diaphinus / divebar

width: 1024
height: 1024
prompt: punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic
refine: base_image_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 1
num_inference_steps: 100

{
  "width": 1024,
  "height": 1024,
  "prompt": "punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic ",
  "refine": "base_image_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 1,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic ",
      refine: "base_image_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 1,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic ",
        "refine": "base_image_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 1,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic ",
      "refine": "base_image_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 1,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic "' \
  -i 'refine="base_image_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=1' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic ",
      "refine": "base_image_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 1,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T02:28:52.113421Z",
  "created_at": "2023-09-30T02:25:44.583323Z",
  "data_removed": false,
  "error": null,
  "id": "576hkkdbnwanrqm4ty6mouezxq",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic ",
    "refine": "base_image_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 1,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 751\nPrompt: punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic\ntxt2img mode\n  0%|          | 0/100 [00:00<?, ?it/s]\n  1%|          | 1/100 [00:01<02:31,  1.53s/it]\n  2%|▏         | 2/100 [00:02<01:59,  1.22s/it]\n  3%|▎         | 3/100 [00:03<01:48,  1.12s/it]\n  4%|▍         | 4/100 [00:04<01:43,  1.07s/it]\n  5%|▌         | 5/100 [00:05<01:39,  1.05s/it]\n  6%|▌         | 6/100 [00:06<01:36,  1.03s/it]\n  7%|▋         | 7/100 [00:07<01:34,  1.02s/it]\n  8%|▊         | 8/100 [00:08<01:33,  1.01s/it]\n  9%|▉         | 9/100 [00:09<01:31,  1.01s/it]\n 10%|█         | 10/100 [00:10<01:30,  1.01s/it]\n 11%|█         | 11/100 [00:11<01:29,  1.00s/it]\n 12%|█▏        | 12/100 [00:12<01:28,  1.00s/it]\n 13%|█▎        | 13/100 [00:13<01:27,  1.00s/it]\n 14%|█▍        | 14/100 [00:14<01:26,  1.00s/it]\n 15%|█▌        | 15/100 [00:15<01:25,  1.00s/it]\n 16%|█▌        | 16/100 [00:16<01:24,  1.00s/it]\n 17%|█▋        | 17/100 [00:17<01:23,  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  "metrics": {
    "predict_time": 132.218824,
    "total_time": 187.530098
  },
  "output": [
    "https://pbxt.replicate.delivery/NrWVNUpDf63wLarMmKMj7dS5aWeJq1YiEJDTCGcOhVzhnTpRA/out-0.png",
    "https://pbxt.replicate.delivery/eSe9cvfBNelCrQxApJzQ21lnpFhWJ0lovsBXNOmSpkxIecKNC/out-1.png",
    "https://pbxt.replicate.delivery/rOmd9rY1oNYRNFIPOF8uGfrBnZOUGk1rW3D5Gef4ljzGPnSjA/out-2.png",
    "https://pbxt.replicate.delivery/On1ZNvw0fp08TijNmvbE6RLL6E0oLed6e0jtYhHkNzTHPnSjA/out-3.png"
  ],
  "started_at": "2023-09-30T02:26:39.894597Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/576hkkdbnwanrqm4ty6mouezxq",
    "cancel": "https://api.replicate.com/v1/predictions/576hkkdbnwanrqm4ty6mouezxq/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

2 minutes 12 seconds

Tweak it ShareReport

Using seed: 751
Prompt: punk twin girls in dive bar bathroom, I-d dazed editorial, photorealistic
txt2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

37zd37lbrdnepdyfuuk3w7mu4e

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3m 38s

Created

over 1 year ago

Input

width: 1024
height: 2048
prompt: punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 12
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 1
num_inference_steps: 100

{
  "width": 1024,
  "height": 2048,
  "prompt": "punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 12,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 1,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      width: 1024,
      height: 2048,
      prompt: "punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 12,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 1,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "width": 1024,
        "height": 2048,
        "prompt": "punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 12,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 1,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "width": 1024,
      "height": 2048,
      "prompt": "punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 12,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 1,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'width=1024' \
  -i 'height=2048' \
  -i 'prompt="punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic "' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=1' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 2048,
      "prompt": "punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 12,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 1,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T02:39:07.762397Z",
  "created_at": "2023-09-30T02:35:29.910983Z",
  "data_removed": false,
  "error": null,
  "id": "37zd37lbrdnepdyfuuk3w7mu4e",
  "input": {
    "width": 1024,
    "height": 2048,
    "prompt": "punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 12,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 1,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 7557\nPrompt: punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic\ntxt2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:02<02:47,  2.12s/it]\n  2%|▎         | 2/80 [00:04<02:44,  2.11s/it]\n  4%|▍         | 3/80 [00:06<02:42,  2.12s/it]\n  5%|▌         | 4/80 [00:08<02:40,  2.12s/it]\n  6%|▋         | 5/80 [00:10<02:38,  2.12s/it]\n  8%|▊         | 6/80 [00:12<02:36,  2.12s/it]\n  9%|▉         | 7/80 [00:14<02:34,  2.12s/it]\n 10%|█         | 8/80 [00:16<02:32,  2.12s/it]\n 11%|█▏        | 9/80 [00:19<02:30,  2.12s/it]\n 12%|█▎        | 10/80 [00:21<02:28,  2.12s/it]\n 14%|█▍        | 11/80 [00:23<02:26,  2.12s/it]\n 15%|█▌        | 12/80 [00:25<02:24,  2.13s/it]\n 16%|█▋        | 13/80 [00:27<02:22,  2.13s/it]\n 18%|█▊        | 14/80 [00:29<02:20,  2.13s/it]\n 19%|█▉        | 15/80 [00:31<02:18,  2.13s/it]\n 20%|██        | 16/80 [00:33<02:16,  2.13s/it]\n 21%|██▏       | 17/80 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85%|████████▌ | 17/20 [00:32<00:05,  1.92s/it]\n 90%|█████████ | 18/20 [00:34<00:03,  1.92s/it]\n 95%|█████████▌| 19/20 [00:36<00:01,  1.92s/it]\n100%|██████████| 20/20 [00:38<00:00,  1.92s/it]\n100%|██████████| 20/20 [00:38<00:00,  1.92s/it]",
  "metrics": {
    "predict_time": 217.894918,
    "total_time": 217.851414
  },
  "output": [
    "https://pbxt.replicate.delivery/bntlvUMxs9qjKFXG5fdM0c4Gicy6SQU9DJGzrspMyLHk4p0IA/out-0.png",
    "https://pbxt.replicate.delivery/pAHnrfrS1SXdQ6sdF8CDbqWL6xc3dfuXzVXhapP16D9KxTpRA/out-1.png",
    "https://pbxt.replicate.delivery/u2X60Vd3UELhOxNJgzpHOOsFny50uKCNU4dFVM3kCXhS8UaE/out-2.png",
    "https://pbxt.replicate.delivery/YBy0tGfdDB0pFyQU2toyAuZredzQGmFp33redNbezZKsEPlGB/out-3.png"
  ],
  "started_at": "2023-09-30T02:35:29.867479Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/37zd37lbrdnepdyfuuk3w7mu4e",
    "cancel": "https://api.replicate.com/v1/predictions/37zd37lbrdnepdyfuuk3w7mu4e/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

3 minutes 38 seconds

Tweak it ShareReport

Using seed: 7557
Prompt: punk twin girls in dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic
txt2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

uw3xhilbbq325ky7dqszg43bdi

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

26m

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 928,
  "height": 1232,
  "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 928,
      height: 1232,
      prompt: " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 928,
        "height": 1232,
        "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt=" cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-01T22:11:18.020123Z",
  "created_at": "2023-10-01T21:45:17.456092Z",
  "data_removed": false,
  "error": null,
  "id": "uw3xhilbbq325ky7dqszg43bdi",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 928,
    "height": 1232,
    "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 4265\nPrompt:  cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:20<19:42, 20.05s/it]\n  3%|▎         | 2/60 [00:39<19:16, 19.93s/it]\n  5%|▌         | 3/60 [00:59<18:55, 19.92s/it]\n  7%|▋         | 4/60 [01:19<18:33, 19.89s/it]\n  8%|▊         | 5/60 [01:39<18:13, 19.88s/it]\n 10%|█         | 6/60 [01:59<17:57, 19.95s/it]\n 12%|█▏        | 7/60 [02:19<17:36, 19.92s/it]\n 13%|█▎        | 8/60 [02:39<17:15, 19.92s/it]\n 15%|█▌        | 9/60 [02:59<16:54, 19.89s/it]\n 17%|█▋        | 10/60 [03:19<16:34, 19.89s/it]\n 18%|█▊        | 11/60 [03:39<16:17, 19.94s/it]\n 20%|██        | 12/60 [03:58<15:55, 19.91s/it]\n 22%|██▏       | 13/60 [04:18<15:36, 19.92s/it]\n 23%|██▎       | 14/60 [04:38<15:15, 19.91s/it]\n 25%|██▌       | 15/60 [04:58<14:56, 19.92s/it]\n 27%|██▋       | 16/60 [05:18<14:39, 19.99s/it]\n 28%|██▊       | 17/60 [05:38<14:18, 19.97s/it]\n 30%|███       | 18/60 [05:58<13:57, 19.95s/it]\n 32%|███▏      | 19/60 [06:18<13:36, 19.91s/it]\n 33%|███▎      | 20/60 [06:38<13:16, 19.91s/it]\n 35%|███▌      | 21/60 [06:58<12:59, 19.98s/it]\n 37%|███▋      | 22/60 [07:18<12:38, 19.97s/it]\n 38%|███▊      | 23/60 [07:38<12:17, 19.94s/it]\n 40%|████      | 24/60 [07:58<11:57, 19.93s/it]\n 42%|████▏     | 25/60 [08:18<11:37, 19.93s/it]\n 43%|████▎     | 26/60 [08:38<11:19, 19.98s/it]\n 45%|████▌     | 27/60 [08:58<10:58, 19.94s/it]\n 47%|████▋     | 28/60 [09:18<10:36, 19.90s/it]\n 48%|████▊     | 29/60 [09:37<10:17, 19.91s/it]\n 50%|█████     | 30/60 [09:57<09:57, 19.91s/it]\n 52%|█████▏    | 31/60 [10:17<09:38, 19.96s/it]\n 53%|█████▎    | 32/60 [10:37<09:18, 19.94s/it]\n 55%|█████▌    | 33/60 [10:57<08:58, 19.94s/it]\n 57%|█████▋    | 34/60 [11:17<08:37, 19.91s/it]\n 58%|█████▊    | 35/60 [11:37<08:18, 19.94s/it]\n 60%|██████    | 36/60 [11:57<07:59, 19.97s/it]\n 62%|██████▏   | 37/60 [12:17<07:39, 19.97s/it]\n 63%|██████▎   | 38/60 [12:37<07:18, 19.95s/it]\n 65%|██████▌   | 39/60 [12:57<06:58, 19.94s/it]\n 67%|██████▋   | 40/60 [13:17<06:38, 19.90s/it]\n 68%|██████▊   | 41/60 [13:37<06:18, 19.93s/it]\n 70%|███████   | 42/60 [13:57<05:58, 19.93s/it]\n 72%|███████▏  | 43/60 [14:17<05:38, 19.92s/it]\n 73%|███████▎  | 44/60 [14:36<05:18, 19.92s/it]\n 75%|███████▌  | 45/60 [14:56<04:58, 19.90s/it]\n 77%|███████▋  | 46/60 [15:16<04:39, 19.97s/it]\n 78%|███████▊  | 47/60 [15:36<04:19, 19.96s/it]\n 80%|████████  | 48/60 [15:56<03:59, 19.92s/it]\n 82%|████████▏ | 49/60 [16:16<03:39, 19.92s/it]\n 83%|████████▎ | 50/60 [16:36<03:19, 19.91s/it]\n 85%|████████▌ | 51/60 [16:56<02:59, 19.98s/it]\n 87%|████████▋ | 52/60 [17:16<02:39, 19.95s/it]\n 88%|████████▊ | 53/60 [17:36<02:19, 19.91s/it]\n 90%|█████████ | 54/60 [17:56<01:59, 19.91s/it]\n 92%|█████████▏| 55/60 [18:16<01:39, 19.91s/it]\n 93%|█████████▎| 56/60 [18:36<01:19, 19.93s/it]\n 95%|█████████▌| 57/60 [18:56<00:59, 19.93s/it]\n 97%|█████████▋| 58/60 [19:16<00:39, 19.92s/it]\n 98%|█████████▊| 59/60 [19:35<00:19, 19.93s/it]\n100%|██████████| 60/60 [19:55<00:00, 19.93s/it]\n100%|██████████| 60/60 [19:55<00:00, 19.93s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:13<04:23, 13.87s/it]\n 10%|█         | 2/20 [00:28<04:13, 14.11s/it]\n 15%|█▌        | 3/20 [00:42<03:58, 14.03s/it]\n 20%|██        | 4/20 [00:56<03:45, 14.12s/it]\n 25%|██▌       | 5/20 [01:10<03:30, 14.05s/it]\n 30%|███       | 6/20 [01:24<03:16, 14.02s/it]\n 35%|███▌      | 7/20 [01:38<03:01, 14.00s/it]\n 40%|████      | 8/20 [01:52<02:48, 14.07s/it]\n 45%|████▌     | 9/20 [02:06<02:35, 14.16s/it]\n 50%|█████     | 10/20 [02:20<02:20, 14.09s/it]\n 55%|█████▌    | 11/20 [02:34<02:06, 14.07s/it]\n 60%|██████    | 12/20 [02:48<01:52, 14.06s/it]\n 65%|██████▌   | 13/20 [03:02<01:38, 14.01s/it]\n 70%|███████   | 14/20 [03:16<01:24, 14.05s/it]\n 75%|███████▌  | 15/20 [03:30<01:10, 14.04s/it]\n 80%|████████  | 16/20 [03:45<00:56, 14.13s/it]\n 85%|████████▌ | 17/20 [03:59<00:42, 14.12s/it]\n 90%|█████████ | 18/20 [04:13<00:28, 14.15s/it]\n 95%|█████████▌| 19/20 [04:27<00:14, 14.12s/it]\n100%|██████████| 20/20 [04:41<00:00, 14.17s/it]\n100%|██████████| 20/20 [04:41<00:00, 14.09s/it]",
  "metrics": {
    "predict_time": 1505.411878,
    "total_time": 1560.564031
  },
  "output": [
    "https://pbxt.replicate.delivery/qnBCCWXY4KL6GlbDoZnJVwCdxBd5eNu3BnRC6SEzJj4BB90IA/out-0.png",
    "https://pbxt.replicate.delivery/0LDkaZfijS2ZPaiKYyXPCC1w1G9q137yoLAtxmUoGDSCB90IA/out-1.png",
    "https://pbxt.replicate.delivery/OdnuXv0HnhY5PNP5WJ7e83JEDs1UML4l987WVT9ZPxvCB90IA/out-2.png",
    "https://pbxt.replicate.delivery/eJnb0oa2XmUMVSVuPcegid65ayELxvmtEjNV6pa0aDyFC6pRA/out-3.png"
  ],
  "started_at": "2023-10-01T21:46:12.608245Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/uw3xhilbbq325ky7dqszg43bdi",
    "cancel": "https://api.replicate.com/v1/predictions/uw3xhilbbq325ky7dqszg43bdi/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

25 minutes 5 seconds

Tweak it ShareReport

Using seed: 4265
Prompt:  cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

nyvzgatbtye2qmzalfrpxrnpku

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

64.7s

Created

over 1 year ago

Input

mask: null
image
width: 896
height: 1344
prompt: Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": null,
  "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
  "width": 896,
  "height": 1344,
  "prompt": "Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      width: 896,
      height: 1344,
      prompt: "Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
        "width": 896,
        "height": 1344,
        "prompt": "Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T22:04:32.920750Z",
  "created_at": "2023-09-30T22:03:28.252856Z",
  "data_removed": false,
  "error": null,
  "id": "nyvzgatbtye2qmzalfrpxrnpku",
  "input": {
    "mask": null,
    "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
    "width": 896,
    "height": 1344,
    "prompt": "Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": "Using seed: 24809\nPrompt: Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph\nimg2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:00<00:58,  1.35it/s]\n  2%|▎         | 2/80 [00:01<00:58,  1.34it/s]\n  4%|▍         | 3/80 [00:02<00:57,  1.34it/s]\n  5%|▌         | 4/80 [00:02<00:56,  1.34it/s]\n  6%|▋         | 5/80 [00:03<00:56,  1.34it/s]\n  8%|▊         | 6/80 [00:04<00:55,  1.33it/s]\n  9%|▉         | 7/80 [00:05<00:54,  1.33it/s]\n 10%|█         | 8/80 [00:05<00:54,  1.33it/s]\n 11%|█▏        | 9/80 [00:06<00:53,  1.33it/s]\n 12%|█▎        | 10/80 [00:07<00:52,  1.33it/s]\n 14%|█▍        | 11/80 [00:08<00:51,  1.33it/s]\n 15%|█▌        | 12/80 [00:09<00:51,  1.33it/s]\n 16%|█▋        | 13/80 [00:09<00:50,  1.33it/s]\n 18%|█▊        | 14/80 [00:10<00:49,  1.33it/s]\n 19%|█▉        | 15/80 [00:11<00:48,  1.33it/s]\n 20%|██        | 16/80 [00:12<00:47,  1.33it/s]\n 21%|██▏       | 17/80 [00:12<00:47,  1.33it/s]\n 22%|██▎       | 18/80 [00:13<00:46,  1.34it/s]\n 24%|██▍       | 19/80 [00:14<00:45,  1.34it/s]\n 25%|██▌       | 20/80 [00:14<00:44,  1.34it/s]\n 26%|██▋       | 21/80 [00:15<00:44,  1.34it/s]\n 28%|██▊       | 22/80 [00:16<00:43,  1.34it/s]\n 29%|██▉       | 23/80 [00:17<00:42,  1.34it/s]\n 30%|███       | 24/80 [00:17<00:41,  1.34it/s]\n 31%|███▏      | 25/80 [00:18<00:41,  1.34it/s]\n 32%|███▎      | 26/80 [00:19<00:40,  1.33it/s]\n 34%|███▍      | 27/80 [00:20<00:39,  1.33it/s]\n 35%|███▌      | 28/80 [00:20<00:38,  1.33it/s]\n 36%|███▋      | 29/80 [00:21<00:38,  1.33it/s]\n 38%|███▊      | 30/80 [00:22<00:37,  1.33it/s]\n 39%|███▉      | 31/80 [00:23<00:36,  1.33it/s]\n 40%|████      | 32/80 [00:23<00:35,  1.33it/s]\n 41%|████▏     | 33/80 [00:24<00:35,  1.33it/s]\n 42%|████▎     | 34/80 [00:25<00:34,  1.33it/s]\n 44%|████▍     | 35/80 [00:26<00:33,  1.33it/s]\n 45%|████▌     | 36/80 [00:26<00:33,  1.33it/s]\n 46%|████▋     | 37/80 [00:27<00:32,  1.33it/s]\n 48%|████▊     | 38/80 [00:28<00:31,  1.33it/s]\n 49%|████▉     | 39/80 [00:29<00:30,  1.33it/s]\n 50%|█████     | 40/80 [00:30<00:30,  1.33it/s]\n 51%|█████▏    | 41/80 [00:30<00:29,  1.33it/s]\n 52%|█████▎    | 42/80 [00:31<00:28,  1.33it/s]\n 54%|█████▍    | 43/80 [00:32<00:27,  1.33it/s]\n 55%|█████▌    | 44/80 [00:33<00:27,  1.33it/s]\n 56%|█████▋    | 45/80 [00:33<00:26,  1.33it/s]\n 57%|█████▊    | 46/80 [00:34<00:25,  1.33it/s]\n 59%|█████▉    | 47/80 [00:35<00:24,  1.33it/s]\n 60%|██████    | 48/80 [00:36<00:24,  1.33it/s]\n 61%|██████▏   | 49/80 [00:36<00:23,  1.33it/s]\n 62%|██████▎   | 50/80 [00:37<00:22,  1.33it/s]\n 64%|██████▍   | 51/80 [00:38<00:21,  1.33it/s]\n 65%|██████▌   | 52/80 [00:39<00:21,  1.33it/s]\n 66%|██████▋   | 53/80 [00:39<00:20,  1.33it/s]\n 68%|██████▊   | 54/80 [00:40<00:19,  1.33it/s]\n 69%|██████▉   | 55/80 [00:41<00:18,  1.33it/s]\n 70%|███████   | 56/80 [00:42<00:18,  1.33it/s]\n 71%|███████▏  | 57/80 [00:42<00:17,  1.33it/s]\n 72%|███████▎  | 58/80 [00:43<00:16,  1.33it/s]\n 74%|███████▍  | 59/80 [00:44<00:15,  1.33it/s]\n 75%|███████▌  | 60/80 [00:45<00:15,  1.33it/s]\n 76%|███████▋  | 61/80 [00:45<00:14,  1.33it/s]\n 78%|███████▊  | 62/80 [00:46<00:13,  1.33it/s]\n 79%|███████▉  | 63/80 [00:47<00:12,  1.33it/s]\n 80%|████████  | 64/80 [00:48<00:12,  1.33it/s]\n 81%|████████▏ | 65/80 [00:48<00:11,  1.33it/s]\n 82%|████████▎ | 66/80 [00:49<00:10,  1.33it/s]\n 84%|████████▍ | 67/80 [00:50<00:09,  1.33it/s]\n 85%|████████▌ | 68/80 [00:51<00:09,  1.33it/s]\n 86%|████████▋ | 69/80 [00:51<00:08,  1.33it/s]\n 88%|████████▊ | 70/80 [00:52<00:07,  1.33it/s]\n 89%|████████▉ | 71/80 [00:53<00:06,  1.33it/s]\n 90%|█████████ | 72/80 [00:54<00:06,  1.33it/s]\n 91%|█████████▏| 73/80 [00:54<00:05,  1.33it/s]\n 92%|█████████▎| 74/80 [00:55<00:04,  1.33it/s]\n 94%|█████████▍| 75/80 [00:56<00:03,  1.33it/s]\n 95%|█████████▌| 76/80 [00:57<00:03,  1.33it/s]\n 96%|█████████▋| 77/80 [00:57<00:02,  1.33it/s]\n 98%|█████████▊| 78/80 [00:58<00:01,  1.33it/s]\n 99%|█████████▉| 79/80 [00:59<00:00,  1.33it/s]\n100%|██████████| 80/80 [01:00<00:00,  1.33it/s]\n100%|██████████| 80/80 [01:00<00:00,  1.33it/s]",
  "metrics": {
    "predict_time": 64.713376,
    "total_time": 64.667894
  },
  "output": [
    "https://pbxt.replicate.delivery/kByLkSZxOOqWN1Pffk6PQAUGkObd8nSZ9Zdzuvb93H9v1kpRA/out-0.png",
    "https://pbxt.replicate.delivery/petB9JBDJ5yfNU0HseUauceX8Z3gJ1jvlpYMuY9cZj5CXTmGB/out-1.png",
    "https://pbxt.replicate.delivery/FZvRNYp1YWIXLtz2WshUDRrzyNIOk8H5rzC6vrCPfZL4ay0IA/out-2.png",
    "https://pbxt.replicate.delivery/Jf7YvVD36d2yaSqNBhOneoIvb1DpQwXqgJSD0xQMYFxw1kpRA/out-3.png"
  ],
  "started_at": "2023-09-30T22:03:28.207374Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nyvzgatbtye2qmzalfrpxrnpku",
    "cancel": "https://api.replicate.com/v1/predictions/nyvzgatbtye2qmzalfrpxrnpku/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

64.7 seconds

Tweak it ShareReport

Using seed: 24809
Prompt: Punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead with pink and green hair in total darkness her phone is the only source of illumination in a dive bar bathroom covered with graffiti photographed by Diane Arbus and Sylvia Plachy, dimly lit, color photograph
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

uonhexlbbh3hvm4xvfzhvvwlcm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

65.1s

Created

over 1 year ago

Input

mask: null
image
width: 1024
height: 1024
prompt: night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic,
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": null,
  "image": "https://replicate.delivery/pbxt/JcVTpAAZWd0AXTsYUogLrzLv6olnYe516Zjn1OhE5uSw0dIC/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
  "width": 1024,
  "height": 1024,
  "prompt": "night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic, ",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcVTpAAZWd0AXTsYUogLrzLv6olnYe516Zjn1OhE5uSw0dIC/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      width: 1024,
      height: 1024,
      prompt: "night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic, ",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcVTpAAZWd0AXTsYUogLrzLv6olnYe516Zjn1OhE5uSw0dIC/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
        "width": 1024,
        "height": 1024,
        "prompt": "night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic, ",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVTpAAZWd0AXTsYUogLrzLv6olnYe516Zjn1OhE5uSw0dIC/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 1024,
      "height": 1024,
      "prompt": "night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcVTpAAZWd0AXTsYUogLrzLv6olnYe516Zjn1OhE5uSw0dIC/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg"' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic, "' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVTpAAZWd0AXTsYUogLrzLv6olnYe516Zjn1OhE5uSw0dIC/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 1024,
      "height": 1024,
      "prompt": "night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T21:48:19.296488Z",
  "created_at": "2023-09-30T21:47:14.199959Z",
  "data_removed": false,
  "error": null,
  "id": "uonhexlbbh3hvm4xvfzhvvwlcm",
  "input": {
    "mask": null,
    "image": "https://replicate.delivery/pbxt/JcVTpAAZWd0AXTsYUogLrzLv6olnYe516Zjn1OhE5uSw0dIC/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
    "width": 1024,
    "height": 1024,
    "prompt": "night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic, ",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": "Using seed: 60180\nPrompt: night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic,\nimg2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:00<00:59,  1.33it/s]\n  2%|▎         | 2/80 [00:01<00:58,  1.33it/s]\n  4%|▍         | 3/80 [00:02<00:57,  1.33it/s]\n  5%|▌         | 4/80 [00:03<00:57,  1.33it/s]\n  6%|▋         | 5/80 [00:03<00:56,  1.33it/s]\n  8%|▊         | 6/80 [00:04<00:55,  1.33it/s]\n  9%|▉         | 7/80 [00:05<00:54,  1.33it/s]\n 10%|█         | 8/80 [00:06<00:54,  1.33it/s]\n 11%|█▏        | 9/80 [00:06<00:53,  1.33it/s]\n 12%|█▎        | 10/80 [00:07<00:52,  1.33it/s]\n 14%|█▍        | 11/80 [00:08<00:51,  1.33it/s]\n 15%|█▌        | 12/80 [00:09<00:51,  1.33it/s]\n 16%|█▋        | 13/80 [00:09<00:50,  1.33it/s]\n 18%|█▊        | 14/80 [00:10<00:49,  1.33it/s]\n 19%|█▉        | 15/80 [00:11<00:48,  1.33it/s]\n 20%|██        | 16/80 [00:12<00:48,  1.33it/s]\n 21%|██▏       | 17/80 [00:12<00:47,  1.33it/s]\n 22%|██▎       | 18/80 [00:13<00:46,  1.33it/s]\n 24%|██▍       | 19/80 [00:14<00:45,  1.33it/s]\n 25%|██▌       | 20/80 [00:15<00:45,  1.33it/s]\n 26%|██▋       | 21/80 [00:15<00:44,  1.33it/s]\n 28%|██▊       | 22/80 [00:16<00:43,  1.33it/s]\n 29%|██▉       | 23/80 [00:17<00:42,  1.33it/s]\n 30%|███       | 24/80 [00:18<00:42,  1.33it/s]\n 31%|███▏      | 25/80 [00:18<00:41,  1.33it/s]\n 32%|███▎      | 26/80 [00:19<00:40,  1.33it/s]\n 34%|███▍      | 27/80 [00:20<00:39,  1.33it/s]\n 35%|███▌      | 28/80 [00:21<00:39,  1.33it/s]\n 36%|███▋      | 29/80 [00:21<00:38,  1.33it/s]\n 38%|███▊      | 30/80 [00:22<00:37,  1.33it/s]\n 39%|███▉      | 31/80 [00:23<00:36,  1.33it/s]\n 40%|████      | 32/80 [00:24<00:36,  1.33it/s]\n 41%|████▏     | 33/80 [00:24<00:35,  1.33it/s]\n 42%|████▎     | 34/80 [00:25<00:34,  1.32it/s]\n 44%|████▍     | 35/80 [00:26<00:33,  1.32it/s]\n 45%|████▌     | 36/80 [00:27<00:33,  1.33it/s]\n 46%|████▋     | 37/80 [00:27<00:32,  1.33it/s]\n 48%|████▊     | 38/80 [00:28<00:31,  1.33it/s]\n 49%|████▉     | 39/80 [00:29<00:30,  1.32it/s]\n 50%|█████     | 40/80 [00:30<00:30,  1.32it/s]\n 51%|█████▏    | 41/80 [00:30<00:29,  1.32it/s]\n 52%|█████▎    | 42/80 [00:31<00:28,  1.32it/s]\n 54%|█████▍    | 43/80 [00:32<00:27,  1.32it/s]\n 55%|█████▌    | 44/80 [00:33<00:27,  1.32it/s]\n 56%|█████▋    | 45/80 [00:33<00:26,  1.32it/s]\n 57%|█████▊    | 46/80 [00:34<00:25,  1.32it/s]\n 59%|█████▉    | 47/80 [00:35<00:24,  1.32it/s]\n 60%|██████    | 48/80 [00:36<00:24,  1.32it/s]\n 61%|██████▏   | 49/80 [00:36<00:23,  1.32it/s]\n 62%|██████▎   | 50/80 [00:37<00:22,  1.32it/s]\n 64%|██████▍   | 51/80 [00:38<00:21,  1.32it/s]\n 65%|██████▌   | 52/80 [00:39<00:21,  1.32it/s]\n 66%|██████▋   | 53/80 [00:39<00:20,  1.32it/s]\n 68%|██████▊   | 54/80 [00:40<00:19,  1.32it/s]\n 69%|██████▉   | 55/80 [00:41<00:18,  1.32it/s]\n 70%|███████   | 56/80 [00:42<00:18,  1.32it/s]\n 71%|███████▏  | 57/80 [00:42<00:17,  1.32it/s]\n 72%|███████▎  | 58/80 [00:43<00:16,  1.32it/s]\n 74%|███████▍  | 59/80 [00:44<00:15,  1.32it/s]\n 75%|███████▌  | 60/80 [00:45<00:15,  1.32it/s]\n 76%|███████▋  | 61/80 [00:46<00:14,  1.32it/s]\n 78%|███████▊  | 62/80 [00:46<00:13,  1.32it/s]\n 79%|███████▉  | 63/80 [00:47<00:12,  1.32it/s]\n 80%|████████  | 64/80 [00:48<00:12,  1.32it/s]\n 81%|████████▏ | 65/80 [00:49<00:11,  1.32it/s]\n 82%|████████▎ | 66/80 [00:49<00:10,  1.32it/s]\n 84%|████████▍ | 67/80 [00:50<00:09,  1.32it/s]\n 85%|████████▌ | 68/80 [00:51<00:09,  1.32it/s]\n 86%|████████▋ | 69/80 [00:52<00:08,  1.32it/s]\n 88%|████████▊ | 70/80 [00:52<00:07,  1.32it/s]\n 89%|████████▉ | 71/80 [00:53<00:06,  1.32it/s]\n 90%|█████████ | 72/80 [00:54<00:06,  1.32it/s]\n 91%|█████████▏| 73/80 [00:55<00:05,  1.32it/s]\n 92%|█████████▎| 74/80 [00:55<00:04,  1.32it/s]\n 94%|█████████▍| 75/80 [00:56<00:03,  1.32it/s]\n 95%|█████████▌| 76/80 [00:57<00:03,  1.32it/s]\n 96%|█████████▋| 77/80 [00:58<00:02,  1.32it/s]\n 98%|█████████▊| 78/80 [00:58<00:01,  1.32it/s]\n 99%|█████████▉| 79/80 [00:59<00:00,  1.32it/s]\n100%|██████████| 80/80 [01:00<00:00,  1.32it/s]\n100%|██████████| 80/80 [01:00<00:00,  1.32it/s]",
  "metrics": {
    "predict_time": 65.132882,
    "total_time": 65.096529
  },
  "output": [
    "https://pbxt.replicate.delivery/mBNePVLJEn2CYyNZaJ2Vk7E7NGeU4xbV7surXLygZg8hmkpRA/out-0.png",
    "https://pbxt.replicate.delivery/4hQhEYeTNETf6U6Efgxrtk3amqwnOn5BxMeGhn6gKqRLaSmGB/out-1.png",
    "https://pbxt.replicate.delivery/ffmTEH4bxdoQzkFQk9cjD9HVwFo40Pz61uNbuenAeAPLaSmGB/out-2.png",
    "https://pbxt.replicate.delivery/3c4hBFcaR7qCGNVY3phzjyaA0d64Ij31fe2oQiEensJGNJTjA/out-3.png"
  ],
  "started_at": "2023-09-30T21:47:14.163606Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/uonhexlbbh3hvm4xvfzhvvwlcm",
    "cancel": "https://api.replicate.com/v1/predictions/uonhexlbbh3hvm4xvfzhvvwlcm/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

65.1 seconds

Tweak it ShareReport

Using seed: 60180
Prompt: night flash photography of cyberpunk twin girls reflected in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, the phone is the only source of illumination, photographed by Diane Arbus and Sylvia Plachy, color photograph, distressed, photorealistic,
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

kwp5o33bksrfps7qsfhp2pkz6i

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 55s

Created

over 1 year ago

Input

width: 928
height: 1312
prompt: a cyberpunk taking a selfie in a divebar bathroom in the style of TOK
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "width": 928,
  "height": 1312,
  "prompt": "a cyberpunk taking a selfie in a divebar bathroom in the style of TOK",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      width: 928,
      height: 1312,
      prompt: "a cyberpunk taking a selfie in a divebar bathroom in the style of TOK",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "width": 928,
        "height": 1312,
        "prompt": "a cyberpunk taking a selfie in a divebar bathroom in the style of TOK",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "width": 928,
      "height": 1312,
      "prompt": "a cyberpunk taking a selfie in a divebar bathroom in the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="a cyberpunk taking a selfie in a divebar bathroom in the style of TOK"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 928,
      "height": 1312,
      "prompt": "a cyberpunk taking a selfie in a divebar bathroom in the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-01T20:44:42.460592Z",
  "created_at": "2023-10-01T20:41:47.575168Z",
  "data_removed": false,
  "error": null,
  "id": "kwp5o33bksrfps7qsfhp2pkz6i",
  "input": {
    "width": 928,
    "height": 1312,
    "prompt": "a cyberpunk taking a selfie in a divebar bathroom in the style of TOK",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 29670\nPrompt: a cyberpunk taking a selfie in a divebar bathroom in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:01<02:16,  1.72s/it]\n  2%|▎         | 2/80 [00:02<01:50,  1.41s/it]\n  4%|▍         | 3/80 [00:04<01:40,  1.31s/it]\n  5%|▌         | 4/80 [00:05<01:36,  1.26s/it]\n  6%|▋         | 5/80 [00:06<01:32,  1.24s/it]\n  8%|▊         | 6/80 [00:07<01:30,  1.23s/it]\n  9%|▉         | 7/80 [00:08<01:28,  1.22s/it]\n 10%|█         | 8/80 [00:10<01:27,  1.21s/it]\n 11%|█▏        | 9/80 [00:11<01:25,  1.21s/it]\n 12%|█▎        | 10/80 [00:12<01:24,  1.20s/it]\n 14%|█▍        | 11/80 [00:13<01:22,  1.20s/it]\n 15%|█▌        | 12/80 [00:14<01:21,  1.20s/it]\n 16%|█▋        | 13/80 [00:16<01:20,  1.20s/it]\n 18%|█▊        | 14/80 [00:17<01:19,  1.20s/it]\n 19%|█▉        | 15/80 [00:18<01:17,  1.20s/it]\n 20%|██        | 16/80 [00:19<01:16,  1.20s/it]\n 21%|██▏       | 17/80 [00:20<01:15,  1.20s/it]\n 22%|██▎ 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99%|█████████▉| 79/80 [01:35<00:01,  1.21s/it]\n100%|██████████| 80/80 [01:36<00:00,  1.21s/it]\n100%|██████████| 80/80 [01:36<00:00,  1.21s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:01<00:19,  1.02s/it]\n 10%|█         | 2/20 [00:02<00:18,  1.02s/it]\n 15%|█▌        | 3/20 [00:03<00:17,  1.01s/it]\n 20%|██        | 4/20 [00:04<00:16,  1.02s/it]\n 25%|██▌       | 5/20 [00:05<00:15,  1.01s/it]\n 30%|███       | 6/20 [00:06<00:14,  1.01s/it]\n 35%|███▌      | 7/20 [00:07<00:13,  1.01s/it]\n 40%|████      | 8/20 [00:08<00:12,  1.01s/it]\n 45%|████▌     | 9/20 [00:09<00:11,  1.02s/it]\n 50%|█████     | 10/20 [00:10<00:10,  1.01s/it]\n 55%|█████▌    | 11/20 [00:11<00:09,  1.01s/it]\n 60%|██████    | 12/20 [00:12<00:08,  1.01s/it]\n 65%|██████▌   | 13/20 [00:13<00:07,  1.02s/it]\n 70%|███████   | 14/20 [00:14<00:06,  1.01s/it]\n 75%|███████▌  | 15/20 [00:15<00:05,  1.01s/it]\n 80%|████████  | 16/20 [00:16<00:04,  1.01s/it]\n 85%|████████▌ | 17/20 [00:17<00:03,  1.01s/it]\n 90%|█████████ | 18/20 [00:18<00:02,  1.01s/it]\n 95%|█████████▌| 19/20 [00:19<00:01,  1.01s/it]\n100%|██████████| 20/20 [00:20<00:00,  1.02s/it]\n100%|██████████| 20/20 [00:20<00:00,  1.01s/it]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 1",
  "metrics": {
    "predict_time": 123.114187,
    "total_time": 174.885424
  },
  "output": [
    "https://pbxt.replicate.delivery/n7DMwJlXe6QXMynuVHH0UklyirpyTtb4jUeZyxXVMvm4w4pRA/out-0.png",
    "https://pbxt.replicate.delivery/w7QYd50BynqaBZVAVvqjCdmJLwjTHgbcsEJNrteKzg5cY80IA/out-2.png",
    "https://pbxt.replicate.delivery/cNJwNcpudirLKJ3ePdMQuOWDQm6xfC7uvcdY3G9KUhA6w4pRA/out-3.png"
  ],
  "started_at": "2023-10-01T20:42:39.346405Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/kwp5o33bksrfps7qsfhp2pkz6i",
    "cancel": "https://api.replicate.com/v1/predictions/kwp5o33bksrfps7qsfhp2pkz6i/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

2 minutes

Tweak it ShareReport

Using seed: 29670
Prompt: a cyberpunk taking a selfie in a divebar bathroom in the style of <s0><s1>
txt2img mode
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Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
NSFW content detected in image 1

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

jlrougtbnchklmunptbddfkmry

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

Created

over 1 year ago

Input

width: 928
height: 1312
prompt: cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "width": 928,
  "height": 1312,
  "prompt": "cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      width: 928,
      height: 1312,
      prompt: "cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "width": 928,
        "height": 1312,
        "prompt": "cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "width": 928,
      "height": 1312,
      "prompt": "cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 928,
      "height": 1312,
      "prompt": "cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-01T20:56:08.314847Z",
  "created_at": "2023-10-01T20:53:07.813434Z",
  "data_removed": false,
  "error": null,
  "id": "jlrougtbnchklmunptbddfkmry",
  "input": {
    "width": 928,
    "height": 1312,
    "prompt": "cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of TOK",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 50436\nPrompt: cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:01<02:17,  1.74s/it]\n  2%|▎         | 2/80 [00:02<01:50,  1.41s/it]\n  4%|▍         | 3/80 [00:04<01:40,  1.31s/it]\n  5%|▌         | 4/80 [00:05<01:36,  1.26s/it]\n  6%|▋         | 5/80 [00:06<01:32,  1.24s/it]\n  8%|▊         | 6/80 [00:07<01:30,  1.22s/it]\n  9%|▉         | 7/80 [00:08<01:28,  1.21s/it]\n 10%|█         | 8/80 [00:10<01:26,  1.21s/it]\n 11%|█▏        | 9/80 [00:11<01:25,  1.20s/it]\n 12%|█▎        | 10/80 [00:12<01:24,  1.20s/it]\n 14%|█▍        | 11/80 [00:13<01:22,  1.20s/it]\n 15%|█▌        | 12/80 [00:14<01:21,  1.20s/it]\n 16%|█▋        | 13/80 [00:16<01:20,  1.20s/it]\n 18%|█▊        | 14/80 [00:17<01:18,  1.20s/it]\n 19%|█▉        | 15/80 [00:18<01:17,  1.20s/it]\n 20%|██        | 16/80 [00:19<01:16,  1.20s/it]\n 21%|██▏       | 17/80 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  "metrics": {
    "predict_time": 124.675522,
    "total_time": 180.501413
  },
  "output": [
    "https://pbxt.replicate.delivery/Od7ZfhRUcYQ7IS3CO3x6vI1RmF31YYsaNW6UZBV2KiZyd80IA/out-0.png",
    "https://pbxt.replicate.delivery/hdqbpdLdhIJDKxJGdsnNyhsYSVFuNiRgocXwOA5O53l5Oe0IA/out-1.png",
    "https://pbxt.replicate.delivery/yYg7l4bbi5bRERGeyvebQ0ER5WftEJx1YUDvxAUU8NyP3xTjA/out-2.png",
    "https://pbxt.replicate.delivery/TnEk6pl9lt7EBNAjTuJelLVtL30rdA4yAtV2Pp0ldfBn74pRA/out-3.png"
  ],
  "started_at": "2023-10-01T20:54:03.639325Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jlrougtbnchklmunptbddfkmry",
    "cancel": "https://api.replicate.com/v1/predictions/jlrougtbnchklmunptbddfkmry/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

2 minutes

Tweak it ShareReport

Using seed: 50436
Prompt: cyberpunks taking selfies in a divebar bathroom that’s covered with graffiti in the style of <s0><s1>
txt2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

j65opmlbyl4zijb55i3iffcc4i

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 30s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 928,
  "height": 1232,
  "prompt": "Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 928,
      height: 1232,
      prompt: "Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 928,
        "height": 1232,
        "prompt": "Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-02T17:56:43.973335Z",
  "created_at": "2023-10-02T17:54:14.204284Z",
  "data_removed": false,
  "error": null,
  "id": "j65opmlbyl4zijb55i3iffcc4i",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 928,
    "height": 1232,
    "prompt": "Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 7410\nPrompt: Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:00<00:58,  1.01it/s]\n  3%|▎         | 2/60 [00:01<00:57,  1.01it/s]\n  5%|▌         | 3/60 [00:02<00:56,  1.01it/s]\n  7%|▋         | 4/60 [00:03<00:55,  1.01it/s]\n  8%|▊         | 5/60 [00:04<00:54,  1.01it/s]\n 10%|█         | 6/60 [00:05<00:53,  1.01it/s]\n 12%|█▏        | 7/60 [00:06<00:52,  1.01it/s]\n 13%|█▎        | 8/60 [00:07<00:51,  1.00it/s]\n 15%|█▌        | 9/60 [00:08<00:50,  1.00it/s]\n 17%|█▋        | 10/60 [00:09<00:49,  1.01it/s]\n 18%|█▊        | 11/60 [00:10<00:48,  1.01it/s]\n 20%|██        | 12/60 [00:11<00:47,  1.01it/s]\n 22%|██▏       | 13/60 [00:12<00:46,  1.01it/s]\n 23%|██▎       | 14/60 [00:13<00:45,  1.01it/s]\n 25%|██▌       | 15/60 [00:14<00:44,  1.01it/s]\n 27%|██▋       | 16/60 [00:15<00:43,  1.01it/s]\n 28%|██▊       | 17/60 [00:16<00:42,  1.01it/s]\n 30%|███       | 18/60 [00:17<00:41,  1.01it/s]\n 32%|███▏      | 19/60 [00:18<00:40,  1.01it/s]\n 33%|███▎      | 20/60 [00:19<00:39,  1.01it/s]\n 35%|███▌      | 21/60 [00:20<00:38,  1.01it/s]\n 37%|███▋      | 22/60 [00:21<00:37,  1.01it/s]\n 38%|███▊      | 23/60 [00:22<00:36,  1.01it/s]\n 40%|████      | 24/60 [00:23<00:35,  1.00it/s]\n 42%|████▏     | 25/60 [00:24<00:34,  1.00it/s]\n 43%|████▎     | 26/60 [00:25<00:33,  1.00it/s]\n 45%|████▌     | 27/60 [00:26<00:32,  1.00it/s]\n 47%|████▋     | 28/60 [00:27<00:31,  1.00it/s]\n 48%|████▊     | 29/60 [00:28<00:30,  1.00it/s]\n 50%|█████     | 30/60 [00:29<00:29,  1.00it/s]\n 52%|█████▏    | 31/60 [00:30<00:28,  1.00it/s]\n 53%|█████▎    | 32/60 [00:31<00:27,  1.00it/s]\n 55%|█████▌    | 33/60 [00:32<00:26,  1.00it/s]\n 57%|█████▋    | 34/60 [00:33<00:25,  1.00it/s]\n 58%|█████▊    | 35/60 [00:34<00:24,  1.00it/s]\n 60%|██████    | 36/60 [00:35<00:23,  1.00it/s]\n 62%|██████▏   | 37/60 [00:36<00:22,  1.00it/s]\n 63%|██████▎   | 38/60 [00:37<00:21,  1.00it/s]\n 65%|██████▌   | 39/60 [00:38<00:20,  1.00it/s]\n 67%|██████▋   | 40/60 [00:39<00:19,  1.00it/s]\n 68%|██████▊   | 41/60 [00:40<00:18,  1.00it/s]\n 70%|███████   | 42/60 [00:41<00:18,  1.00s/it]\n 72%|███████▏  | 43/60 [00:42<00:17,  1.00s/it]\n 73%|███████▎  | 44/60 [00:43<00:16,  1.00s/it]\n 75%|███████▌  | 45/60 [00:44<00:15,  1.00s/it]\n 77%|███████▋  | 46/60 [00:45<00:14,  1.00s/it]\n 78%|███████▊  | 47/60 [00:46<00:13,  1.00s/it]\n 80%|████████  | 48/60 [00:47<00:12,  1.00s/it]\n 82%|████████▏ | 49/60 [00:48<00:11,  1.00s/it]\n 83%|████████▎ | 50/60 [00:49<00:10,  1.00s/it]\n 85%|████████▌ | 51/60 [00:50<00:09,  1.00s/it]\n 87%|████████▋ | 52/60 [00:51<00:08,  1.00s/it]\n 88%|████████▊ | 53/60 [00:52<00:07,  1.00s/it]\n 90%|█████████ | 54/60 [00:53<00:06,  1.00s/it]\n 92%|█████████▏| 55/60 [00:54<00:05,  1.00s/it]\n 93%|█████████▎| 56/60 [00:55<00:04,  1.00s/it]\n 95%|█████████▌| 57/60 [00:56<00:03,  1.00s/it]\n 97%|█████████▋| 58/60 [00:57<00:02,  1.00s/it]\n 98%|█████████▊| 59/60 [00:58<00:01,  1.00s/it]\n100%|██████████| 60/60 [00:59<00:00,  1.00s/it]\n100%|██████████| 60/60 [00:59<00:00,  1.00it/s]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.23it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.23it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.23it/s]\n 20%|██        | 4/20 [00:03<00:12,  1.23it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.23it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.23it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.23it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.23it/s]\n 45%|████▌     | 9/20 [00:07<00:08,  1.23it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.23it/s]\n 55%|█████▌    | 11/20 [00:08<00:07,  1.23it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.23it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.23it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.23it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.23it/s]\n 80%|████████  | 16/20 [00:12<00:03,  1.23it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.23it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.23it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.23it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.23it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.23it/s]",
  "metrics": {
    "predict_time": 83.797337,
    "total_time": 149.769051
  },
  "output": [
    "https://pbxt.replicate.delivery/q4Nq6O7wnuaKN1BCFhFtvJQ8X8kvxUV9XiXeTIB6PyeZZLqRA/out-0.png",
    "https://pbxt.replicate.delivery/gdZ6YKouveV2B6Qp9iXsfTS4HBVOVQR1JtTShLj4ePq1yWUjA/out-1.png",
    "https://pbxt.replicate.delivery/u34vkr9KHKoJKJjEv2pBpWO5Qo3iOWqZhztqCJorcj3W2iaE/out-2.png",
    "https://pbxt.replicate.delivery/Gv8NevPXffGjzJoK1oc2KceVLdz3jD3mVCWyavF5Ld2sltoGB/out-3.png"
  ],
  "started_at": "2023-10-02T17:55:20.175998Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/j65opmlbyl4zijb55i3iffcc4i",
    "cancel": "https://api.replicate.com/v1/predictions/j65opmlbyl4zijb55i3iffcc4i/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

83.8 seconds

Tweak it ShareReport

Using seed: 7410
Prompt: Cyborg camouflaged in graffiti in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

eqjvvv3bv6hi3ohuc5o2nmwbri

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3m 24s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdIHA7yFvdJcoX3fpV2j995oMjicxEJa7a0bHLqpPNC8eXE1/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdIHA7yFvdJcoX3fpV2j995oMjicxEJa7a0bHLqpPNC8eXE1/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdIHA7yFvdJcoX3fpV2j995oMjicxEJa7a0bHLqpPNC8eXE1/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIHA7yFvdJcoX3fpV2j995oMjicxEJa7a0bHLqpPNC8eXE1/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdIHA7yFvdJcoX3fpV2j995oMjicxEJa7a0bHLqpPNC8eXE1/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIHA7yFvdJcoX3fpV2j995oMjicxEJa7a0bHLqpPNC8eXE1/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:03:29.847864Z",
  "created_at": "2023-10-03T03:00:06.338831Z",
  "data_removed": false,
  "error": null,
  "id": "eqjvvv3bv6hi3ohuc5o2nmwbri",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdIHA7yFvdJcoX3fpV2j995oMjicxEJa7a0bHLqpPNC8eXE1/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 34133\nPrompt: cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.17s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.16s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.16s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.17s/it]\n  8%|▊         | 5/60 [00:05<01:04,  1.17s/it]\n 10%|█         | 6/60 [00:07<01:03,  1.17s/it]\n 12%|█▏        | 7/60 [00:08<01:01,  1.17s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.17s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.17s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.17s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.17s/it]\n 20%|██        | 12/60 [00:14<00:56,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:54,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:21<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:47,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.17s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.17s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.17s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.17s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.17s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.17s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.17s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.17s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.18s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.18s/it]\n 58%|█████▊    | 35/60 [00:40<00:29,  1.18s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.18s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.18s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.18s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.18s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.18s/it]\n 68%|██████▊   | 41/60 [00:48<00:22,  1.18s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.18s/it]\n 72%|███████▏  | 43/60 [00:50<00:20,  1.18s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:53<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:01<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.18s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:06<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.17s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.03it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.03it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.03it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.04it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.04it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.04it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.04it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 97.952849,
    "total_time": 203.509033
  },
  "output": [
    "https://pbxt.replicate.delivery/MxHrTTRIYx5LOxVeDgh4fJTp5yzByQDU2bBbXZplxR3fzmUjA/out-0.png",
    "https://pbxt.replicate.delivery/YtcbRKS53tqfEqwUPVgnivuEePGjhGG2nAGI7LcsEpbAaTqRA/out-1.png",
    "https://pbxt.replicate.delivery/owNJvZKg7z44NNvzfRM2GA7Uf1f8bS3mhgaCE6ClfUfGQbSNC/out-2.png",
    "https://pbxt.replicate.delivery/Chll88GZXq48FxcyZHKX8VJgQ72ZgJVRYGT7BOlLeZpAtJ1IA/out-3.png"
  ],
  "started_at": "2023-10-03T03:01:51.895015Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/eqjvvv3bv6hi3ohuc5o2nmwbri",
    "cancel": "https://api.replicate.com/v1/predictions/eqjvvv3bv6hi3ohuc5o2nmwbri/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 38 seconds

Tweak it ShareReport

Using seed: 34133
Prompt: cyberpunk girl in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

66rfp2lbxrpnmven47xbf7xdam

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 37s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdIRZBmluWRk8RyfJsH8r2JOtgD5gDEID8laJA0eoKKTr9Cx/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdIRZBmluWRk8RyfJsH8r2JOtgD5gDEID8laJA0eoKKTr9Cx/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdIRZBmluWRk8RyfJsH8r2JOtgD5gDEID8laJA0eoKKTr9Cx/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIRZBmluWRk8RyfJsH8r2JOtgD5gDEID8laJA0eoKKTr9Cx/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdIRZBmluWRk8RyfJsH8r2JOtgD5gDEID8laJA0eoKKTr9Cx/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIRZBmluWRk8RyfJsH8r2JOtgD5gDEID8laJA0eoKKTr9Cx/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:12:41.531164Z",
  "created_at": "2023-10-03T03:11:04.604906Z",
  "data_removed": false,
  "error": null,
  "id": "66rfp2lbxrpnmven47xbf7xdam",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdIRZBmluWRk8RyfJsH8r2JOtgD5gDEID8laJA0eoKKTr9Cx/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 1902\nPrompt: Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.16s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.17s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.17s/it]\n  8%|▊         | 5/60 [00:05<01:04,  1.17s/it]\n 10%|█         | 6/60 [00:07<01:03,  1.17s/it]\n 12%|█▏        | 7/60 [00:08<01:01,  1.17s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.17s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.17s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.17s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.17s/it]\n 20%|██        | 12/60 [00:14<00:56,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:54,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:21<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:48,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.17s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.18s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.18s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.18s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.18s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.18s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.18s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.18s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.18s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.18s/it]\n 58%|█████▊    | 35/60 [00:41<00:29,  1.18s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.18s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.18s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.18s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.18s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.18s/it]\n 68%|██████▊   | 41/60 [00:48<00:22,  1.18s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.18s/it]\n 72%|███████▏  | 43/60 [00:50<00:20,  1.18s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:54<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:01<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.18s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:07<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.04it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.04it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.04it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.04it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.03it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.03it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.03it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 96.92722,
    "total_time": 96.926258
  },
  "output": [
    "https://pbxt.replicate.delivery/BrwDLUGuR07aLB1GQ6lxsxGRIEVQK4SNfmmuXfGRKPMmiTqRA/out-0.png",
    "https://pbxt.replicate.delivery/QWJJ44VgLfxe80cSvNX44mLG2ZAUHfjDbvqpeKGstfSDVcSNC/out-1.png",
    "https://pbxt.replicate.delivery/veHcEY925G1kTCupFOtvImnDpbjlNqf4xzTv8VJHMXuoiTqRA/out-2.png",
    "https://pbxt.replicate.delivery/2HTnl9gdtPJPJlIjFNsKe2nQ8Dqs6G3HWi5ZJicO6wepiTqRA/out-3.png"
  ],
  "started_at": "2023-10-03T03:11:04.603944Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/66rfp2lbxrpnmven47xbf7xdam",
    "cancel": "https://api.replicate.com/v1/predictions/66rfp2lbxrpnmven47xbf7xdam/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 37 seconds

Tweak it ShareReport

Using seed: 1902
Prompt: Cyberpunk with pink hair wearing a necklace that says Claire Silver in a dive bar bathroom covered with graffiti, in the style of Blade Runner and Trainspotting
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

5v7tldlbqn67z5hmr3h3drasji

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 37s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:29:08.406012Z",
  "created_at": "2023-10-03T03:27:31.820886Z",
  "data_removed": false,
  "error": null,
  "id": "5v7tldlbqn67z5hmr3h3drasji",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 354\nPrompt: Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.16s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.17s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.16s/it]\n  8%|▊         | 5/60 [00:05<01:04,  1.16s/it]\n 10%|█         | 6/60 [00:06<01:02,  1.16s/it]\n 12%|█▏        | 7/60 [00:08<01:01,  1.16s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.16s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.16s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.16s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.16s/it]\n 20%|██        | 12/60 [00:13<00:55,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:54,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:20<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:47,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.17s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.17s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.17s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.17s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.17s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.17s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.17s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.17s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.17s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.17s/it]\n 58%|█████▊    | 35/60 [00:40<00:29,  1.17s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.17s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.18s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.18s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.18s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.18s/it]\n 68%|██████▊   | 41/60 [00:48<00:22,  1.18s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.17s/it]\n 72%|███████▏  | 43/60 [00:50<00:19,  1.18s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:53<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:00<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.18s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:06<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.17s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.04it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.04it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.04it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.04it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.04it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.04it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.04it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 96.573949,
    "total_time": 96.585126
  },
  "output": [
    "https://pbxt.replicate.delivery/tW8VJypr6v6CPB02I387UazFuyIiOA4BR1wH5ezQEyfByTqRA/out-0.png",
    "https://pbxt.replicate.delivery/YEOMO8ZoNzJuFtdirMmdT18BFZfzQUprcBBvabVw2EDB5J1IA/out-1.png",
    "https://pbxt.replicate.delivery/96iTarR3XZ47P989nJeY8L6ejSZSet1YcHCbe1BSNMrMIPpGB/out-2.png",
    "https://pbxt.replicate.delivery/ihn4OehKQ5yACykidi91FI7F10J33zJ3PI9LHCMgp6LC5J1IA/out-3.png"
  ],
  "started_at": "2023-10-03T03:27:31.832063Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/5v7tldlbqn67z5hmr3h3drasji",
    "cancel": "https://api.replicate.com/v1/predictions/5v7tldlbqn67z5hmr3h3drasji/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 37 seconds

Tweak it ShareReport

Using seed: 354
Prompt: Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says happy birthday Claire Silver!, in the style of Blade Runner and Trainspotting
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

czo4y4lbwpe4l3mb6rvsgknn3i

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 37s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Happy Birthday Claire Silver! In the style of TOK
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdIsebmCosR1T8jfT2P3tJ5M2KBOHff5m0iPMGVeLthOFgxY/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Happy Birthday Claire Silver! In the style of TOK",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdIsebmCosR1T8jfT2P3tJ5M2KBOHff5m0iPMGVeLthOFgxY/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Happy Birthday Claire Silver! In the style of TOK",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdIsebmCosR1T8jfT2P3tJ5M2KBOHff5m0iPMGVeLthOFgxY/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Happy Birthday Claire Silver! In the style of TOK",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIsebmCosR1T8jfT2P3tJ5M2KBOHff5m0iPMGVeLthOFgxY/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Happy Birthday Claire Silver! In the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdIsebmCosR1T8jfT2P3tJ5M2KBOHff5m0iPMGVeLthOFgxY/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Happy Birthday Claire Silver! In the style of TOK"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIsebmCosR1T8jfT2P3tJ5M2KBOHff5m0iPMGVeLthOFgxY/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Happy Birthday Claire Silver! In the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:41:16.205075Z",
  "created_at": "2023-10-03T03:39:39.416076Z",
  "data_removed": false,
  "error": null,
  "id": "czo4y4lbwpe4l3mb6rvsgknn3i",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdIsebmCosR1T8jfT2P3tJ5M2KBOHff5m0iPMGVeLthOFgxY/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Happy Birthday Claire Silver! In the style of TOK",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 34728\nPrompt: Happy Birthday Claire Silver! In the style of <s0><s1>\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.16s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.16s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.17s/it]\n  8%|▊         | 5/60 [00:05<01:03,  1.16s/it]\n 10%|█         | 6/60 [00:06<01:02,  1.16s/it]\n 12%|█▏        | 7/60 [00:08<01:01,  1.16s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.16s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.16s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.16s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.16s/it]\n 20%|██        | 12/60 [00:13<00:55,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:54,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:21<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:48,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.17s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.17s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.17s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.17s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.17s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.17s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.17s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.17s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.17s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.17s/it]\n 58%|█████▊    | 35/60 [00:40<00:29,  1.17s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.17s/it]\n 62%|██████▏   | 37/60 [00:43<00:26,  1.17s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.17s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.17s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.17s/it]\n 68%|██████▊   | 41/60 [00:47<00:22,  1.17s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.17s/it]\n 72%|███████▏  | 43/60 [00:50<00:19,  1.17s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.17s/it]\n 77%|███████▋  | 46/60 [00:53<00:16,  1.17s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:00<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.18s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:06<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.17s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.04it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.04it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.04it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.04it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.04it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.04it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.04it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 96.812455,
    "total_time": 96.788999
  },
  "output": [
    "https://pbxt.replicate.delivery/MQe7msjmw525Taemmo0C8mDfhvpawpZBKgTXadVU1Sek1PpGB/out-0.png",
    "https://pbxt.replicate.delivery/esbSeLnH84lhnUkJQHn8pitsOuJew3cNmL13QODvZGy16nUjA/out-1.png",
    "https://pbxt.replicate.delivery/8BiCs0gTDeQ9RKEQGgphnkW7ctte4Ps6jpgw2UKB483b9TqRA/out-2.png",
    "https://pbxt.replicate.delivery/rPzUp7CUIkJIGZN1CL8tmTWObU6uLKxNHNIvkgS5HU5WfJ1IA/out-3.png"
  ],
  "started_at": "2023-10-03T03:39:39.392620Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/czo4y4lbwpe4l3mb6rvsgknn3i",
    "cancel": "https://api.replicate.com/v1/predictions/czo4y4lbwpe4l3mb6rvsgknn3i/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 37 seconds

Tweak it ShareReport

Using seed: 34728
Prompt: Happy Birthday Claire Silver! In the style of <s0><s1>
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

g5cxzbtb3rqldmpvsrsrumged4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 26s

Created

over 1 year ago

Input

mask: null
image
width: 928
height: 1312
prompt: Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": null,
  "image": "https://replicate.delivery/pbxt/JcVKmOhFNF8xFryLXECoa7sAMO9j41R3rrNg9kIbq7J91ELr/E1321DBF-86F5-46E6-9CB3-BF2A776CD78B_1_102_o.jpeg",
  "width": 928,
  "height": 1312,
  "prompt": "Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcVKmOhFNF8xFryLXECoa7sAMO9j41R3rrNg9kIbq7J91ELr/E1321DBF-86F5-46E6-9CB3-BF2A776CD78B_1_102_o.jpeg",
      width: 928,
      height: 1312,
      prompt: "Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcVKmOhFNF8xFryLXECoa7sAMO9j41R3rrNg9kIbq7J91ELr/E1321DBF-86F5-46E6-9CB3-BF2A776CD78B_1_102_o.jpeg",
        "width": 928,
        "height": 1312,
        "prompt": "Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVKmOhFNF8xFryLXECoa7sAMO9j41R3rrNg9kIbq7J91ELr/E1321DBF-86F5-46E6-9CB3-BF2A776CD78B_1_102_o.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcVKmOhFNF8xFryLXECoa7sAMO9j41R3rrNg9kIbq7J91ELr/E1321DBF-86F5-46E6-9CB3-BF2A776CD78B_1_102_o.jpeg"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, "' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVKmOhFNF8xFryLXECoa7sAMO9j41R3rrNg9kIbq7J91ELr/E1321DBF-86F5-46E6-9CB3-BF2A776CD78B_1_102_o.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T21:40:07.908370Z",
  "created_at": "2023-09-30T21:37:41.545074Z",
  "data_removed": false,
  "error": null,
  "id": "g5cxzbtb3rqldmpvsrsrumged4",
  "input": {
    "mask": null,
    "image": "https://replicate.delivery/pbxt/JcVKmOhFNF8xFryLXECoa7sAMO9j41R3rrNg9kIbq7J91ELr/E1321DBF-86F5-46E6-9CB3-BF2A776CD78B_1_102_o.jpeg",
    "width": 928,
    "height": 1312,
    "prompt": "Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": "Using seed: 40504\nPrompt: Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,\nimg2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:01<01:34,  1.19s/it]\n  2%|▎         | 2/80 [00:02<01:32,  1.19s/it]\n  4%|▍         | 3/80 [00:03<01:31,  1.19s/it]\n  5%|▌         | 4/80 [00:04<01:30,  1.19s/it]\n  6%|▋         | 5/80 [00:05<01:29,  1.19s/it]\n  8%|▊         | 6/80 [00:07<01:28,  1.19s/it]\n  9%|▉         | 7/80 [00:08<01:27,  1.20s/it]\n 10%|█         | 8/80 [00:09<01:26,  1.20s/it]\n 11%|█▏        | 9/80 [00:10<01:24,  1.20s/it]\n 12%|█▎        | 10/80 [00:11<01:23,  1.20s/it]\n 14%|█▍        | 11/80 [00:13<01:22,  1.20s/it]\n 15%|█▌        | 12/80 [00:14<01:21,  1.19s/it]\n 16%|█▋        | 13/80 [00:15<01:19,  1.19s/it]\n 18%|█▊        | 14/80 [00:16<01:18,  1.19s/it]\n 19%|█▉        | 15/80 [00:17<01:17,  1.19s/it]\n 20%|██        | 16/80 [00:19<01:16,  1.19s/it]\n 21%|██▏       | 17/80 [00:20<01:15,  1.19s/it]\n 22%|██▎       | 18/80 [00:21<01:13,  1.19s/it]\n 24%|██▍       | 19/80 [00:22<01:12,  1.19s/it]\n 25%|██▌       | 20/80 [00:23<01:11,  1.19s/it]\n 26%|██▋       | 21/80 [00:25<01:10,  1.19s/it]\n 28%|██▊       | 22/80 [00:26<01:09,  1.19s/it]\n 29%|██▉       | 23/80 [00:27<01:08,  1.19s/it]\n 30%|███       | 24/80 [00:28<01:06,  1.19s/it]\n 31%|███▏      | 25/80 [00:29<01:05,  1.19s/it]\n 32%|███▎      | 26/80 [00:31<01:04,  1.20s/it]\n 34%|███▍      | 27/80 [00:32<01:03,  1.19s/it]\n 35%|███▌      | 28/80 [00:33<01:02,  1.19s/it]\n 36%|███▋      | 29/80 [00:34<01:00,  1.19s/it]\n 38%|███▊      | 30/80 [00:35<00:59,  1.20s/it]\n 39%|███▉      | 31/80 [00:36<00:58,  1.20s/it]\n 40%|████      | 32/80 [00:38<00:57,  1.19s/it]\n 41%|████▏     | 33/80 [00:39<00:56,  1.20s/it]\n 42%|████▎     | 34/80 [00:40<00:54,  1.20s/it]\n 44%|████▍     | 35/80 [00:41<00:53,  1.20s/it]\n 45%|████▌     | 36/80 [00:42<00:52,  1.20s/it]\n 46%|████▋     | 37/80 [00:44<00:51,  1.20s/it]\n 48%|████▊     | 38/80 [00:45<00:50,  1.20s/it]\n 49%|████▉     | 39/80 [00:46<00:49,  1.20s/it]\n 50%|█████     | 40/80 [00:47<00:47,  1.20s/it]\n 51%|█████▏    | 41/80 [00:48<00:46,  1.20s/it]\n 52%|█████▎    | 42/80 [00:50<00:45,  1.20s/it]\n 54%|█████▍    | 43/80 [00:51<00:44,  1.20s/it]\n 55%|█████▌    | 44/80 [00:52<00:43,  1.20s/it]\n 56%|█████▋    | 45/80 [00:53<00:41,  1.20s/it]\n 57%|█████▊    | 46/80 [00:54<00:40,  1.20s/it]\n 59%|█████▉    | 47/80 [00:56<00:39,  1.20s/it]\n 60%|██████    | 48/80 [00:57<00:38,  1.20s/it]\n 61%|██████▏   | 49/80 [00:58<00:37,  1.20s/it]\n 62%|██████▎   | 50/80 [00:59<00:35,  1.20s/it]\n 64%|██████▍   | 51/80 [01:00<00:34,  1.20s/it]\n 65%|██████▌   | 52/80 [01:02<00:33,  1.20s/it]\n 66%|██████▋   | 53/80 [01:03<00:32,  1.20s/it]\n 68%|██████▊   | 54/80 [01:04<00:31,  1.20s/it]\n 69%|██████▉   | 55/80 [01:05<00:29,  1.20s/it]\n 70%|███████   | 56/80 [01:06<00:28,  1.20s/it]\n 71%|███████▏  | 57/80 [01:08<00:27,  1.20s/it]\n 72%|███████▎  | 58/80 [01:09<00:26,  1.20s/it]\n 74%|███████▍  | 59/80 [01:10<00:25,  1.20s/it]\n 75%|███████▌  | 60/80 [01:11<00:23,  1.20s/it]\n 76%|███████▋  | 61/80 [01:12<00:22,  1.20s/it]\n 78%|███████▊  | 62/80 [01:14<00:21,  1.20s/it]\n 79%|███████▉  | 63/80 [01:15<00:20,  1.20s/it]\n 80%|████████  | 64/80 [01:16<00:19,  1.20s/it]\n 81%|████████▏ | 65/80 [01:17<00:17,  1.20s/it]\n 82%|████████▎ | 66/80 [01:18<00:16,  1.20s/it]\n 84%|████████▍ | 67/80 [01:20<00:15,  1.20s/it]\n 85%|████████▌ | 68/80 [01:21<00:14,  1.20s/it]\n 86%|████████▋ | 69/80 [01:22<00:13,  1.20s/it]\n 88%|████████▊ | 70/80 [01:23<00:11,  1.20s/it]\n 89%|████████▉ | 71/80 [01:24<00:10,  1.20s/it]\n 90%|█████████ | 72/80 [01:26<00:09,  1.20s/it]\n 91%|█████████▏| 73/80 [01:27<00:08,  1.20s/it]\n 92%|█████████▎| 74/80 [01:28<00:07,  1.20s/it]\n 94%|█████████▍| 75/80 [01:29<00:05,  1.20s/it]\n 95%|█████████▌| 76/80 [01:30<00:04,  1.20s/it]\n 96%|█████████▋| 77/80 [01:32<00:03,  1.20s/it]\n 98%|█████████▊| 78/80 [01:33<00:02,  1.20s/it]\n 99%|█████████▉| 79/80 [01:34<00:01,  1.20s/it]\n100%|██████████| 80/80 [01:35<00:00,  1.20s/it]\n100%|██████████| 80/80 [01:35<00:00,  1.20s/it]",
  "metrics": {
    "predict_time": 103.25182,
    "total_time": 146.363296
  },
  "output": [
    "https://pbxt.replicate.delivery/NqHeNHdgTNSuBipJ8Y46DXbsrJ7Ifm67ECRxR7Vv5SC2eITjA/out-0.png",
    "https://pbxt.replicate.delivery/hcIoJZi754qJNZVte8lozYIFWnWH7jCWTfNeiJUx0c7s9ITjA/out-1.png",
    "https://pbxt.replicate.delivery/O3eomEqBfxtgfILfhS6nbDZwIv8GCYz3AlSBGmGalz9e2jMNC/out-2.png",
    "https://pbxt.replicate.delivery/2VfefMbblxBhBIrInZ07IqxiQPOeyPyOXDMxDUpkOXWf2jMNC/out-3.png"
  ],
  "started_at": "2023-09-30T21:38:24.656550Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/g5cxzbtb3rqldmpvsrsrumged4",
    "cancel": "https://api.replicate.com/v1/predictions/g5cxzbtb3rqldmpvsrsrumged4/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 43 seconds

Tweak it ShareReport

Using seed: 40504
Prompt: Neon light leaks from cracks in the porcelain skin of punk anime girls taking selfies in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

ayhpkjlbfjaycapdiak6wqncg4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

4m 39s

Created

over 1 year ago

Input

width: 1024
height: 1024
prompt: punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt
prompt_strength: 0.8
num_inference_steps: 101

{
  "width": 1024,
  "height": 1024,
  "prompt": "punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt=""' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T00:17:48.777501Z",
  "created_at": "2023-09-30T00:13:09.440386Z",
  "data_removed": false,
  "error": null,
  "id": "ayhpkjlbfjaycapdiak6wqncg4",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of TOK",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": "Using seed: 17186\nPrompt: punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/101 [00:00<?, ?it/s]\n  1%|          | 1/101 [00:01<02:29,  1.50s/it]\n  2%|▏         | 2/101 [00:02<01:59,  1.21s/it]\n  3%|▎         | 3/101 [00:03<01:49,  1.11s/it]\n  4%|▍         | 4/101 [00:04<01:43,  1.07s/it]\n  5%|▍         | 5/101 [00:05<01:40,  1.05s/it]\n  6%|▌         | 6/101 [00:06<01:38,  1.03s/it]\n  7%|▋         | 7/101 [00:07<01:36,  1.02s/it]\n  8%|▊         | 8/101 [00:08<01:34,  1.02s/it]\n  9%|▉         | 9/101 [00:09<01:33,  1.01s/it]\n 10%|▉         | 10/101 [00:10<01:32,  1.01s/it]\n 11%|█         | 11/101 [00:11<01:30,  1.01s/it]\n 12%|█▏        | 12/101 [00:12<01:29,  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  "metrics": {
    "predict_time": 109.495585,
    "total_time": 279.337115
  },
  "output": [
    "https://pbxt.replicate.delivery/tkPM4fKe9eRVvIYaYSscE6ebXxXerEUfpEW03LBh0JdpKbUaE/out-0.png",
    "https://pbxt.replicate.delivery/RppKyJKLd5qdCBgXeGUXf0cbsbObU3unx9ftfNuzKypsyGlGB/out-1.png",
    "https://pbxt.replicate.delivery/UfuDnq8qln2UMiTqGB8uaeF0R3fJLcMcCBxXSfdnbtHtyGlGB/out-2.png",
    "https://pbxt.replicate.delivery/zxnEzmxw5vr3EVLJtFsJKYtbubKhAdmO4RmJgH6kJGLLbUaE/out-3.png"
  ],
  "started_at": "2023-09-30T00:15:59.281916Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ayhpkjlbfjaycapdiak6wqncg4",
    "cancel": "https://api.replicate.com/v1/predictions/ayhpkjlbfjaycapdiak6wqncg4/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 49 seconds

Tweak it ShareReport

Using seed: 17186
Prompt: punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead emerging from inside a Cracked and crumbling porcelain statue finished with a blue translucent coating on black, both eyes looking forward, glowing green magenta neon light coming leaks from the cracks, pieces missing, On the style of <s0><s1>
txt2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

klzfvhtb7k23k6v3ohcezo3q7u

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 9s

Created

over 1 year ago

Input

mask
image: null
width: 928
height: 1312
prompt: in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
  "image": null,
  "width": 928,
  "height": 1312,
  "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      width: 928,
      height: 1312,
      prompt: "in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
        "width": 928,
        "height": 1312,
        "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, "' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T21:20:52.443633Z",
  "created_at": "2023-09-30T21:18:43.506557Z",
  "data_removed": false,
  "error": null,
  "id": "klzfvhtb7k23k6v3ohcezo3q7u",
  "input": {
    "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
    "image": null,
    "width": 928,
    "height": 1312,
    "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": "Using seed: 59281\nPrompt: in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,\ntxt2img mode\n  0%|          | 0/101 [00:00<?, ?it/s]\n  1%|          | 1/101 [00:01<01:59,  1.19s/it]\n  2%|▏         | 2/101 [00:02<01:57,  1.19s/it]\n  3%|▎         | 3/101 [00:03<01:56,  1.19s/it]\n  4%|▍         | 4/101 [00:04<01:55,  1.19s/it]\n  5%|▍         | 5/101 [00:05<01:54,  1.19s/it]\n  6%|▌         | 6/101 [00:07<01:53,  1.19s/it]\n  7%|▋         | 7/101 [00:08<01:52,  1.19s/it]\n  8%|▊         | 8/101 [00:09<01:51,  1.19s/it]\n  9%|▉         | 9/101 [00:10<01:49,  1.19s/it]\n 10%|▉         | 10/101 [00:11<01:48,  1.19s/it]\n 11%|█         | 11/101 [00:13<01:47,  1.19s/it]\n 12%|█▏        | 12/101 [00:14<01:45,  1.19s/it]\n 13%|█▎        | 13/101 [00:15<01:44,  1.19s/it]\n 14%|█▍        | 14/101 [00:16<01:43,  1.19s/it]\n 15%|█▍ 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  "metrics": {
    "predict_time": 128.938692,
    "total_time": 128.937076
  },
  "output": [
    "https://pbxt.replicate.delivery/Siy20X8f7pwEPCpez75cV9DfSnMJljH3iMVNM0xsYVeFzQmGB/out-0.png",
    "https://pbxt.replicate.delivery/JCfbLu5g0gSHC6Id8IMKU9wpQVaiCWn9oQh4VVOfZhyyMkpRA/out-1.png",
    "https://pbxt.replicate.delivery/OjnHx5JqwOLMIpsT2C7eAcDTHCEsemLlymf11jHjuFkmZITjA/out-2.png",
    "https://pbxt.replicate.delivery/StA4l5jQ5Y4QK9jMhfEwqL66uJdefyvo8KDytOAuFEVpZITjA/out-3.png"
  ],
  "started_at": "2023-09-30T21:18:43.504941Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/klzfvhtb7k23k6v3ohcezo3q7u",
    "cancel": "https://api.replicate.com/v1/predictions/klzfvhtb7k23k6v3ohcezo3q7u/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

2 minutes 9 seconds

Tweak it ShareReport

Using seed: 59281
Prompt: in total darkness iPhone is the only source of illumination of cyberpunk girls in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,
txt2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

bbbn26dboa4ctcaht67hi7pba4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3m 22s

Created

over 1 year ago

Input

width: 928
height: 1312
prompt: a cyberpunk taking a selfie in a divebar in the style of TOK
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "width": 928,
  "height": 1312,
  "prompt": "a cyberpunk taking a selfie in a divebar in the style of TOK",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      width: 928,
      height: 1312,
      prompt: "a cyberpunk taking a selfie in a divebar in the style of TOK",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "width": 928,
        "height": 1312,
        "prompt": "a cyberpunk taking a selfie in a divebar in the style of TOK",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "width": 928,
      "height": 1312,
      "prompt": "a cyberpunk taking a selfie in a divebar in the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="a cyberpunk taking a selfie in a divebar in the style of TOK"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 928,
      "height": 1312,
      "prompt": "a cyberpunk taking a selfie in a divebar in the style of TOK",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-01T20:19:24.149070Z",
  "created_at": "2023-10-01T20:16:02.327577Z",
  "data_removed": false,
  "error": null,
  "id": "bbbn26dboa4ctcaht67hi7pba4",
  "input": {
    "width": 928,
    "height": 1312,
    "prompt": "a cyberpunk taking a selfie in a divebar in the style of TOK",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 60445\nPrompt: a cyberpunk taking a selfie in a divebar in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:01<02:18,  1.75s/it]\n  2%|▎         | 2/80 [00:02<01:51,  1.43s/it]\n  4%|▍         | 3/80 [00:04<01:41,  1.32s/it]\n  5%|▌         | 4/80 [00:05<01:36,  1.27s/it]\n  6%|▋         | 5/80 [00:06<01:33,  1.25s/it]\n  8%|▊         | 6/80 [00:07<01:30,  1.23s/it]\n  9%|▉         | 7/80 [00:08<01:28,  1.22s/it]\n 10%|█         | 8/80 [00:10<01:27,  1.21s/it]\n 11%|█▏        | 9/80 [00:11<01:25,  1.21s/it]\n 12%|█▎        | 10/80 [00:12<01:24,  1.20s/it]\n 14%|█▍        | 11/80 [00:13<01:22,  1.20s/it]\n 15%|█▌        | 12/80 [00:14<01:21,  1.20s/it]\n 16%|█▋        | 13/80 [00:16<01:20,  1.20s/it]\n 18%|█▊        | 14/80 [00:17<01:19,  1.20s/it]\n 19%|█▉        | 15/80 [00:18<01:17,  1.20s/it]\n 20%|██        | 16/80 [00:19<01:16,  1.20s/it]\n 21%|██▏       | 17/80 [00:20<01:15,  1.20s/it]\n 22%|██▎       | 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  "metrics": {
    "predict_time": 129.452848,
    "total_time": 201.821493
  },
  "output": [
    "https://pbxt.replicate.delivery/FBkiCvnopFbGKx5ectv8QOIzYZqiMWP7QOP2cVX2ARGiM80IA/out-0.png",
    "https://pbxt.replicate.delivery/18TtKIXerd2KWKfvWYKiTMlYPxfZcZV7e3g3tZt2pdQokhnGB/out-1.png",
    "https://pbxt.replicate.delivery/17OFd6Z1AEIJE9DQhTpvdFgxO3JmnVrDwyLLB8Dkft8lM80IA/out-2.png",
    "https://pbxt.replicate.delivery/imXonkngtaKZBhOYA2frQAWrYLAKL2wfxETzaNwf1cVWywTjA/out-3.png"
  ],
  "started_at": "2023-10-01T20:17:14.696222Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/bbbn26dboa4ctcaht67hi7pba4",
    "cancel": "https://api.replicate.com/v1/predictions/bbbn26dboa4ctcaht67hi7pba4/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

2 minutes 9 seconds

Tweak it ShareReport

Using seed: 60445
Prompt: a cyberpunk taking a selfie in a divebar in the style of <s0><s1>
txt2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

yhh5j2lbcxc5jcajd4u6y7qm3q

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 60s

Created

over 1 year ago

Input

width: 928
height: 1232
prompt: cyberpunk2077 divebar bathroom covered with graffiti
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "width": 928,
  "height": 1232,
  "prompt": "cyberpunk2077 divebar bathroom covered with graffiti",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      width: 928,
      height: 1232,
      prompt: "cyberpunk2077 divebar bathroom covered with graffiti",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "width": 928,
        "height": 1232,
        "prompt": "cyberpunk2077 divebar bathroom covered with graffiti",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "width": 928,
      "height": 1232,
      "prompt": "cyberpunk2077 divebar bathroom covered with graffiti",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="cyberpunk2077 divebar bathroom covered with graffiti"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "width": 928,
      "height": 1232,
      "prompt": "cyberpunk2077 divebar bathroom covered with graffiti",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-01T21:09:53.673716Z",
  "created_at": "2023-10-01T21:06:54.017959Z",
  "data_removed": false,
  "error": null,
  "id": "yhh5j2lbcxc5jcajd4u6y7qm3q",
  "input": {
    "width": 928,
    "height": 1232,
    "prompt": "cyberpunk2077 divebar bathroom covered with graffiti",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 39399\nPrompt: cyberpunk2077 divebar bathroom covered with graffiti\ntxt2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:02<02:47,  2.12s/it]\n  2%|▎         | 2/80 [00:03<01:59,  1.53s/it]\n  4%|▍         | 3/80 [00:04<01:43,  1.35s/it]\n  5%|▌         | 4/80 [00:05<01:35,  1.26s/it]\n  6%|▋         | 5/80 [00:06<01:31,  1.21s/it]\n  8%|▊         | 6/80 [00:07<01:27,  1.19s/it]\n  9%|▉         | 7/80 [00:08<01:25,  1.17s/it]\n 10%|█         | 8/80 [00:10<01:23,  1.16s/it]\n 11%|█▏        | 9/80 [00:11<01:21,  1.15s/it]\n 12%|█▎        | 10/80 [00:12<01:19,  1.14s/it]\n 14%|█▍        | 11/80 [00:13<01:18,  1.14s/it]\n 15%|█▌        | 12/80 [00:14<01:17,  1.13s/it]\n 16%|█▋        | 13/80 [00:15<01:15,  1.13s/it]\n 18%|█▊        | 14/80 [00:16<01:14,  1.13s/it]\n 19%|█▉        | 15/80 [00:17<01:13,  1.13s/it]\n 20%|██        | 16/80 [00:19<01:12,  1.13s/it]\n 21%|██▏       | 17/80 [00:20<01:11,  1.13s/it]\n 22%|██▎       | 18/80 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  "metrics": {
    "predict_time": 118.112974,
    "total_time": 179.655757
  },
  "output": [
    "https://pbxt.replicate.delivery/8jbGSc6B127JMVeMEMPzhnxhKbPGgWXJ1vVodM95bl1Pk80IA/out-0.png",
    "https://pbxt.replicate.delivery/LNktcLBoeiUndCB8JvxY6AQ31g4CQltpgZ4VEtebqkrgI5pRA/out-1.png",
    "https://pbxt.replicate.delivery/SGtifFSWbeoVz0qHv8f46h4f1tfjvWotezZD51wPCHuJISe0IA/out-2.png",
    "https://pbxt.replicate.delivery/jxYjeNt6hkQPMaV1a3PrS0Ft1mvNh1kaYUH0ZroK6fthI5pRA/out-3.png"
  ],
  "started_at": "2023-10-01T21:07:55.560742Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/yhh5j2lbcxc5jcajd4u6y7qm3q",
    "cancel": "https://api.replicate.com/v1/predictions/yhh5j2lbcxc5jcajd4u6y7qm3q/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 58 seconds

Tweak it ShareReport

Using seed: 39399
Prompt: cyberpunk2077 divebar bathroom covered with graffiti
txt2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

57s3fdlbjk25vfrx62xtvdcis4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 36s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 928,
  "height": 1232,
  "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 928,
      height: 1232,
      prompt: " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 928,
        "height": 1232,
        "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt=" cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-02T02:04:08.628097Z",
  "created_at": "2023-10-02T02:01:32.172197Z",
  "data_removed": false,
  "error": null,
  "id": "57s3fdlbjk25vfrx62xtvdcis4",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 928,
    "height": 1232,
    "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 18097\nPrompt:  cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:00,  1.03s/it]\n  3%|▎         | 2/60 [00:02<00:58,  1.01s/it]\n  5%|▌         | 3/60 [00:03<00:57,  1.01s/it]\n  7%|▋         | 4/60 [00:04<00:56,  1.01s/it]\n  8%|▊         | 5/60 [00:05<00:55,  1.01s/it]\n 10%|█         | 6/60 [00:06<00:54,  1.01s/it]\n 12%|█▏        | 7/60 [00:07<00:53,  1.01s/it]\n 13%|█▎        | 8/60 [00:08<00:52,  1.00s/it]\n 15%|█▌        | 9/60 [00:09<00:51,  1.00s/it]\n 17%|█▋        | 10/60 [00:10<00:50,  1.00s/it]\n 18%|█▊        | 11/60 [00:11<00:49,  1.00s/it]\n 20%|██        | 12/60 [00:12<00:48,  1.00s/it]\n 22%|██▏       | 13/60 [00:13<00:47,  1.00s/it]\n 23%|██▎       | 14/60 [00:14<00:46,  1.00s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.01s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.01s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.01s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.01s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.01s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.01s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.01s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.01s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.01s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.01s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.01s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.01s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.01s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.01s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.01s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.01s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.01s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.01s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.01s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.01s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.01s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.01s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.01s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.01s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.01s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.01s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.01s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.01s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.01s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.01s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.01s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.01s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.01s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.01s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.01s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.01s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.02s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.22it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.22it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.22it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.22it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.22it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.22it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.22it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.22it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.22it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.22it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.22it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.22it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.22it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.22it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.22it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.22it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.22it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.22it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]",
  "metrics": {
    "predict_time": 86.786356,
    "total_time": 156.4559
  },
  "output": [
    "https://pbxt.replicate.delivery/G0eM2utnJpS4LSVRJg4zIuyD3myCceUiYgt0xgiKwsjWc9pRA/out-0.png",
    "https://pbxt.replicate.delivery/esDfTinAExnoeofZ4nyAYxt0KC7jexJJ94iEX7ecxNV7FXf0IA/out-1.png",
    "https://pbxt.replicate.delivery/Sg2yzGTQz5ZRAdm8ZlJPJ0e3dAMLEgB09CWDRNy2yqrLuepRA/out-2.png",
    "https://pbxt.replicate.delivery/9KtNZGgYqopEDh6hzVdcVqEJcKu04cJwscWIeQpxtaWMuepRA/out-3.png"
  ],
  "started_at": "2023-10-02T02:02:41.841741Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/57s3fdlbjk25vfrx62xtvdcis4",
    "cancel": "https://api.replicate.com/v1/predictions/57s3fdlbjk25vfrx62xtvdcis4/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

86.8 seconds

Tweak it ShareReport

Using seed: 18097
Prompt:  cyberpunk taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

6j6h4y3biss6tv246tc6xxqmce

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 42s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/Jcvy83h7HoLcdUWUtpgkKbYY66ZnPZ3YvJ53W8dMgbwucqbl/IMG_3210.png",
  "width": 928,
  "height": 1232,
  "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Jcvy83h7HoLcdUWUtpgkKbYY66ZnPZ3YvJ53W8dMgbwucqbl/IMG_3210.png",
      width: 928,
      height: 1232,
      prompt: " cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/Jcvy83h7HoLcdUWUtpgkKbYY66ZnPZ3YvJ53W8dMgbwucqbl/IMG_3210.png",
        "width": 928,
        "height": 1232,
        "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/Jcvy83h7HoLcdUWUtpgkKbYY66ZnPZ3YvJ53W8dMgbwucqbl/IMG_3210.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/Jcvy83h7HoLcdUWUtpgkKbYY66ZnPZ3YvJ53W8dMgbwucqbl/IMG_3210.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt=" cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/Jcvy83h7HoLcdUWUtpgkKbYY66ZnPZ3YvJ53W8dMgbwucqbl/IMG_3210.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-02T02:43:10.811235Z",
  "created_at": "2023-10-02T02:40:28.972614Z",
  "data_removed": false,
  "error": null,
  "id": "6j6h4y3biss6tv246tc6xxqmce",
  "input": {
    "image": "https://replicate.delivery/pbxt/Jcvy83h7HoLcdUWUtpgkKbYY66ZnPZ3YvJ53W8dMgbwucqbl/IMG_3210.png",
    "width": 928,
    "height": 1232,
    "prompt": " cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 58823\nPrompt:  cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:03,  1.07s/it]\n  3%|▎         | 2/60 [00:02<01:02,  1.07s/it]\n  5%|▌         | 3/60 [00:03<01:01,  1.07s/it]\n  7%|▋         | 4/60 [00:04<00:59,  1.07s/it]\n  8%|▊         | 5/60 [00:05<00:58,  1.07s/it]\n 10%|█         | 6/60 [00:06<00:57,  1.07s/it]\n 12%|█▏        | 7/60 [00:07<00:56,  1.07s/it]\n 13%|█▎        | 8/60 [00:08<00:55,  1.07s/it]\n 15%|█▌        | 9/60 [00:09<00:54,  1.07s/it]\n 17%|█▋        | 10/60 [00:10<00:53,  1.07s/it]\n 18%|█▊        | 11/60 [00:11<00:52,  1.07s/it]\n 20%|██        | 12/60 [00:12<00:51,  1.07s/it]\n 22%|██▏       | 13/60 [00:13<00:50,  1.07s/it]\n 23%|██▎       | 14/60 [00:15<00:49,  1.08s/it]\n 25%|██▌       | 15/60 [00:16<00:48,  1.08s/it]\n 27%|██▋       | 16/60 [00:17<00:47,  1.08s/it]\n 28%|██▊       | 17/60 [00:18<00:46,  1.08s/it]\n 30%|███       | 18/60 [00:19<00:45,  1.08s/it]\n 32%|███▏      | 19/60 [00:20<00:44,  1.08s/it]\n 33%|███▎      | 20/60 [00:21<00:43,  1.08s/it]\n 35%|███▌      | 21/60 [00:22<00:42,  1.08s/it]\n 37%|███▋      | 22/60 [00:23<00:41,  1.08s/it]\n 38%|███▊      | 23/60 [00:24<00:39,  1.08s/it]\n 40%|████      | 24/60 [00:25<00:38,  1.08s/it]\n 42%|████▏     | 25/60 [00:26<00:37,  1.08s/it]\n 43%|████▎     | 26/60 [00:27<00:36,  1.08s/it]\n 45%|████▌     | 27/60 [00:29<00:35,  1.08s/it]\n 47%|████▋     | 28/60 [00:30<00:34,  1.08s/it]\n 48%|████▊     | 29/60 [00:31<00:33,  1.08s/it]\n 50%|█████     | 30/60 [00:32<00:32,  1.08s/it]\n 52%|█████▏    | 31/60 [00:33<00:31,  1.08s/it]\n 53%|█████▎    | 32/60 [00:34<00:30,  1.08s/it]\n 55%|█████▌    | 33/60 [00:35<00:29,  1.08s/it]\n 57%|█████▋    | 34/60 [00:36<00:28,  1.08s/it]\n 58%|█████▊    | 35/60 [00:37<00:27,  1.08s/it]\n 60%|██████    | 36/60 [00:38<00:26,  1.08s/it]\n 62%|██████▏   | 37/60 [00:39<00:24,  1.08s/it]\n 63%|██████▎   | 38/60 [00:40<00:23,  1.08s/it]\n 65%|██████▌   | 39/60 [00:42<00:22,  1.08s/it]\n 67%|██████▋   | 40/60 [00:43<00:21,  1.09s/it]\n 68%|██████▊   | 41/60 [00:44<00:20,  1.09s/it]\n 70%|███████   | 42/60 [00:45<00:19,  1.09s/it]\n 72%|███████▏  | 43/60 [00:46<00:18,  1.09s/it]\n 73%|███████▎  | 44/60 [00:47<00:17,  1.09s/it]\n 75%|███████▌  | 45/60 [00:48<00:16,  1.09s/it]\n 77%|███████▋  | 46/60 [00:49<00:15,  1.09s/it]\n 78%|███████▊  | 47/60 [00:50<00:14,  1.09s/it]\n 80%|████████  | 48/60 [00:51<00:13,  1.09s/it]\n 82%|████████▏ | 49/60 [00:52<00:11,  1.09s/it]\n 83%|████████▎ | 50/60 [00:54<00:10,  1.09s/it]\n 85%|████████▌ | 51/60 [00:55<00:09,  1.09s/it]\n 87%|████████▋ | 52/60 [00:56<00:08,  1.09s/it]\n 88%|████████▊ | 53/60 [00:57<00:07,  1.09s/it]\n 90%|█████████ | 54/60 [00:58<00:06,  1.09s/it]\n 92%|█████████▏| 55/60 [00:59<00:05,  1.09s/it]\n 93%|█████████▎| 56/60 [01:00<00:04,  1.09s/it]\n 95%|█████████▌| 57/60 [01:01<00:03,  1.09s/it]\n 97%|█████████▋| 58/60 [01:02<00:02,  1.09s/it]\n 98%|█████████▊| 59/60 [01:03<00:01,  1.09s/it]\n100%|██████████| 60/60 [01:04<00:00,  1.09s/it]\n100%|██████████| 60/60 [01:04<00:00,  1.08s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:16,  1.14it/s]\n 10%|█         | 2/20 [00:01<00:15,  1.14it/s]\n 15%|█▌        | 3/20 [00:02<00:14,  1.14it/s]\n 20%|██        | 4/20 [00:03<00:14,  1.14it/s]\n 25%|██▌       | 5/20 [00:04<00:13,  1.14it/s]\n 30%|███       | 6/20 [00:05<00:12,  1.14it/s]\n 35%|███▌      | 7/20 [00:06<00:11,  1.14it/s]\n 40%|████      | 8/20 [00:07<00:10,  1.14it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.14it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.14it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.14it/s]\n 60%|██████    | 12/20 [00:10<00:07,  1.14it/s]\n 65%|██████▌   | 13/20 [00:11<00:06,  1.14it/s]\n 70%|███████   | 14/20 [00:12<00:05,  1.14it/s]\n 75%|███████▌  | 15/20 [00:13<00:04,  1.14it/s]\n 80%|████████  | 16/20 [00:14<00:03,  1.14it/s]\n 85%|████████▌ | 17/20 [00:14<00:02,  1.14it/s]\n 90%|█████████ | 18/20 [00:15<00:01,  1.14it/s]\n 95%|█████████▌| 19/20 [00:16<00:00,  1.14it/s]\n100%|██████████| 20/20 [00:17<00:00,  1.13it/s]\n100%|██████████| 20/20 [00:17<00:00,  1.14it/s]",
  "metrics": {
    "predict_time": 90.56987,
    "total_time": 161.838621
  },
  "output": [
    "https://pbxt.replicate.delivery/DGABbNilaFI5HZfS3U9kpsefnHwyWoayTIjfBTnkef8OPgf0IA/out-0.png",
    "https://pbxt.replicate.delivery/nCrfybqdx7SKJCebvCPapQJT2R0IeQLxvlfSBd2NqJQ2D4nGB/out-1.png",
    "https://pbxt.replicate.delivery/pEERFGEIsYpvP95To1qcE2gz8d5mA3fCXtTxIJs6tVkeAeTjA/out-2.png",
    "https://pbxt.replicate.delivery/HIrOyXs8xB4fe0bdB1C27NGgI75vO7wB5gSdWtjDheu9B8TjA/out-3.png"
  ],
  "started_at": "2023-10-02T02:41:40.241365Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6j6h4y3biss6tv246tc6xxqmce",
    "cancel": "https://api.replicate.com/v1/predictions/6j6h4y3biss6tv246tc6xxqmce/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 31 seconds

Tweak it ShareReport

Using seed: 58823
Prompt:  cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

epm7oqtbozmmt63csbgg3mjtaa

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 9s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 928,
  "height": 1232,
  "prompt": "Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 928,
      height: 1232,
      prompt: "Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 928,
        "height": 1232,
        "prompt": "Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-02T03:00:00.053738Z",
  "created_at": "2023-10-02T02:57:50.800612Z",
  "data_removed": false,
  "error": null,
  "id": "epm7oqtbozmmt63csbgg3mjtaa",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 928,
    "height": 1232,
    "prompt": "Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 51245\nPrompt: Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<00:59,  1.00s/it]\n  3%|▎         | 2/60 [00:02<00:58,  1.00s/it]\n  5%|▌         | 3/60 [00:03<00:57,  1.00s/it]\n  7%|▋         | 4/60 [00:04<00:56,  1.00s/it]\n  8%|▊         | 5/60 [00:05<00:55,  1.00s/it]\n 10%|█         | 6/60 [00:06<00:54,  1.00s/it]\n 12%|█▏        | 7/60 [00:07<00:53,  1.00s/it]\n 13%|█▎        | 8/60 [00:08<00:51,  1.00it/s]\n 15%|█▌        | 9/60 [00:09<00:50,  1.00it/s]\n 17%|█▋        | 10/60 [00:10<00:49,  1.00it/s]\n 18%|█▊        | 11/60 [00:11<00:48,  1.00it/s]\n 20%|██        | 12/60 [00:12<00:47,  1.00it/s]\n 22%|██▏       | 13/60 [00:13<00:47,  1.00s/it]\n 23%|██▎       | 14/60 [00:14<00:46,  1.00s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.00s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.00s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.00s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.00s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.00s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.00s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.00s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.00s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.00s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.01s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.01s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.01s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.01s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.01s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.01s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.01s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.01s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.01s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.01s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.01s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.01s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.01s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.01s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.01s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.01s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.01s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.01s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.01s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.01s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.01s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.01s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.01s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.01s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.01s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.01s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.01s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.22it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.22it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.22it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.22it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.22it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.22it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.22it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.22it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.22it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.22it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.22it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.22it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.22it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.22it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.22it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.22it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.22it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.22it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]",
  "metrics": {
    "predict_time": 84.593318,
    "total_time": 129.253126
  },
  "output": [
    "https://pbxt.replicate.delivery/DKSRx6eaMjTcUS56mMYEaxWrCdRShzvVv4FAeS9mevBbh8TjA/out-0.png",
    "https://pbxt.replicate.delivery/RAolJ4KfMNXoJCGNpZfiLJx4HNEfo3rwViFv0nAu6Jf4C5nGB/out-1.png",
    "https://pbxt.replicate.delivery/oHYG5fJk8MU1bywIVLHplE6QReJRcMF2qabjUwvJRuavQeTjA/out-2.png",
    "https://pbxt.replicate.delivery/LP4m1VA7GQp4HR1xleWW6F5Q2HNZcRjJOLvVlMU0fz0vQeTjA/out-3.png"
  ],
  "started_at": "2023-10-02T02:58:35.460420Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/epm7oqtbozmmt63csbgg3mjtaa",
    "cancel": "https://api.replicate.com/v1/predictions/epm7oqtbozmmt63csbgg3mjtaa/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

84.6 seconds

Tweak it ShareReport

Using seed: 51245
Prompt: Sick Boy from Trainspotting as cyberpunk taking a selfie in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

hiafb3dbeqchoufoj7npgeen6u

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

82.7s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 928,
  "height": 1232,
  "prompt": "cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 928,
      height: 1232,
      prompt: "cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 928,
        "height": 1232,
        "prompt": "cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-02T18:04:10.896530Z",
  "created_at": "2023-10-02T18:02:48.190047Z",
  "data_removed": false,
  "error": null,
  "id": "hiafb3dbeqchoufoj7npgeen6u",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcwEZtYc3pgjPjYIlvy7nnegfKXvdudEHFdBKAaToq4llZyc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 928,
    "height": 1232,
    "prompt": "cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 22013\nPrompt: cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:00<00:58,  1.01it/s]\n  3%|▎         | 2/60 [00:01<00:57,  1.01it/s]\n  5%|▌         | 3/60 [00:02<00:56,  1.01it/s]\n  7%|▋         | 4/60 [00:03<00:55,  1.01it/s]\n  8%|▊         | 5/60 [00:04<00:54,  1.01it/s]\n 10%|█         | 6/60 [00:05<00:53,  1.00it/s]\n 12%|█▏        | 7/60 [00:06<00:52,  1.00it/s]\n 13%|█▎        | 8/60 [00:07<00:51,  1.00it/s]\n 15%|█▌        | 9/60 [00:08<00:50,  1.01it/s]\n 17%|█▋        | 10/60 [00:09<00:49,  1.01it/s]\n 18%|█▊        | 11/60 [00:10<00:48,  1.01it/s]\n 20%|██        | 12/60 [00:11<00:47,  1.01it/s]\n 22%|██▏       | 13/60 [00:12<00:46,  1.00it/s]\n 23%|██▎       | 14/60 [00:13<00:45,  1.00it/s]\n 25%|██▌       | 15/60 [00:14<00:44,  1.00it/s]\n 27%|██▋       | 16/60 [00:15<00:43,  1.01it/s]\n 28%|██▊       | 17/60 [00:16<00:42,  1.01it/s]\n 30%|███       | 18/60 [00:17<00:41,  1.01it/s]\n 32%|███▏      | 19/60 [00:18<00:40,  1.01it/s]\n 33%|███▎      | 20/60 [00:19<00:39,  1.01it/s]\n 35%|███▌      | 21/60 [00:20<00:38,  1.01it/s]\n 37%|███▋      | 22/60 [00:21<00:37,  1.01it/s]\n 38%|███▊      | 23/60 [00:22<00:36,  1.00it/s]\n 40%|████      | 24/60 [00:23<00:35,  1.00it/s]\n 42%|████▏     | 25/60 [00:24<00:34,  1.00it/s]\n 43%|████▎     | 26/60 [00:25<00:33,  1.00it/s]\n 45%|████▌     | 27/60 [00:26<00:32,  1.00it/s]\n 47%|████▋     | 28/60 [00:27<00:31,  1.00it/s]\n 48%|████▊     | 29/60 [00:28<00:30,  1.00it/s]\n 50%|█████     | 30/60 [00:29<00:29,  1.00it/s]\n 52%|█████▏    | 31/60 [00:30<00:28,  1.00it/s]\n 53%|█████▎    | 32/60 [00:31<00:27,  1.00it/s]\n 55%|█████▌    | 33/60 [00:32<00:26,  1.00it/s]\n 57%|█████▋    | 34/60 [00:33<00:25,  1.00it/s]\n 58%|█████▊    | 35/60 [00:34<00:24,  1.00it/s]\n 60%|██████    | 36/60 [00:35<00:23,  1.00it/s]\n 62%|██████▏   | 37/60 [00:36<00:22,  1.00it/s]\n 63%|██████▎   | 38/60 [00:37<00:21,  1.00it/s]\n 65%|██████▌   | 39/60 [00:38<00:20,  1.00it/s]\n 67%|██████▋   | 40/60 [00:39<00:19,  1.00it/s]\n 68%|██████▊   | 41/60 [00:40<00:18,  1.00it/s]\n 70%|███████   | 42/60 [00:41<00:18,  1.00s/it]\n 72%|███████▏  | 43/60 [00:42<00:17,  1.00s/it]\n 73%|███████▎  | 44/60 [00:43<00:16,  1.00s/it]\n 75%|███████▌  | 45/60 [00:44<00:15,  1.00s/it]\n 77%|███████▋  | 46/60 [00:45<00:14,  1.00s/it]\n 78%|███████▊  | 47/60 [00:46<00:13,  1.00s/it]\n 80%|████████  | 48/60 [00:47<00:12,  1.00s/it]\n 82%|████████▏ | 49/60 [00:48<00:11,  1.00s/it]\n 83%|████████▎ | 50/60 [00:49<00:10,  1.00s/it]\n 85%|████████▌ | 51/60 [00:50<00:09,  1.00s/it]\n 87%|████████▋ | 52/60 [00:51<00:08,  1.00s/it]\n 88%|████████▊ | 53/60 [00:52<00:07,  1.00s/it]\n 90%|█████████ | 54/60 [00:53<00:06,  1.00s/it]\n 92%|█████████▏| 55/60 [00:54<00:05,  1.00s/it]\n 93%|█████████▎| 56/60 [00:55<00:04,  1.00s/it]\n 95%|█████████▌| 57/60 [00:56<00:03,  1.00s/it]\n 97%|█████████▋| 58/60 [00:57<00:02,  1.00s/it]\n 98%|█████████▊| 59/60 [00:58<00:01,  1.00s/it]\n100%|██████████| 60/60 [00:59<00:00,  1.00s/it]\n100%|██████████| 60/60 [00:59<00:00,  1.00it/s]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.24it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.24it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.23it/s]\n 20%|██        | 4/20 [00:03<00:12,  1.23it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.23it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.23it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.23it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.23it/s]\n 45%|████▌     | 9/20 [00:07<00:08,  1.23it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.23it/s]\n 55%|█████▌    | 11/20 [00:08<00:07,  1.23it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.23it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.23it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.23it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.23it/s]\n 80%|████████  | 16/20 [00:12<00:03,  1.23it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.23it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.23it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.23it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.23it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.23it/s]",
  "metrics": {
    "predict_time": 82.702469,
    "total_time": 82.706483
  },
  "output": [
    "https://pbxt.replicate.delivery/oLo0NmbVWUYZNBVLFLVR1kUj7pIhcuE6QsWpCC3DhoIG4iaE/out-0.png",
    "https://pbxt.replicate.delivery/RXN2CFpKTC4IM5zZm31lRukyDl60W43xwpkbuoaln4SG4iaE/out-1.png",
    "https://pbxt.replicate.delivery/shEPxFEcCqqlDRfehfOIVsyS8Nn9UhJ1YpID6DlWtNY1AXUjA/out-2.png",
    "https://pbxt.replicate.delivery/2A4eLwGEcazOESmmGqWGGe7SzKXnZRRPJaLkblf2ej1qBuoGB/out-3.png"
  ],
  "started_at": "2023-10-02T18:02:48.194061Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/hiafb3dbeqchoufoj7npgeen6u",
    "cancel": "https://api.replicate.com/v1/predictions/hiafb3dbeqchoufoj7npgeen6u/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

82.7 seconds

Tweak it ShareReport

Using seed: 22013
Prompt: cracks in the porcelain skin with neon light leaks punk anime girl who looks like Amber Midthunder and Mary Elizabeth Winstead shedding her cracking porcelain skin, pieces missing, both eyes looking forward, skin finished with a blue translucent coating on black, photorealistic, 3D model in a divebar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

53vdusdbfb4xstmxbpmmlfjrgu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 37s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdIMJ1FunArvg0lLhFbikzhNaxjxrTjv00yjCCvUZYCk7TY9/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdIMJ1FunArvg0lLhFbikzhNaxjxrTjv00yjCCvUZYCk7TY9/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdIMJ1FunArvg0lLhFbikzhNaxjxrTjv00yjCCvUZYCk7TY9/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIMJ1FunArvg0lLhFbikzhNaxjxrTjv00yjCCvUZYCk7TY9/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdIMJ1FunArvg0lLhFbikzhNaxjxrTjv00yjCCvUZYCk7TY9/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIMJ1FunArvg0lLhFbikzhNaxjxrTjv00yjCCvUZYCk7TY9/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:07:09.136213Z",
  "created_at": "2023-10-03T03:05:32.174187Z",
  "data_removed": false,
  "error": null,
  "id": "53vdusdbfb4xstmxbpmmlfjrgu",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdIMJ1FunArvg0lLhFbikzhNaxjxrTjv00yjCCvUZYCk7TY9/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 35988\nPrompt: Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.17s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.17s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.17s/it]\n  8%|▊         | 5/60 [00:05<01:04,  1.17s/it]\n 10%|█         | 6/60 [00:07<01:03,  1.17s/it]\n 12%|█▏        | 7/60 [00:08<01:02,  1.17s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.17s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.17s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.17s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.17s/it]\n 20%|██        | 12/60 [00:14<00:56,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:54,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:21<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:48,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.18s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.18s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.18s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.18s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.18s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.18s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.18s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.18s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.18s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.18s/it]\n 58%|█████▊    | 35/60 [00:41<00:29,  1.18s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.18s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.18s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.18s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.18s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.18s/it]\n 68%|██████▊   | 41/60 [00:48<00:22,  1.18s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.18s/it]\n 72%|███████▏  | 43/60 [00:50<00:20,  1.18s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:54<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:01<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.19s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:07<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.04it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.04it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.04it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.04it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.04it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.03it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.04it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 96.949511,
    "total_time": 96.962026
  },
  "output": [
    "https://pbxt.replicate.delivery/fSefVOiofwxeeM5ugqea1yRgooouDvOROXT7BDIIF47eadTqRA/out-0.png",
    "https://pbxt.replicate.delivery/xBPf1oD4Q727KCSL1iFdxldgxULiY718U9boLIghSA6tuJ1IA/out-1.png",
    "https://pbxt.replicate.delivery/Fy3MIgAlWvbBJJGh0YVJZpofcJSILFEKmu54zEx0xFLuuJ1IA/out-2.png",
    "https://pbxt.replicate.delivery/uwfTWRSasoXsGiOVAKfQ8SeoSp0VfmYtrVPXitdY47yz1NpGB/out-3.png"
  ],
  "started_at": "2023-10-03T03:05:32.186702Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/53vdusdbfb4xstmxbpmmlfjrgu",
    "cancel": "https://api.replicate.com/v1/predictions/53vdusdbfb4xstmxbpmmlfjrgu/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 37 seconds

Tweak it ShareReport

Using seed: 35988
Prompt: Punk anime girl with pink hair in a dive bar bathroom covered with graffiti, Blade Runner and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

3kv72d3bx56pc263ut42vmwm7y

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 37s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdIZdeO5ZivCM1PugyYZaxzAdvEWFCJzJdRV9BOuEEXrc0Kl/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdIZdeO5ZivCM1PugyYZaxzAdvEWFCJzJdRV9BOuEEXrc0Kl/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdIZdeO5ZivCM1PugyYZaxzAdvEWFCJzJdRV9BOuEEXrc0Kl/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIZdeO5ZivCM1PugyYZaxzAdvEWFCJzJdRV9BOuEEXrc0Kl/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdIZdeO5ZivCM1PugyYZaxzAdvEWFCJzJdRV9BOuEEXrc0Kl/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIZdeO5ZivCM1PugyYZaxzAdvEWFCJzJdRV9BOuEEXrc0Kl/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:21:12.772063Z",
  "created_at": "2023-10-03T03:19:36.124852Z",
  "data_removed": false,
  "error": null,
  "id": "3kv72d3bx56pc263ut42vmwm7y",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdIZdeO5ZivCM1PugyYZaxzAdvEWFCJzJdRV9BOuEEXrc0Kl/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 52744\nPrompt: Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.16s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.16s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.17s/it]\n  8%|▊         | 5/60 [00:05<01:04,  1.17s/it]\n 10%|█         | 6/60 [00:07<01:03,  1.17s/it]\n 12%|█▏        | 7/60 [00:08<01:02,  1.17s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.17s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.17s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.17s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.17s/it]\n 20%|██        | 12/60 [00:14<00:56,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:55,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:21<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:48,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.17s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.17s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.17s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.17s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.17s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.17s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.17s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.17s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.17s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.17s/it]\n 58%|█████▊    | 35/60 [00:41<00:29,  1.17s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.17s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.17s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.17s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.17s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.17s/it]\n 68%|██████▊   | 41/60 [00:48<00:22,  1.17s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.17s/it]\n 72%|███████▏  | 43/60 [00:50<00:19,  1.17s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:53<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:01<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.18s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:06<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.17s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.04it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.04it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.04it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.04it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.04it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.04it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.04it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 96.676504,
    "total_time": 96.647211
  },
  "output": [
    "https://pbxt.replicate.delivery/ZOJEAuvFHeyKdSP7DhAQuNl53SqWWaY1F3WYYbS4yf4mqTqRA/out-0.png",
    "https://pbxt.replicate.delivery/fc0OMUC4pbTxQigMdeQkhrCYzj9r5MUei2qlDWpWwLLOVnUjA/out-1.png",
    "https://pbxt.replicate.delivery/jt2GSD3WblbfMykdeUinnnJRvaPPlo74eltaBtE32f1cqOpGB/out-2.png",
    "https://pbxt.replicate.delivery/BzKdF01SDQqjBxW2nviI68eAK5BB311Nl2ko1LGqLOGU1J1IA/out-3.png"
  ],
  "started_at": "2023-10-03T03:19:36.095559Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3kv72d3bx56pc263ut42vmwm7y",
    "cancel": "https://api.replicate.com/v1/predictions/3kv72d3bx56pc263ut42vmwm7y/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 37 seconds

Tweak it ShareReport

Using seed: 52744
Prompt: Claire Silver with pink hair in a cyberpunk dive bar bathroom covered with graffiti, cyberpunk style of Blade Runner and Trainspotting
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

6fnkzqtbautpkmwwtevv2r6ure

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 37s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdImgLeniHTD8yJFasAF1XZTQCzJikVW8isFHVmeviVO5RwX/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdImgLeniHTD8yJFasAF1XZTQCzJikVW8isFHVmeviVO5RwX/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdImgLeniHTD8yJFasAF1XZTQCzJikVW8isFHVmeviVO5RwX/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdImgLeniHTD8yJFasAF1XZTQCzJikVW8isFHVmeviVO5RwX/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdImgLeniHTD8yJFasAF1XZTQCzJikVW8isFHVmeviVO5RwX/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdImgLeniHTD8yJFasAF1XZTQCzJikVW8isFHVmeviVO5RwX/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:34:58.889286Z",
  "created_at": "2023-10-03T03:33:21.929693Z",
  "data_removed": false,
  "error": null,
  "id": "6fnkzqtbautpkmwwtevv2r6ure",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdImgLeniHTD8yJFasAF1XZTQCzJikVW8isFHVmeviVO5RwX/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 45036\nPrompt: Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.16s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.16s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.16s/it]\n  8%|▊         | 5/60 [00:05<01:03,  1.16s/it]\n 10%|█         | 6/60 [00:06<01:02,  1.16s/it]\n 12%|█▏        | 7/60 [00:08<01:01,  1.16s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.16s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.16s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.16s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.16s/it]\n 20%|██        | 12/60 [00:13<00:55,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:54,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:20<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:48,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.17s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.17s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.17s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.17s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.17s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.17s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.17s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.17s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.17s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.17s/it]\n 58%|█████▊    | 35/60 [00:40<00:29,  1.17s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.17s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.17s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.17s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.17s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.17s/it]\n 68%|██████▊   | 41/60 [00:47<00:22,  1.17s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.18s/it]\n 72%|███████▏  | 43/60 [00:50<00:19,  1.17s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:53<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:00<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.18s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:06<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.17s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.04it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.04it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.04it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.04it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.04it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.04it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.04it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 96.950481,
    "total_time": 96.959593
  },
  "output": [
    "https://pbxt.replicate.delivery/ABGZFpc1AopKKlyMym26BY1D4mZGExL29HIwDVZ89N339kaE/out-0.png",
    "https://pbxt.replicate.delivery/hxCBIzakr2b5KxfTwu6APcHplFcIygU2ZiHmHGp7OQyw7J1IA/out-1.png",
    "https://pbxt.replicate.delivery/c8VLlivyuKYAPNq63uz2fbAcC2UPvlK7LHL9MSraqb0w7J1IA/out-2.png",
    "https://pbxt.replicate.delivery/viaBN3KAzQ7VOJIE82xdRGoUeFNTgd7L3qeDvRE9MzBi3TqRA/out-3.png"
  ],
  "started_at": "2023-10-03T03:33:21.938805Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6fnkzqtbautpkmwwtevv2r6ure",
    "cancel": "https://api.replicate.com/v1/predictions/6fnkzqtbautpkmwwtevv2r6ure/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 37 seconds

Tweak it ShareReport

Using seed: 45036
Prompt: Cyberpunk in a dive bar bathroom covered with graffiti that says Claire Silver! happy birthday, Claire Silver! in the style of Blade Runner and Trainspotting
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

qkm3nsdb7ysw2io33rzm6naoju

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 37s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdJ5ZR77xlX4y2oNTbWaTb8kLovrfx2jjBZtoXgovMkRlZqI/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdJ5ZR77xlX4y2oNTbWaTb8kLovrfx2jjBZtoXgovMkRlZqI/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdJ5ZR77xlX4y2oNTbWaTb8kLovrfx2jjBZtoXgovMkRlZqI/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdJ5ZR77xlX4y2oNTbWaTb8kLovrfx2jjBZtoXgovMkRlZqI/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdJ5ZR77xlX4y2oNTbWaTb8kLovrfx2jjBZtoXgovMkRlZqI/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdJ5ZR77xlX4y2oNTbWaTb8kLovrfx2jjBZtoXgovMkRlZqI/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T03:54:54.451099Z",
  "created_at": "2023-10-03T03:53:17.650069Z",
  "data_removed": false,
  "error": null,
  "id": "qkm3nsdb7ysw2io33rzm6naoju",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdJ5ZR77xlX4y2oNTbWaTb8kLovrfx2jjBZtoXgovMkRlZqI/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 65220\nPrompt: Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:08,  1.16s/it]\n  3%|▎         | 2/60 [00:02<01:07,  1.17s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.17s/it]\n  8%|▊         | 5/60 [00:05<01:04,  1.17s/it]\n 10%|█         | 6/60 [00:06<01:02,  1.16s/it]\n 12%|█▏        | 7/60 [00:08<01:01,  1.16s/it]\n 13%|█▎        | 8/60 [00:09<01:00,  1.16s/it]\n 15%|█▌        | 9/60 [00:10<00:59,  1.16s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.17s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.16s/it]\n 20%|██        | 12/60 [00:13<00:55,  1.17s/it]\n 22%|██▏       | 13/60 [00:15<00:54,  1.17s/it]\n 23%|██▎       | 14/60 [00:16<00:53,  1.17s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.17s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.17s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.17s/it]\n 30%|███       | 18/60 [00:20<00:49,  1.17s/it]\n 32%|███▏      | 19/60 [00:22<00:47,  1.17s/it]\n 33%|███▎      | 20/60 [00:23<00:46,  1.17s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.17s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.17s/it]\n 38%|███▊      | 23/60 [00:26<00:43,  1.17s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.17s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.17s/it]\n 43%|████▎     | 26/60 [00:30<00:39,  1.17s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.17s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.17s/it]\n 48%|████▊     | 29/60 [00:33<00:36,  1.17s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.18s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.18s/it]\n 53%|█████▎    | 32/60 [00:37<00:32,  1.17s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.17s/it]\n 57%|█████▋    | 34/60 [00:39<00:30,  1.17s/it]\n 58%|█████▊    | 35/60 [00:40<00:29,  1.17s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.17s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.17s/it]\n 63%|██████▎   | 38/60 [00:44<00:25,  1.17s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.17s/it]\n 67%|██████▋   | 40/60 [00:46<00:23,  1.17s/it]\n 68%|██████▊   | 41/60 [00:47<00:22,  1.18s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.18s/it]\n 72%|███████▏  | 43/60 [00:50<00:19,  1.18s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:52<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:53<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.18s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.18s/it]\n 82%|████████▏ | 49/60 [00:57<00:12,  1.18s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.18s/it]\n 85%|████████▌ | 51/60 [00:59<00:10,  1.18s/it]\n 87%|████████▋ | 52/60 [01:00<00:09,  1.18s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.18s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.18s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.18s/it]\n 93%|█████████▎| 56/60 [01:05<00:04,  1.18s/it]\n 95%|█████████▌| 57/60 [01:06<00:03,  1.18s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.18s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.17s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.04it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.04it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.04it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.04it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.04it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.04it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.04it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.04it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.04it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.04it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.04it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.04it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.04it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.04it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.03it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.03it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.03it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.03it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.04it/s]",
  "metrics": {
    "predict_time": 96.840682,
    "total_time": 96.80103
  },
  "output": [
    "https://pbxt.replicate.delivery/mhUJvP2m5V7vKZJIafav5fXKChCfQkdbYSCET0MVtjzWUoUjA/out-0.png",
    "https://pbxt.replicate.delivery/YEFfA7DqtLQWDS1rossFgz7eZ6F8HwhFTju36gyKrXqMKUqRA/out-1.png",
    "https://pbxt.replicate.delivery/22OQ9ZfKOL0hf03s4qDQfT61f4aHYqQISe7kNF1r8OfYjClaE/out-2.png",
    "https://pbxt.replicate.delivery/P3FPCXD37Aa4J9juXH7exg0IRtANw3hJPuBeCgZGuptOKUqRA/out-3.png"
  ],
  "started_at": "2023-10-03T03:53:17.610417Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qkm3nsdb7ysw2io33rzm6naoju",
    "cancel": "https://api.replicate.com/v1/predictions/qkm3nsdb7ysw2io33rzm6naoju/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 37 seconds

Tweak it ShareReport

Using seed: 65220
Prompt: Happy Birthday Claire Silver! Girl with pink hair In a dive bar bathroom covered in graffiti, in style of Blade Runner and Trainspotting
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

tjnvka3bqdsibjympjxasffp5q

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 41s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
  "width": 896,
  "height": 1344,
  "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      width: 896,
      height: 1344,
      prompt: "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
        "width": 896,
        "height": 1344,
        "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
      "width": 896,
      "height": 1344,
      "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-03T18:34:29.139924Z",
  "created_at": "2023-10-03T18:31:48.450309Z",
  "data_removed": false,
  "error": null,
  "id": "tjnvka3bqdsibjympjxasffp5q",
  "input": {
    "image": "https://replicate.delivery/pbxt/JdIhALlAjFRGUtoTJaxxlOw7UoX9WKUW2Sz0tBcdhLomQNMt/marcaaron_punk_anime_girl_who_looks_like_Amber_Midthunder_and_M_77dd3386-4d3e-45ce-9786-d0a0aa21527e.png",
    "width": 896,
    "height": 1344,
    "prompt": "Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 31203\nPrompt: Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:09,  1.17s/it]\n  3%|▎         | 2/60 [00:02<01:08,  1.17s/it]\n  5%|▌         | 3/60 [00:03<01:06,  1.17s/it]\n  7%|▋         | 4/60 [00:04<01:05,  1.17s/it]\n  8%|▊         | 5/60 [00:05<01:04,  1.17s/it]\n 10%|█         | 6/60 [00:07<01:03,  1.17s/it]\n 12%|█▏        | 7/60 [00:08<01:02,  1.18s/it]\n 13%|█▎        | 8/60 [00:09<01:01,  1.18s/it]\n 15%|█▌        | 9/60 [00:10<01:00,  1.18s/it]\n 17%|█▋        | 10/60 [00:11<00:58,  1.18s/it]\n 18%|█▊        | 11/60 [00:12<00:57,  1.18s/it]\n 20%|██        | 12/60 [00:14<00:56,  1.18s/it]\n 22%|██▏       | 13/60 [00:15<00:55,  1.18s/it]\n 23%|██▎       | 14/60 [00:16<00:54,  1.18s/it]\n 25%|██▌       | 15/60 [00:17<00:52,  1.18s/it]\n 27%|██▋       | 16/60 [00:18<00:51,  1.18s/it]\n 28%|██▊       | 17/60 [00:19<00:50,  1.18s/it]\n 30%|███       | 18/60 [00:21<00:49,  1.18s/it]\n 32%|███▏      | 19/60 [00:22<00:48,  1.18s/it]\n 33%|███▎      | 20/60 [00:23<00:47,  1.18s/it]\n 35%|███▌      | 21/60 [00:24<00:45,  1.18s/it]\n 37%|███▋      | 22/60 [00:25<00:44,  1.18s/it]\n 38%|███▊      | 23/60 [00:27<00:43,  1.18s/it]\n 40%|████      | 24/60 [00:28<00:42,  1.18s/it]\n 42%|████▏     | 25/60 [00:29<00:41,  1.18s/it]\n 43%|████▎     | 26/60 [00:30<00:40,  1.18s/it]\n 45%|████▌     | 27/60 [00:31<00:38,  1.18s/it]\n 47%|████▋     | 28/60 [00:32<00:37,  1.18s/it]\n 48%|████▊     | 29/60 [00:34<00:36,  1.18s/it]\n 50%|█████     | 30/60 [00:35<00:35,  1.18s/it]\n 52%|█████▏    | 31/60 [00:36<00:34,  1.18s/it]\n 53%|█████▎    | 32/60 [00:37<00:33,  1.18s/it]\n 55%|█████▌    | 33/60 [00:38<00:31,  1.18s/it]\n 57%|█████▋    | 34/60 [00:40<00:30,  1.18s/it]\n 58%|█████▊    | 35/60 [00:41<00:29,  1.18s/it]\n 60%|██████    | 36/60 [00:42<00:28,  1.18s/it]\n 62%|██████▏   | 37/60 [00:43<00:27,  1.18s/it]\n 63%|██████▎   | 38/60 [00:44<00:26,  1.18s/it]\n 65%|██████▌   | 39/60 [00:45<00:24,  1.18s/it]\n 67%|██████▋   | 40/60 [00:47<00:23,  1.18s/it]\n 68%|██████▊   | 41/60 [00:48<00:22,  1.18s/it]\n 70%|███████   | 42/60 [00:49<00:21,  1.18s/it]\n 72%|███████▏  | 43/60 [00:50<00:20,  1.18s/it]\n 73%|███████▎  | 44/60 [00:51<00:18,  1.18s/it]\n 75%|███████▌  | 45/60 [00:53<00:17,  1.18s/it]\n 77%|███████▋  | 46/60 [00:54<00:16,  1.18s/it]\n 78%|███████▊  | 47/60 [00:55<00:15,  1.19s/it]\n 80%|████████  | 48/60 [00:56<00:14,  1.19s/it]\n 82%|████████▏ | 49/60 [00:57<00:13,  1.19s/it]\n 83%|████████▎ | 50/60 [00:58<00:11,  1.19s/it]\n 85%|████████▌ | 51/60 [01:00<00:10,  1.19s/it]\n 87%|████████▋ | 52/60 [01:01<00:09,  1.19s/it]\n 88%|████████▊ | 53/60 [01:02<00:08,  1.19s/it]\n 90%|█████████ | 54/60 [01:03<00:07,  1.19s/it]\n 92%|█████████▏| 55/60 [01:04<00:05,  1.19s/it]\n 93%|█████████▎| 56/60 [01:06<00:04,  1.19s/it]\n 95%|█████████▌| 57/60 [01:07<00:03,  1.19s/it]\n 97%|█████████▋| 58/60 [01:08<00:02,  1.19s/it]\n 98%|█████████▊| 59/60 [01:09<00:01,  1.19s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.19s/it]\n100%|██████████| 60/60 [01:10<00:00,  1.18s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:18,  1.02it/s]\n 10%|█         | 2/20 [00:01<00:17,  1.03it/s]\n 15%|█▌        | 3/20 [00:02<00:16,  1.03it/s]\n 20%|██        | 4/20 [00:03<00:15,  1.03it/s]\n 25%|██▌       | 5/20 [00:04<00:14,  1.03it/s]\n 30%|███       | 6/20 [00:05<00:13,  1.03it/s]\n 35%|███▌      | 7/20 [00:06<00:12,  1.03it/s]\n 40%|████      | 8/20 [00:07<00:11,  1.03it/s]\n 45%|████▌     | 9/20 [00:08<00:10,  1.03it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.03it/s]\n 55%|█████▌    | 11/20 [00:10<00:08,  1.03it/s]\n 60%|██████    | 12/20 [00:11<00:07,  1.03it/s]\n 65%|██████▌   | 13/20 [00:12<00:06,  1.03it/s]\n 70%|███████   | 14/20 [00:13<00:05,  1.03it/s]\n 75%|███████▌  | 15/20 [00:14<00:04,  1.03it/s]\n 80%|████████  | 16/20 [00:15<00:03,  1.03it/s]\n 85%|████████▌ | 17/20 [00:16<00:02,  1.03it/s]\n 90%|█████████ | 18/20 [00:17<00:01,  1.03it/s]\n 95%|█████████▌| 19/20 [00:18<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.03it/s]\n100%|██████████| 20/20 [00:19<00:00,  1.03it/s]",
  "metrics": {
    "predict_time": 102.870812,
    "total_time": 160.689615
  },
  "output": [
    "https://pbxt.replicate.delivery/SnroN7f3I2xfepfHHJx1DJAdZbvilQLImJpAWpyJ7CWKLEqGB/out-0.png",
    "https://pbxt.replicate.delivery/fjN8c3wtzV3jAazniJIXbwds6VKAYJXS7H78MXM0QRmZhQ1IA/out-1.png",
    "https://pbxt.replicate.delivery/YRKTjiBkmObbA98fX0xZd6KA2oHVd7ODJinVUv3os5JahQ1IA/out-2.png",
    "https://pbxt.replicate.delivery/jhhXG0EJQw5BLJwTMNTKJrEnwAr31nyPdqtDPgyeIIIahQ1IA/out-3.png"
  ],
  "started_at": "2023-10-03T18:32:46.269112Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/tjnvka3bqdsibjympjxasffp5q",
    "cancel": "https://api.replicate.com/v1/predictions/tjnvka3bqdsibjympjxasffp5q/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 43 seconds

Tweak it ShareReport

Using seed: 31203
Prompt: Cyberpunk with pink hair taking a selfie in a dive bar bathroom covered with graffiti that says Happy Birthday! Claire Silver!
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

3dy477dbyhslpikzqo4e5cfyrq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 14s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JeY65QShkqvsliAMLnZ3Iwoc8ngoohzKQHB4VWonoqZM26Md/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
  "width": 928,
  "height": 1232,
  "prompt": "Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JeY65QShkqvsliAMLnZ3Iwoc8ngoohzKQHB4VWonoqZM26Md/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      width: 928,
      height: 1232,
      prompt: "Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JeY65QShkqvsliAMLnZ3Iwoc8ngoohzKQHB4VWonoqZM26Md/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
        "width": 928,
        "height": 1232,
        "prompt": "Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JeY65QShkqvsliAMLnZ3Iwoc8ngoohzKQHB4VWonoqZM26Md/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      "width": 928,
      "height": 1232,
      "prompt": "Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JeY65QShkqvsliAMLnZ3Iwoc8ngoohzKQHB4VWonoqZM26Md/_b602cb61-1eff-400f-9469-1889f131e474.jpeg"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JeY65QShkqvsliAMLnZ3Iwoc8ngoohzKQHB4VWonoqZM26Md/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      "width": 928,
      "height": 1232,
      "prompt": "Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-06T15:54:23.138382Z",
  "created_at": "2023-10-06T15:52:08.689436Z",
  "data_removed": false,
  "error": null,
  "id": "3dy477dbyhslpikzqo4e5cfyrq",
  "input": {
    "image": "https://replicate.delivery/pbxt/JeY65QShkqvsliAMLnZ3Iwoc8ngoohzKQHB4VWonoqZM26Md/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
    "width": 928,
    "height": 1232,
    "prompt": "Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 20656\nPrompt: Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<00:59,  1.00s/it]\n  3%|▎         | 2/60 [00:02<00:58,  1.00s/it]\n  5%|▌         | 3/60 [00:03<00:57,  1.00s/it]\n  7%|▋         | 4/60 [00:04<00:56,  1.00s/it]\n  8%|▊         | 5/60 [00:05<00:55,  1.01s/it]\n 10%|█         | 6/60 [00:06<00:54,  1.01s/it]\n 12%|█▏        | 7/60 [00:07<00:53,  1.01s/it]\n 13%|█▎        | 8/60 [00:08<00:52,  1.00s/it]\n 15%|█▌        | 9/60 [00:09<00:51,  1.00s/it]\n 17%|█▋        | 10/60 [00:10<00:50,  1.00s/it]\n 18%|█▊        | 11/60 [00:11<00:49,  1.00s/it]\n 20%|██        | 12/60 [00:12<00:48,  1.01s/it]\n 22%|██▏       | 13/60 [00:13<00:47,  1.01s/it]\n 23%|██▎       | 14/60 [00:14<00:46,  1.01s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.00s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.01s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.00s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.00s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.01s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.01s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.01s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.01s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.01s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.01s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.01s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.01s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.01s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.01s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.01s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.01s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.01s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.01s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.01s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.01s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.01s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.01s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.01s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.01s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.01s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.01s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.01s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.01s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.01s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.01s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.01s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.01s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.01s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.01s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.01s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.01s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.22it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.22it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.22it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.22it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.22it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.22it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.22it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.22it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.22it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.22it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.22it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.22it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.22it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.22it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.22it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.22it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.22it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.22it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]",
  "metrics": {
    "predict_time": 85.228188,
    "total_time": 134.448946
  },
  "output": [
    "https://pbxt.replicate.delivery/3jjvFgvr4GpJOtcUhspZJrTxff0egZLzDmbYriiBl9ZW97WjA/out-0.png",
    "https://pbxt.replicate.delivery/TeE4iMcKedjZDEekPn0vQrCspzqrHs88xpVgcMfHz35163tGB/out-1.png",
    "https://pbxt.replicate.delivery/I7lCeNPOg0VaAKx28bbtEJ6URMMbA8uiobKOanlEAtCXfdrRA/out-2.png",
    "https://pbxt.replicate.delivery/btK72qfs7DU2PqySPyDOSuk6bS9iLPSB5oHWhcK78yRXfdrRA/out-3.png"
  ],
  "started_at": "2023-10-06T15:52:57.910194Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3dy477dbyhslpikzqo4e5cfyrq",
    "cancel": "https://api.replicate.com/v1/predictions/3dy477dbyhslpikzqo4e5cfyrq/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

85.2 seconds

Tweak it ShareReport

Using seed: 20656
Prompt: Asian girls with pink and green hair emerging from inside their Cracked and crumbling porcelain skin finished with a blue translucent coating on black, glowing green magenta neon light coming leaks from the cracks in their skin, pieces missing, in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

nvhhtzdbwtpg36v4kbwbi7jmtu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

83.9s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
  "width": 928,
  "height": 1232,
  "prompt": "in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      width: 928,
      height: 1232,
      prompt: "in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
        "width": 928,
        "height": 1232,
        "prompt": "in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      "width": 928,
      "height": 1232,
      "prompt": "in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      "width": 928,
      "height": 1232,
      "prompt": "in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-06T15:59:46.850620Z",
  "created_at": "2023-10-06T15:58:22.993929Z",
  "data_removed": false,
  "error": null,
  "id": "nvhhtzdbwtpg36v4kbwbi7jmtu",
  "input": {
    "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
    "width": 928,
    "height": 1232,
    "prompt": "in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 43225\nPrompt: in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<00:59,  1.00s/it]\n  3%|▎         | 2/60 [00:02<00:58,  1.00s/it]\n  5%|▌         | 3/60 [00:03<00:57,  1.00s/it]\n  7%|▋         | 4/60 [00:04<00:56,  1.00s/it]\n  8%|▊         | 5/60 [00:05<00:55,  1.00s/it]\n 10%|█         | 6/60 [00:06<00:54,  1.00s/it]\n 12%|█▏        | 7/60 [00:07<00:53,  1.01s/it]\n 13%|█▎        | 8/60 [00:08<00:52,  1.00s/it]\n 15%|█▌        | 9/60 [00:09<00:51,  1.00s/it]\n 17%|█▋        | 10/60 [00:10<00:50,  1.00s/it]\n 18%|█▊        | 11/60 [00:11<00:49,  1.00s/it]\n 20%|██        | 12/60 [00:12<00:48,  1.00s/it]\n 22%|██▏       | 13/60 [00:13<00:47,  1.00s/it]\n 23%|██▎       | 14/60 [00:14<00:46,  1.00s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.00s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.00s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.00s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.00s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.01s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.01s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.01s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.01s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.01s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.01s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.01s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.01s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.01s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.01s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.01s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.01s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.01s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.01s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.01s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.01s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.01s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.01s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.01s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.01s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.01s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.01s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.01s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.01s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.01s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.01s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.01s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.01s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.01s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.01s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.01s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.01s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.23it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.22it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.22it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.22it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.22it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.22it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.22it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.22it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.22it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.22it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.22it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.22it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.22it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.22it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.22it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.22it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.22it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.22it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]",
  "metrics": {
    "predict_time": 83.876399,
    "total_time": 83.856691
  },
  "output": [
    "https://pbxt.replicate.delivery/N3qlUDFgxU6RK182Z1K63KxddPteiEOXPr5f3PRpezFfO4tGB/out-0.png",
    "https://pbxt.replicate.delivery/KzGYS6S8YEqGGJKxNYQ29fnTrf8cv6KnADtrLZ22N0LxDeWjA/out-1.png",
    "https://pbxt.replicate.delivery/BOTSgFKye63DIqbWHPpjz0kcbdSc5ANqH6Q4WrPnkGr4Bv1IA/out-2.png",
    "https://pbxt.replicate.delivery/71cEnKIeRfrcfJShtgQHgifiUGUW1hoL3Ph2JSO28mNIP4tGB/out-3.png"
  ],
  "started_at": "2023-10-06T15:58:22.974221Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nvhhtzdbwtpg36v4kbwbi7jmtu",
    "cancel": "https://api.replicate.com/v1/predictions/nvhhtzdbwtpg36v4kbwbi7jmtu/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

83.9 seconds

Tweak it ShareReport

Using seed: 43225
Prompt: in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

wuydsydbrajpzwr3xkydwn4hpu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
  "width": 928,
  "height": 1232,
  "prompt": "Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      width: 928,
      height: 1232,
      prompt: "Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
        "width": 928,
        "height": 1232,
        "prompt": "Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      "width": 928,
      "height": 1232,
      "prompt": "Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
      "width": 928,
      "height": 1232,
      "prompt": "Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-06T23:48:11.173147Z",
  "created_at": "2023-10-06T23:45:09.516397Z",
  "data_removed": false,
  "error": null,
  "id": "wuydsydbrajpzwr3xkydwn4hpu",
  "input": {
    "image": "https://replicate.delivery/pbxt/JeYBz6bhxLQNSjhFfX58wiwdcjuFTyrcnklP8Ibm89t3goOi/_b602cb61-1eff-400f-9469-1889f131e474.jpeg",
    "width": 928,
    "height": 1232,
    "prompt": "Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 15152\nPrompt: Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<00:59,  1.00s/it]\n  3%|▎         | 2/60 [00:02<00:58,  1.00s/it]\n  5%|▌         | 3/60 [00:03<00:57,  1.00s/it]\n  7%|▋         | 4/60 [00:04<00:56,  1.00s/it]\n  8%|▊         | 5/60 [00:05<00:54,  1.00it/s]\n 10%|█         | 6/60 [00:06<00:53,  1.00it/s]\n 12%|█▏        | 7/60 [00:07<00:52,  1.00it/s]\n 13%|█▎        | 8/60 [00:08<00:51,  1.00it/s]\n 15%|█▌        | 9/60 [00:09<00:50,  1.00it/s]\n 17%|█▋        | 10/60 [00:10<00:49,  1.00it/s]\n 18%|█▊        | 11/60 [00:11<00:48,  1.00it/s]\n 20%|██        | 12/60 [00:12<00:48,  1.00s/it]\n 22%|██▏       | 13/60 [00:13<00:47,  1.00s/it]\n 23%|██▎       | 14/60 [00:14<00:46,  1.00s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.00s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.00s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.00s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.00s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.00s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.01s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.01s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.01s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.01s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.01s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.01s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.01s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.01s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.01s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.01s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.01s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.01s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.01s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.01s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.01s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.01s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.01s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.01s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.01s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.01s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.01s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.01s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.01s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.01s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.01s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.01s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.01s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.01s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.01s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.01s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.01s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.02s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.21it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.21it/s]\n 15%|█▌        | 3/20 [00:02<00:14,  1.21it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.21it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.21it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.21it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.21it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.21it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.21it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.21it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.21it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.21it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.21it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.21it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.21it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.21it/s]\n 85%|████████▌ | 17/20 [00:14<00:02,  1.21it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.21it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.21it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.21it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.21it/s]",
  "metrics": {
    "predict_time": 84.832227,
    "total_time": 181.65675
  },
  "output": [
    "https://pbxt.replicate.delivery/v0TqlJK15IomO97k1kZ0p2TH123jLYhD2QKbLxNdSuHuO5aE/out-0.png",
    "https://pbxt.replicate.delivery/wDZY3B2PCVotFZuxWNWBz1V5QIv244t9sPt022OSdEQuO5aE/out-1.png",
    "https://pbxt.replicate.delivery/SpUBsIrCGM7oC5ai0DYHeTecVfYh9wvxR8Wj8ymKyjforTuGB/out-2.png",
    "https://pbxt.replicate.delivery/03fGw978ibxwS6g4rBSCMgA69YfTxeraN2Bomw3jOnforTuGB/out-3.png"
  ],
  "started_at": "2023-10-06T23:46:46.340920Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/wuydsydbrajpzwr3xkydwn4hpu",
    "cancel": "https://api.replicate.com/v1/predictions/wuydsydbrajpzwr3xkydwn4hpu/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

84.8 seconds

Tweak it ShareReport

Using seed: 15152
Prompt: Cyberpunk twins with pink and green hair in a divebar bathroom covered with graffiti, Blade Runner, Fight Club and Trainspotting vibes
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

e6bpimlbulqcgqxveybdnnfipi

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 33s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JeiC3WQgsM9qraCu7LiiiznTeqZFY6UM6CjthdzQp009UzRx/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
  "width": 896,
  "height": 1344,
  "prompt": "Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JeiC3WQgsM9qraCu7LiiiznTeqZFY6UM6CjthdzQp009UzRx/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      width: 896,
      height: 1344,
      prompt: "Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JeiC3WQgsM9qraCu7LiiiznTeqZFY6UM6CjthdzQp009UzRx/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
        "width": 896,
        "height": 1344,
        "prompt": "Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiC3WQgsM9qraCu7LiiiznTeqZFY6UM6CjthdzQp009UzRx/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JeiC3WQgsM9qraCu7LiiiznTeqZFY6UM6CjthdzQp009UzRx/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiC3WQgsM9qraCu7LiiiznTeqZFY6UM6CjthdzQp009UzRx/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-07T02:54:20.161745Z",
  "created_at": "2023-10-07T02:52:47.371350Z",
  "data_removed": false,
  "error": null,
  "id": "e6bpimlbulqcgqxveybdnnfipi",
  "input": {
    "image": "https://replicate.delivery/pbxt/JeiC3WQgsM9qraCu7LiiiznTeqZFY6UM6CjthdzQp009UzRx/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
    "width": 896,
    "height": 1344,
    "prompt": "Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 12190\nPrompt: Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:06,  1.13s/it]\n  3%|▎         | 2/60 [00:02<01:05,  1.13s/it]\n  5%|▌         | 3/60 [00:03<01:04,  1.13s/it]\n  7%|▋         | 4/60 [00:04<01:03,  1.13s/it]\n  8%|▊         | 5/60 [00:05<01:02,  1.13s/it]\n 10%|█         | 6/60 [00:06<01:01,  1.13s/it]\n 12%|█▏        | 7/60 [00:07<00:59,  1.13s/it]\n 13%|█▎        | 8/60 [00:09<00:58,  1.13s/it]\n 15%|█▌        | 9/60 [00:10<00:57,  1.13s/it]\n 17%|█▋        | 10/60 [00:11<00:56,  1.13s/it]\n 18%|█▊        | 11/60 [00:12<00:55,  1.13s/it]\n 20%|██        | 12/60 [00:13<00:54,  1.13s/it]\n 22%|██▏       | 13/60 [00:14<00:53,  1.13s/it]\n 23%|██▎       | 14/60 [00:15<00:51,  1.13s/it]\n 25%|██▌       | 15/60 [00:16<00:50,  1.13s/it]\n 27%|██▋       | 16/60 [00:18<00:49,  1.13s/it]\n 28%|██▊       | 17/60 [00:19<00:48,  1.13s/it]\n 30%|███       | 18/60 [00:20<00:47,  1.13s/it]\n 32%|███▏      | 19/60 [00:21<00:46,  1.13s/it]\n 33%|███▎      | 20/60 [00:22<00:45,  1.13s/it]\n 35%|███▌      | 21/60 [00:23<00:44,  1.13s/it]\n 37%|███▋      | 22/60 [00:24<00:42,  1.13s/it]\n 38%|███▊      | 23/60 [00:25<00:41,  1.13s/it]\n 40%|████      | 24/60 [00:27<00:40,  1.13s/it]\n 42%|████▏     | 25/60 [00:28<00:39,  1.13s/it]\n 43%|████▎     | 26/60 [00:29<00:38,  1.13s/it]\n 45%|████▌     | 27/60 [00:30<00:37,  1.13s/it]\n 47%|████▋     | 28/60 [00:31<00:36,  1.13s/it]\n 48%|████▊     | 29/60 [00:32<00:35,  1.13s/it]\n 50%|█████     | 30/60 [00:33<00:33,  1.13s/it]\n 52%|█████▏    | 31/60 [00:35<00:32,  1.13s/it]\n 53%|█████▎    | 32/60 [00:36<00:31,  1.13s/it]\n 55%|█████▌    | 33/60 [00:37<00:30,  1.13s/it]\n 57%|█████▋    | 34/60 [00:38<00:29,  1.13s/it]\n 58%|█████▊    | 35/60 [00:39<00:28,  1.13s/it]\n 60%|██████    | 36/60 [00:40<00:27,  1.13s/it]\n 62%|██████▏   | 37/60 [00:41<00:26,  1.13s/it]\n 63%|██████▎   | 38/60 [00:42<00:24,  1.13s/it]\n 65%|██████▌   | 39/60 [00:44<00:23,  1.13s/it]\n 67%|██████▋   | 40/60 [00:45<00:22,  1.14s/it]\n 68%|██████▊   | 41/60 [00:46<00:21,  1.13s/it]\n 70%|███████   | 42/60 [00:47<00:20,  1.13s/it]\n 72%|███████▏  | 43/60 [00:48<00:19,  1.13s/it]\n 73%|███████▎  | 44/60 [00:49<00:18,  1.14s/it]\n 75%|███████▌  | 45/60 [00:50<00:17,  1.14s/it]\n 77%|███████▋  | 46/60 [00:52<00:15,  1.14s/it]\n 78%|███████▊  | 47/60 [00:53<00:14,  1.14s/it]\n 80%|████████  | 48/60 [00:54<00:13,  1.14s/it]\n 82%|████████▏ | 49/60 [00:55<00:12,  1.14s/it]\n 83%|████████▎ | 50/60 [00:56<00:11,  1.14s/it]\n 85%|████████▌ | 51/60 [00:57<00:10,  1.14s/it]\n 87%|████████▋ | 52/60 [00:58<00:09,  1.14s/it]\n 88%|████████▊ | 53/60 [01:00<00:07,  1.14s/it]\n 90%|█████████ | 54/60 [01:01<00:06,  1.14s/it]\n 92%|█████████▏| 55/60 [01:02<00:05,  1.14s/it]\n 93%|█████████▎| 56/60 [01:03<00:04,  1.14s/it]\n 95%|█████████▌| 57/60 [01:04<00:03,  1.14s/it]\n 97%|█████████▋| 58/60 [01:05<00:02,  1.14s/it]\n 98%|█████████▊| 59/60 [01:06<00:01,  1.14s/it]\n100%|██████████| 60/60 [01:08<00:00,  1.14s/it]\n100%|██████████| 60/60 [01:08<00:00,  1.13s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:17,  1.10it/s]\n 10%|█         | 2/20 [00:01<00:16,  1.10it/s]\n 15%|█▌        | 3/20 [00:02<00:15,  1.10it/s]\n 20%|██        | 4/20 [00:03<00:14,  1.10it/s]\n 25%|██▌       | 5/20 [00:04<00:13,  1.10it/s]\n 30%|███       | 6/20 [00:05<00:12,  1.10it/s]\n 35%|███▌      | 7/20 [00:06<00:11,  1.10it/s]\n 40%|████      | 8/20 [00:07<00:10,  1.10it/s]\n 45%|████▌     | 9/20 [00:08<00:09,  1.10it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.10it/s]\n 55%|█████▌    | 11/20 [00:09<00:08,  1.10it/s]\n 60%|██████    | 12/20 [00:10<00:07,  1.10it/s]\n 65%|██████▌   | 13/20 [00:11<00:06,  1.10it/s]\n 70%|███████   | 14/20 [00:12<00:05,  1.10it/s]\n 75%|███████▌  | 15/20 [00:13<00:04,  1.10it/s]\n 80%|████████  | 16/20 [00:14<00:03,  1.10it/s]\n 85%|████████▌ | 17/20 [00:15<00:02,  1.10it/s]\n 90%|█████████ | 18/20 [00:16<00:01,  1.10it/s]\n 95%|█████████▌| 19/20 [00:17<00:00,  1.10it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.10it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.10it/s]",
  "metrics": {
    "predict_time": 92.853114,
    "total_time": 92.790395
  },
  "output": [
    "https://pbxt.replicate.delivery/6g47ZBqXtgLEKxwPRvpeSqxqG4Ph7VoWpffFjkr6lMfmlecNC/out-0.png",
    "https://pbxt.replicate.delivery/IpR1V7nxfSXaJCyeTieDS14t5Dor3eGk3yXRe9Rfv5RlW65aE/out-1.png",
    "https://pbxt.replicate.delivery/p9Ke6RG1D0RPZC4n2kmrebj7djGXp7Ws8Sk63oFh6xCbpnrRA/out-2.png",
    "https://pbxt.replicate.delivery/WVUkjxT4SlZqP1cTufB9Xz3JzbS98E25uaCrykePBe22SPXjA/out-3.png"
  ],
  "started_at": "2023-10-07T02:52:47.308631Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/e6bpimlbulqcgqxveybdnnfipi",
    "cancel": "https://api.replicate.com/v1/predictions/e6bpimlbulqcgqxveybdnnfipi/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 33 seconds

Tweak it ShareReport

Using seed: 12190
Prompt: Young Mary Elizabeth Winstead from Scott Pilgrim vs. the World a in a Cyberpunk dive bar bathroom covered with graffiti
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

qqinzw3btmmjm6fesj5tdlwk6m

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 33s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JeiMUOUHP9MI0Gs29KgaVA2DfrVxDH1DBRiCLwuCDv3hk3co/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
  "width": 896,
  "height": 1344,
  "prompt": "Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JeiMUOUHP9MI0Gs29KgaVA2DfrVxDH1DBRiCLwuCDv3hk3co/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      width: 896,
      height: 1344,
      prompt: "Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JeiMUOUHP9MI0Gs29KgaVA2DfrVxDH1DBRiCLwuCDv3hk3co/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
        "width": 896,
        "height": 1344,
        "prompt": "Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiMUOUHP9MI0Gs29KgaVA2DfrVxDH1DBRiCLwuCDv3hk3co/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JeiMUOUHP9MI0Gs29KgaVA2DfrVxDH1DBRiCLwuCDv3hk3co/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiMUOUHP9MI0Gs29KgaVA2DfrVxDH1DBRiCLwuCDv3hk3co/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-07T03:05:20.545739Z",
  "created_at": "2023-10-07T03:03:47.758870Z",
  "data_removed": false,
  "error": null,
  "id": "qqinzw3btmmjm6fesj5tdlwk6m",
  "input": {
    "image": "https://replicate.delivery/pbxt/JeiMUOUHP9MI0Gs29KgaVA2DfrVxDH1DBRiCLwuCDv3hk3co/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
    "width": 896,
    "height": 1344,
    "prompt": "Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 58694\nPrompt: Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:06,  1.13s/it]\n  3%|▎         | 2/60 [00:02<01:05,  1.13s/it]\n  5%|▌         | 3/60 [00:03<01:04,  1.13s/it]\n  7%|▋         | 4/60 [00:04<01:03,  1.13s/it]\n  8%|▊         | 5/60 [00:05<01:02,  1.13s/it]\n 10%|█         | 6/60 [00:06<01:01,  1.13s/it]\n 12%|█▏        | 7/60 [00:07<00:59,  1.13s/it]\n 13%|█▎        | 8/60 [00:09<00:58,  1.13s/it]\n 15%|█▌        | 9/60 [00:10<00:57,  1.13s/it]\n 17%|█▋        | 10/60 [00:11<00:56,  1.13s/it]\n 18%|█▊        | 11/60 [00:12<00:55,  1.13s/it]\n 20%|██        | 12/60 [00:13<00:54,  1.13s/it]\n 22%|██▏       | 13/60 [00:14<00:53,  1.13s/it]\n 23%|██▎       | 14/60 [00:15<00:51,  1.13s/it]\n 25%|██▌       | 15/60 [00:16<00:50,  1.13s/it]\n 27%|██▋       | 16/60 [00:18<00:49,  1.13s/it]\n 28%|██▊       | 17/60 [00:19<00:48,  1.13s/it]\n 30%|███       | 18/60 [00:20<00:47,  1.13s/it]\n 32%|███▏      | 19/60 [00:21<00:46,  1.13s/it]\n 33%|███▎      | 20/60 [00:22<00:45,  1.13s/it]\n 35%|███▌      | 21/60 [00:23<00:44,  1.13s/it]\n 37%|███▋      | 22/60 [00:24<00:42,  1.13s/it]\n 38%|███▊      | 23/60 [00:25<00:41,  1.13s/it]\n 40%|████      | 24/60 [00:27<00:40,  1.13s/it]\n 42%|████▏     | 25/60 [00:28<00:39,  1.13s/it]\n 43%|████▎     | 26/60 [00:29<00:38,  1.13s/it]\n 45%|████▌     | 27/60 [00:30<00:37,  1.13s/it]\n 47%|████▋     | 28/60 [00:31<00:36,  1.13s/it]\n 48%|████▊     | 29/60 [00:32<00:35,  1.13s/it]\n 50%|█████     | 30/60 [00:33<00:33,  1.13s/it]\n 52%|█████▏    | 31/60 [00:35<00:32,  1.13s/it]\n 53%|█████▎    | 32/60 [00:36<00:31,  1.13s/it]\n 55%|█████▌    | 33/60 [00:37<00:30,  1.13s/it]\n 57%|█████▋    | 34/60 [00:38<00:29,  1.13s/it]\n 58%|█████▊    | 35/60 [00:39<00:28,  1.13s/it]\n 60%|██████    | 36/60 [00:40<00:27,  1.13s/it]\n 62%|██████▏   | 37/60 [00:41<00:26,  1.13s/it]\n 63%|██████▎   | 38/60 [00:42<00:24,  1.13s/it]\n 65%|██████▌   | 39/60 [00:44<00:23,  1.13s/it]\n 67%|██████▋   | 40/60 [00:45<00:22,  1.13s/it]\n 68%|██████▊   | 41/60 [00:46<00:21,  1.13s/it]\n 70%|███████   | 42/60 [00:47<00:20,  1.13s/it]\n 72%|███████▏  | 43/60 [00:48<00:19,  1.13s/it]\n 73%|███████▎  | 44/60 [00:49<00:18,  1.13s/it]\n 75%|███████▌  | 45/60 [00:50<00:17,  1.13s/it]\n 77%|███████▋  | 46/60 [00:52<00:15,  1.13s/it]\n 78%|███████▊  | 47/60 [00:53<00:14,  1.13s/it]\n 80%|████████  | 48/60 [00:54<00:13,  1.14s/it]\n 82%|████████▏ | 49/60 [00:55<00:12,  1.13s/it]\n 83%|████████▎ | 50/60 [00:56<00:11,  1.14s/it]\n 85%|████████▌ | 51/60 [00:57<00:10,  1.14s/it]\n 87%|████████▋ | 52/60 [00:58<00:09,  1.14s/it]\n 88%|████████▊ | 53/60 [00:59<00:07,  1.14s/it]\n 90%|█████████ | 54/60 [01:01<00:06,  1.14s/it]\n 92%|█████████▏| 55/60 [01:02<00:05,  1.14s/it]\n 93%|█████████▎| 56/60 [01:03<00:04,  1.14s/it]\n 95%|█████████▌| 57/60 [01:04<00:03,  1.14s/it]\n 97%|█████████▋| 58/60 [01:05<00:02,  1.14s/it]\n 98%|█████████▊| 59/60 [01:06<00:01,  1.14s/it]\n100%|██████████| 60/60 [01:07<00:00,  1.14s/it]\n100%|██████████| 60/60 [01:07<00:00,  1.13s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:17,  1.09it/s]\n 10%|█         | 2/20 [00:01<00:16,  1.10it/s]\n 15%|█▌        | 3/20 [00:02<00:15,  1.10it/s]\n 20%|██        | 4/20 [00:03<00:14,  1.10it/s]\n 25%|██▌       | 5/20 [00:04<00:13,  1.10it/s]\n 30%|███       | 6/20 [00:05<00:12,  1.10it/s]\n 35%|███▌      | 7/20 [00:06<00:11,  1.10it/s]\n 40%|████      | 8/20 [00:07<00:10,  1.10it/s]\n 45%|████▌     | 9/20 [00:08<00:09,  1.10it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.10it/s]\n 55%|█████▌    | 11/20 [00:09<00:08,  1.10it/s]\n 60%|██████    | 12/20 [00:10<00:07,  1.10it/s]\n 65%|██████▌   | 13/20 [00:11<00:06,  1.10it/s]\n 70%|███████   | 14/20 [00:12<00:05,  1.10it/s]\n 75%|███████▌  | 15/20 [00:13<00:04,  1.10it/s]\n 80%|████████  | 16/20 [00:14<00:03,  1.10it/s]\n 85%|████████▌ | 17/20 [00:15<00:02,  1.10it/s]\n 90%|█████████ | 18/20 [00:16<00:01,  1.10it/s]\n 95%|█████████▌| 19/20 [00:17<00:00,  1.10it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.10it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.10it/s]",
  "metrics": {
    "predict_time": 92.792639,
    "total_time": 92.786869
  },
  "output": [
    "https://pbxt.replicate.delivery/6dDHXziB114fCK2vX6yd3fEWV0B7Ljppevh0nZyzg2DbnPXjA/out-0.png",
    "https://pbxt.replicate.delivery/1TyyTs1Y0jL1BZ3HgZ0Uqgviatk8CsqJybfVeQtk1zqvznrRA/out-1.png",
    "https://pbxt.replicate.delivery/2HlKeIODD6xLUqyYa7cdjBG6OvqK9J4jUzwGWAgx66s35z1IA/out-2.png",
    "https://pbxt.replicate.delivery/b86pniBeDcxRXSUhSbeDz0O5G8CRQm8vyOf1b6I0wVpgnPXjA/out-3.png"
  ],
  "started_at": "2023-10-07T03:03:47.753100Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qqinzw3btmmjm6fesj5tdlwk6m",
    "cancel": "https://api.replicate.com/v1/predictions/qqinzw3btmmjm6fesj5tdlwk6m/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 33 seconds

Tweak it ShareReport

Using seed: 58694
Prompt: Young Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting and Fight Club vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

pfry3ztbxyei7nt6ykcbubiwra

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 33s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JeiQ2nY46m2vHgfK5ejw0jTOwFVy5fOCKNhn865VfTeMeosB/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
  "width": 896,
  "height": 1344,
  "prompt": "A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JeiQ2nY46m2vHgfK5ejw0jTOwFVy5fOCKNhn865VfTeMeosB/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      width: 896,
      height: 1344,
      prompt: "A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JeiQ2nY46m2vHgfK5ejw0jTOwFVy5fOCKNhn865VfTeMeosB/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
        "width": 896,
        "height": 1344,
        "prompt": "A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiQ2nY46m2vHgfK5ejw0jTOwFVy5fOCKNhn865VfTeMeosB/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JeiQ2nY46m2vHgfK5ejw0jTOwFVy5fOCKNhn865VfTeMeosB/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiQ2nY46m2vHgfK5ejw0jTOwFVy5fOCKNhn865VfTeMeosB/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-07T03:09:06.283953Z",
  "created_at": "2023-10-07T03:07:33.474667Z",
  "data_removed": false,
  "error": null,
  "id": "pfry3ztbxyei7nt6ykcbubiwra",
  "input": {
    "image": "https://replicate.delivery/pbxt/JeiQ2nY46m2vHgfK5ejw0jTOwFVy5fOCKNhn865VfTeMeosB/3AD6EE2B-BB7D-4B6F-9D3D-24F008228D1A.jpeg",
    "width": 896,
    "height": 1344,
    "prompt": "A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 48727\nPrompt: A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<01:06,  1.13s/it]\n  3%|▎         | 2/60 [00:02<01:05,  1.13s/it]\n  5%|▌         | 3/60 [00:03<01:04,  1.13s/it]\n  7%|▋         | 4/60 [00:04<01:03,  1.13s/it]\n  8%|▊         | 5/60 [00:05<01:02,  1.13s/it]\n 10%|█         | 6/60 [00:06<01:01,  1.13s/it]\n 12%|█▏        | 7/60 [00:07<00:59,  1.13s/it]\n 13%|█▎        | 8/60 [00:09<00:58,  1.13s/it]\n 15%|█▌        | 9/60 [00:10<00:57,  1.13s/it]\n 17%|█▋        | 10/60 [00:11<00:56,  1.13s/it]\n 18%|█▊        | 11/60 [00:12<00:55,  1.13s/it]\n 20%|██        | 12/60 [00:13<00:54,  1.13s/it]\n 22%|██▏       | 13/60 [00:14<00:53,  1.13s/it]\n 23%|██▎       | 14/60 [00:15<00:51,  1.13s/it]\n 25%|██▌       | 15/60 [00:16<00:50,  1.13s/it]\n 27%|██▋       | 16/60 [00:18<00:49,  1.13s/it]\n 28%|██▊       | 17/60 [00:19<00:48,  1.13s/it]\n 30%|███       | 18/60 [00:20<00:47,  1.13s/it]\n 32%|███▏      | 19/60 [00:21<00:46,  1.13s/it]\n 33%|███▎      | 20/60 [00:22<00:45,  1.13s/it]\n 35%|███▌      | 21/60 [00:23<00:44,  1.13s/it]\n 37%|███▋      | 22/60 [00:24<00:42,  1.13s/it]\n 38%|███▊      | 23/60 [00:25<00:41,  1.13s/it]\n 40%|████      | 24/60 [00:27<00:40,  1.13s/it]\n 42%|████▏     | 25/60 [00:28<00:39,  1.13s/it]\n 43%|████▎     | 26/60 [00:29<00:38,  1.13s/it]\n 45%|████▌     | 27/60 [00:30<00:37,  1.13s/it]\n 47%|████▋     | 28/60 [00:31<00:36,  1.13s/it]\n 48%|████▊     | 29/60 [00:32<00:35,  1.13s/it]\n 50%|█████     | 30/60 [00:33<00:33,  1.13s/it]\n 52%|█████▏    | 31/60 [00:35<00:32,  1.13s/it]\n 53%|█████▎    | 32/60 [00:36<00:31,  1.13s/it]\n 55%|█████▌    | 33/60 [00:37<00:30,  1.13s/it]\n 57%|█████▋    | 34/60 [00:38<00:29,  1.13s/it]\n 58%|█████▊    | 35/60 [00:39<00:28,  1.13s/it]\n 60%|██████    | 36/60 [00:40<00:27,  1.13s/it]\n 62%|██████▏   | 37/60 [00:41<00:26,  1.13s/it]\n 63%|██████▎   | 38/60 [00:42<00:25,  1.14s/it]\n 65%|██████▌   | 39/60 [00:44<00:23,  1.14s/it]\n 67%|██████▋   | 40/60 [00:45<00:22,  1.14s/it]\n 68%|██████▊   | 41/60 [00:46<00:21,  1.14s/it]\n 70%|███████   | 42/60 [00:47<00:20,  1.14s/it]\n 72%|███████▏  | 43/60 [00:48<00:19,  1.14s/it]\n 73%|███████▎  | 44/60 [00:49<00:18,  1.14s/it]\n 75%|███████▌  | 45/60 [00:50<00:17,  1.14s/it]\n 77%|███████▋  | 46/60 [00:52<00:15,  1.14s/it]\n 78%|███████▊  | 47/60 [00:53<00:14,  1.14s/it]\n 80%|████████  | 48/60 [00:54<00:13,  1.14s/it]\n 82%|████████▏ | 49/60 [00:55<00:12,  1.14s/it]\n 83%|████████▎ | 50/60 [00:56<00:11,  1.14s/it]\n 85%|████████▌ | 51/60 [00:57<00:10,  1.14s/it]\n 87%|████████▋ | 52/60 [00:58<00:09,  1.14s/it]\n 88%|████████▊ | 53/60 [01:00<00:07,  1.14s/it]\n 90%|█████████ | 54/60 [01:01<00:06,  1.14s/it]\n 92%|█████████▏| 55/60 [01:02<00:05,  1.14s/it]\n 93%|█████████▎| 56/60 [01:03<00:04,  1.14s/it]\n 95%|█████████▌| 57/60 [01:04<00:03,  1.14s/it]\n 97%|█████████▋| 58/60 [01:05<00:02,  1.14s/it]\n 98%|█████████▊| 59/60 [01:06<00:01,  1.14s/it]\n100%|██████████| 60/60 [01:07<00:00,  1.14s/it]\n100%|██████████| 60/60 [01:07<00:00,  1.13s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:17,  1.10it/s]\n 10%|█         | 2/20 [00:01<00:16,  1.10it/s]\n 15%|█▌        | 3/20 [00:02<00:15,  1.10it/s]\n 20%|██        | 4/20 [00:03<00:14,  1.10it/s]\n 25%|██▌       | 5/20 [00:04<00:13,  1.10it/s]\n 30%|███       | 6/20 [00:05<00:12,  1.10it/s]\n 35%|███▌      | 7/20 [00:06<00:11,  1.10it/s]\n 40%|████      | 8/20 [00:07<00:10,  1.10it/s]\n 45%|████▌     | 9/20 [00:08<00:09,  1.10it/s]\n 50%|█████     | 10/20 [00:09<00:09,  1.10it/s]\n 55%|█████▌    | 11/20 [00:09<00:08,  1.10it/s]\n 60%|██████    | 12/20 [00:10<00:07,  1.10it/s]\n 65%|██████▌   | 13/20 [00:11<00:06,  1.10it/s]\n 70%|███████   | 14/20 [00:12<00:05,  1.10it/s]\n 75%|███████▌  | 15/20 [00:13<00:04,  1.10it/s]\n 80%|████████  | 16/20 [00:14<00:03,  1.10it/s]\n 85%|████████▌ | 17/20 [00:15<00:02,  1.10it/s]\n 90%|█████████ | 18/20 [00:16<00:01,  1.10it/s]\n 95%|█████████▌| 19/20 [00:17<00:00,  1.10it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.10it/s]\n100%|██████████| 20/20 [00:18<00:00,  1.10it/s]",
  "metrics": {
    "predict_time": 92.854934,
    "total_time": 92.809286
  },
  "output": [
    "https://pbxt.replicate.delivery/iZUJpcO43yruAFWAeLjXq7UjAJ1iOa1oevbjY8ZPDZ4P3nrRA/out-0.png",
    "https://pbxt.replicate.delivery/it5EdxyW1d55AhiPUywYWlT8qJc9Zj4FxwjON9zMTEJ095aE/out-1.png",
    "https://pbxt.replicate.delivery/wgliXM0bXj6hNlE2G47HBGgMQE9FBtCz45DhDazbn2fo7z1IA/out-2.png",
    "https://pbxt.replicate.delivery/y7LjXsOd2bLuE5SpR0mgheh7Hso5bDTAza84OjblTMmo7z1IA/out-3.png"
  ],
  "started_at": "2023-10-07T03:07:33.429019Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/pfry3ztbxyei7nt6ykcbubiwra",
    "cancel": "https://api.replicate.com/v1/predictions/pfry3ztbxyei7nt6ykcbubiwra/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 33 seconds

Tweak it ShareReport

Using seed: 48727
Prompt: A cyberpunk Young Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered in graffiti, Trainspotting and Fight Club vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

uuanpjdbazx5fuuueuwoeftr5m

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

84.0s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JeiaIoqrivtIQfdfEoufWNefREQbljvDeZc2itd3ZNrOgRVq/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 896,
  "height": 1344,
  "prompt": "A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JeiaIoqrivtIQfdfEoufWNefREQbljvDeZc2itd3ZNrOgRVq/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 896,
      height: 1344,
      prompt: "A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JeiaIoqrivtIQfdfEoufWNefREQbljvDeZc2itd3ZNrOgRVq/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 896,
        "height": 1344,
        "prompt": "A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiaIoqrivtIQfdfEoufWNefREQbljvDeZc2itd3ZNrOgRVq/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 896,
      "height": 1344,
      "prompt": "A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JeiaIoqrivtIQfdfEoufWNefREQbljvDeZc2itd3ZNrOgRVq/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JeiaIoqrivtIQfdfEoufWNefREQbljvDeZc2itd3ZNrOgRVq/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 896,
      "height": 1344,
      "prompt": "A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-07T03:19:46.815645Z",
  "created_at": "2023-10-07T03:18:22.807549Z",
  "data_removed": false,
  "error": null,
  "id": "uuanpjdbazx5fuuueuwoeftr5m",
  "input": {
    "image": "https://replicate.delivery/pbxt/JeiaIoqrivtIQfdfEoufWNefREQbljvDeZc2itd3ZNrOgRVq/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 896,
    "height": 1344,
    "prompt": "A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 25,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 37583\nPrompt: A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<00:59,  1.01s/it]\n  3%|▎         | 2/60 [00:02<00:58,  1.01s/it]\n  5%|▌         | 3/60 [00:03<00:57,  1.01s/it]\n  7%|▋         | 4/60 [00:04<00:56,  1.01s/it]\n  8%|▊         | 5/60 [00:05<00:55,  1.01s/it]\n 10%|█         | 6/60 [00:06<00:54,  1.01s/it]\n 12%|█▏        | 7/60 [00:07<00:53,  1.01s/it]\n 13%|█▎        | 8/60 [00:08<00:52,  1.01s/it]\n 15%|█▌        | 9/60 [00:09<00:51,  1.01s/it]\n 17%|█▋        | 10/60 [00:10<00:50,  1.01s/it]\n 18%|█▊        | 11/60 [00:11<00:49,  1.01s/it]\n 20%|██        | 12/60 [00:12<00:48,  1.01s/it]\n 22%|██▏       | 13/60 [00:13<00:47,  1.01s/it]\n 23%|██▎       | 14/60 [00:14<00:46,  1.01s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.01s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.01s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.01s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.01s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.01s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.01s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.01s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.01s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.01s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.01s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.01s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.01s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.02s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.02s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.02s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.02s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.02s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.02s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.02s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.02s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.02s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.02s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.02s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.02s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.02s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.02s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.02s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.02s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.02s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.02s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.02s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.02s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.02s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.02s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.02s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.02s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.02s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.02s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.22it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.22it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.22it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.22it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.22it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.21it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.21it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.22it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.22it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.22it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.22it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.22it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.22it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.22it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.22it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.22it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.22it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.22it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]",
  "metrics": {
    "predict_time": 84.046717,
    "total_time": 84.008096
  },
  "output": [
    "https://pbxt.replicate.delivery/BieJbdvmFbyAM6cs30eBcuhycj8IYZLH6aPUkkVLTwuQBorRA/out-0.png",
    "https://pbxt.replicate.delivery/2dAxhpF7f42KJ6E17ox6AdCYZhRaMFcwR9lUe2RkH7aRBorRA/out-1.png",
    "https://pbxt.replicate.delivery/fhwwb3y43vzgQiwhGFc38isD9ovgyT13SansuRb3ibwoA01IA/out-2.png",
    "https://pbxt.replicate.delivery/7YtAxgWB2RbcL1aMKzetfzroQwS2X0KK8106Z5LHeyPlCQXjA/out-3.png"
  ],
  "started_at": "2023-10-07T03:18:22.768928Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/uuanpjdbazx5fuuueuwoeftr5m",
    "cancel": "https://api.replicate.com/v1/predictions/uuanpjdbazx5fuuueuwoeftr5m/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

84.0 seconds

Tweak it ShareReport

Using seed: 37583
Prompt: A Young Mila Kunis with pink and green hair taking a selfie in a Cyberpunk bathroom covered in graffiti, Trainspotting and Fight Club vibes
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

kjytlj3bd26dcrddykbv5htxn4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 15s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 928,
  "height": 1232,
  "prompt": "cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 928,
      height: 1232,
      prompt: "cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 928,
        "height": 1232,
        "prompt": "cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-07T03:32:24.411247Z",
  "created_at": "2023-10-07T03:30:09.903475Z",
  "data_removed": false,
  "error": null,
  "id": "kjytlj3bd26dcrddykbv5htxn4",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 928,
    "height": 1232,
    "prompt": "cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 32536\nPrompt: cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:01<00:59,  1.00s/it]\n  3%|▎         | 2/60 [00:02<00:58,  1.00s/it]\n  5%|▌         | 3/60 [00:03<00:57,  1.00s/it]\n  7%|▋         | 4/60 [00:04<00:56,  1.00s/it]\n  8%|▊         | 5/60 [00:05<00:54,  1.00it/s]\n 10%|█         | 6/60 [00:06<00:53,  1.00it/s]\n 12%|█▏        | 7/60 [00:06<00:52,  1.00it/s]\n 13%|█▎        | 8/60 [00:07<00:51,  1.00it/s]\n 15%|█▌        | 9/60 [00:08<00:50,  1.00it/s]\n 17%|█▋        | 10/60 [00:09<00:49,  1.00it/s]\n 18%|█▊        | 11/60 [00:10<00:48,  1.00it/s]\n 20%|██        | 12/60 [00:11<00:48,  1.00s/it]\n 22%|██▏       | 13/60 [00:12<00:47,  1.00s/it]\n 23%|██▎       | 14/60 [00:14<00:46,  1.00s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.00s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.00s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.00s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.00s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.00s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.00s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.00s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.00s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.00s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.00s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.00s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.00s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.01s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.01s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.01s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.01s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.01s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.01s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.01s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.01s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.01s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.01s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.01s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.01s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.01s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.01s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.01s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.01s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.01s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.01s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.01s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.01s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.01s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.01s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.01s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.01s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.22it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.22it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.22it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.22it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.21it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.22it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.22it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.22it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.22it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.22it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.22it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.22it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.22it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.22it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.22it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.22it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.22it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.22it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]",
  "metrics": {
    "predict_time": 85.17045,
    "total_time": 134.507772
  },
  "output": [
    "https://pbxt.replicate.delivery/RlKz8yEqiwb8IFgHIaHBDSUA9RbxgIKjfe9xXuhjl7cFNorRA/out-0.png",
    "https://pbxt.replicate.delivery/OubfQcszfzj7bkueqRQ3RKBFlN9PPUoJHe5fVTeGREAhRD6aE/out-1.png",
    "https://pbxt.replicate.delivery/uVMiHaSy86bvHVwWXmp798r2WyPU2rb1YeFvy2IWuSwjG01IA/out-2.png",
    "https://pbxt.replicate.delivery/hmAFjrGTOE4NKFMSvDfm2hesNF4ksIU8eIQwYc9icrqRaQXjA/out-3.png"
  ],
  "started_at": "2023-10-07T03:30:59.240797Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/kjytlj3bd26dcrddykbv5htxn4",
    "cancel": "https://api.replicate.com/v1/predictions/kjytlj3bd26dcrddykbv5htxn4/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

85.2 seconds

Tweak it ShareReport

Using seed: 32536
Prompt: cyberpunk Natalie Portman taking a selfie in a divebar bathroom covered with graffiti in style of Blade Runner and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

fzv63n3bgzmlr2rbv5q6ockiqq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

83.6s

Created

over 1 year ago

Input

image
width: 928
height: 1232
prompt: cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.91
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
  "width": 928,
  "height": 1232,
  "prompt": "cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.91,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      width: 928,
      height: 1232,
      prompt: "cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.91,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
        "width": 928,
        "height": 1232,
        "prompt": "cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.91,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.91,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt="cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.91' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
      "width": 928,
      "height": 1232,
      "prompt": "cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.91,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-07T03:36:09.617809Z",
  "created_at": "2023-10-07T03:34:46.017745Z",
  "data_removed": false,
  "error": null,
  "id": "fzv63n3bgzmlr2rbv5q6ockiqq",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcrSQJY00Nlnhj5hDrJsifwZRCVECDzsus1BZ82k3boSyvFc/marcaaron_cracks_in_the_porcelain_skin_with_neon_light_leaks_pu_65d2fdaa-4494-4acb-926f-46ee59deb3d9.png",
    "width": 928,
    "height": 1232,
    "prompt": "cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.91,
    "num_outputs": 4,
    "guidance_scale": 15,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 63827\nPrompt: cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes\nimg2img mode\n  0%|          | 0/60 [00:00<?, ?it/s]\n  2%|▏         | 1/60 [00:00<00:58,  1.00it/s]\n  3%|▎         | 2/60 [00:01<00:57,  1.00it/s]\n  5%|▌         | 3/60 [00:03<00:57,  1.00s/it]\n  7%|▋         | 4/60 [00:03<00:55,  1.00it/s]\n  8%|▊         | 5/60 [00:04<00:54,  1.00it/s]\n 10%|█         | 6/60 [00:05<00:53,  1.00it/s]\n 12%|█▏        | 7/60 [00:06<00:52,  1.00it/s]\n 13%|█▎        | 8/60 [00:07<00:51,  1.00it/s]\n 15%|█▌        | 9/60 [00:08<00:50,  1.00it/s]\n 17%|█▋        | 10/60 [00:09<00:49,  1.00it/s]\n 18%|█▊        | 11/60 [00:10<00:48,  1.00it/s]\n 20%|██        | 12/60 [00:11<00:48,  1.00s/it]\n 22%|██▏       | 13/60 [00:12<00:47,  1.00s/it]\n 23%|██▎       | 14/60 [00:13<00:46,  1.00s/it]\n 25%|██▌       | 15/60 [00:15<00:45,  1.00s/it]\n 27%|██▋       | 16/60 [00:16<00:44,  1.00s/it]\n 28%|██▊       | 17/60 [00:17<00:43,  1.00s/it]\n 30%|███       | 18/60 [00:18<00:42,  1.00s/it]\n 32%|███▏      | 19/60 [00:19<00:41,  1.00s/it]\n 33%|███▎      | 20/60 [00:20<00:40,  1.00s/it]\n 35%|███▌      | 21/60 [00:21<00:39,  1.00s/it]\n 37%|███▋      | 22/60 [00:22<00:38,  1.01s/it]\n 38%|███▊      | 23/60 [00:23<00:37,  1.00s/it]\n 40%|████      | 24/60 [00:24<00:36,  1.01s/it]\n 42%|████▏     | 25/60 [00:25<00:35,  1.01s/it]\n 43%|████▎     | 26/60 [00:26<00:34,  1.01s/it]\n 45%|████▌     | 27/60 [00:27<00:33,  1.01s/it]\n 47%|████▋     | 28/60 [00:28<00:32,  1.01s/it]\n 48%|████▊     | 29/60 [00:29<00:31,  1.01s/it]\n 50%|█████     | 30/60 [00:30<00:30,  1.01s/it]\n 52%|█████▏    | 31/60 [00:31<00:29,  1.01s/it]\n 53%|█████▎    | 32/60 [00:32<00:28,  1.01s/it]\n 55%|█████▌    | 33/60 [00:33<00:27,  1.01s/it]\n 57%|█████▋    | 34/60 [00:34<00:26,  1.01s/it]\n 58%|█████▊    | 35/60 [00:35<00:25,  1.01s/it]\n 60%|██████    | 36/60 [00:36<00:24,  1.01s/it]\n 62%|██████▏   | 37/60 [00:37<00:23,  1.01s/it]\n 63%|██████▎   | 38/60 [00:38<00:22,  1.01s/it]\n 65%|██████▌   | 39/60 [00:39<00:21,  1.01s/it]\n 67%|██████▋   | 40/60 [00:40<00:20,  1.01s/it]\n 68%|██████▊   | 41/60 [00:41<00:19,  1.01s/it]\n 70%|███████   | 42/60 [00:42<00:18,  1.01s/it]\n 72%|███████▏  | 43/60 [00:43<00:17,  1.01s/it]\n 73%|███████▎  | 44/60 [00:44<00:16,  1.01s/it]\n 75%|███████▌  | 45/60 [00:45<00:15,  1.01s/it]\n 77%|███████▋  | 46/60 [00:46<00:14,  1.01s/it]\n 78%|███████▊  | 47/60 [00:47<00:13,  1.01s/it]\n 80%|████████  | 48/60 [00:48<00:12,  1.01s/it]\n 82%|████████▏ | 49/60 [00:49<00:11,  1.01s/it]\n 83%|████████▎ | 50/60 [00:50<00:10,  1.01s/it]\n 85%|████████▌ | 51/60 [00:51<00:09,  1.01s/it]\n 87%|████████▋ | 52/60 [00:52<00:08,  1.01s/it]\n 88%|████████▊ | 53/60 [00:53<00:07,  1.01s/it]\n 90%|█████████ | 54/60 [00:54<00:06,  1.01s/it]\n 92%|█████████▏| 55/60 [00:55<00:05,  1.01s/it]\n 93%|█████████▎| 56/60 [00:56<00:04,  1.01s/it]\n 95%|█████████▌| 57/60 [00:57<00:03,  1.01s/it]\n 97%|█████████▋| 58/60 [00:58<00:02,  1.01s/it]\n 98%|█████████▊| 59/60 [00:59<00:01,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n100%|██████████| 60/60 [01:00<00:00,  1.01s/it]\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:15,  1.23it/s]\n 10%|█         | 2/20 [00:01<00:14,  1.22it/s]\n 15%|█▌        | 3/20 [00:02<00:13,  1.22it/s]\n 20%|██        | 4/20 [00:03<00:13,  1.22it/s]\n 25%|██▌       | 5/20 [00:04<00:12,  1.22it/s]\n 30%|███       | 6/20 [00:04<00:11,  1.22it/s]\n 35%|███▌      | 7/20 [00:05<00:10,  1.22it/s]\n 40%|████      | 8/20 [00:06<00:09,  1.22it/s]\n 45%|████▌     | 9/20 [00:07<00:09,  1.22it/s]\n 50%|█████     | 10/20 [00:08<00:08,  1.22it/s]\n 55%|█████▌    | 11/20 [00:09<00:07,  1.22it/s]\n 60%|██████    | 12/20 [00:09<00:06,  1.22it/s]\n 65%|██████▌   | 13/20 [00:10<00:05,  1.22it/s]\n 70%|███████   | 14/20 [00:11<00:04,  1.22it/s]\n 75%|███████▌  | 15/20 [00:12<00:04,  1.22it/s]\n 80%|████████  | 16/20 [00:13<00:03,  1.22it/s]\n 85%|████████▌ | 17/20 [00:13<00:02,  1.22it/s]\n 90%|█████████ | 18/20 [00:14<00:01,  1.22it/s]\n 95%|█████████▌| 19/20 [00:15<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]\n100%|██████████| 20/20 [00:16<00:00,  1.22it/s]",
  "metrics": {
    "predict_time": 83.636477,
    "total_time": 83.600064
  },
  "output": [
    "https://pbxt.replicate.delivery/VtVEL1hGOLL7BdcBuFeooq2WgdWuSWgmCowAaVZeptLmQorRA/out-0.png",
    "https://pbxt.replicate.delivery/s5qRfrAbtejUw0NflZ3yfXEumfl7UntgVPeh9yVbIT5FKE6aE/out-1.png",
    "https://pbxt.replicate.delivery/ds5cMY5C6z6RM5HfWDreBiKXNpsMupRirkKGBlF75IxoQorRA/out-2.png",
    "https://pbxt.replicate.delivery/pB4XAnvCt6JhKB2ezUuS8jIbq4SkMgFJGMvP3mPUUQgUI01IA/out-3.png"
  ],
  "started_at": "2023-10-07T03:34:45.981332Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fzv63n3bgzmlr2rbv5q6ockiqq",
    "cancel": "https://api.replicate.com/v1/predictions/fzv63n3bgzmlr2rbv5q6ockiqq/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

83.6 seconds

Tweak it ShareReport

Using seed: 63827
Prompt: cyberpunk Natalie Portman with pink hair taking a selfie in a cyberpunk divebar covered with graffiti in style of Blade Runner and Trainspotting vibes
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

vgj3ujtb2p6t4uokfoby4i5z7q

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 49s

Created

over 1 year ago

Input

image
width: 896
height: 1344
prompt: Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JgjJSwpecoaZjfVU46AHNqnHM9uU5dsXxfS1lSt0D5Y5Y6M7/mask.png",
  "width": 896,
  "height": 1344,
  "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JgjJSwpecoaZjfVU46AHNqnHM9uU5dsXxfS1lSt0D5Y5Y6M7/mask.png",
      width: 896,
      height: 1344,
      prompt: "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JgjJSwpecoaZjfVU46AHNqnHM9uU5dsXxfS1lSt0D5Y5Y6M7/mask.png",
        "width": 896,
        "height": 1344,
        "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JgjJSwpecoaZjfVU46AHNqnHM9uU5dsXxfS1lSt0D5Y5Y6M7/mask.png",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JgjJSwpecoaZjfVU46AHNqnHM9uU5dsXxfS1lSt0D5Y5Y6M7/mask.png"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JgjJSwpecoaZjfVU46AHNqnHM9uU5dsXxfS1lSt0D5Y5Y6M7/mask.png",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "Nudity, dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1 minute 40 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

g2xqhxtbqv7umffxorubneyroy

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 8s

Created

over 1 year ago

Input

mask
width: 928
height: 1312
prompt: Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/JgkF4M4WUW9bRfU8nzTEEHFtDK9aht2Lwc5iJHKjXNffLKm9/mask.png",
  "width": 928,
  "height": 1312,
  "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JgkF4M4WUW9bRfU8nzTEEHFtDK9aht2Lwc5iJHKjXNffLKm9/mask.png",
      width: 928,
      height: 1312,
      prompt: "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JgkF4M4WUW9bRfU8nzTEEHFtDK9aht2Lwc5iJHKjXNffLKm9/mask.png",
        "width": 928,
        "height": 1312,
        "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JgkF4M4WUW9bRfU8nzTEEHFtDK9aht2Lwc5iJHKjXNffLKm9/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JgkF4M4WUW9bRfU8nzTEEHFtDK9aht2Lwc5iJHKjXNffLKm9/mask.png"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JgkF4M4WUW9bRfU8nzTEEHFtDK9aht2Lwc5iJHKjXNffLKm9/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2 minutes

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

cmuyv6lb7s42iz6dv3cnz5cxuq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 15s

Created

over 1 year ago

Input

mask
image
width: 928
height: 1312
prompt: Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes
refine: base_image_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "mask": "https://replicate.delivery/pbxt/JgjOC8Y9mGtX3RwbxmUz22syQwqywi8zW3S2hBhNpenr0BNQ/mask.png",
  "image": "https://replicate.delivery/pbxt/JgjOBbFHeuACIEKQdjthg9VnXf5Kxz5W0MQHn25cdW0xNkVP/mask.png",
  "width": 928,
  "height": 1312,
  "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
  "refine": "base_image_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 25,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JgjOC8Y9mGtX3RwbxmUz22syQwqywi8zW3S2hBhNpenr0BNQ/mask.png",
      image: "https://replicate.delivery/pbxt/JgjOBbFHeuACIEKQdjthg9VnXf5Kxz5W0MQHn25cdW0xNkVP/mask.png",
      width: 928,
      height: 1312,
      prompt: "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
      refine: "base_image_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 25,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JgjOC8Y9mGtX3RwbxmUz22syQwqywi8zW3S2hBhNpenr0BNQ/mask.png",
        "image": "https://replicate.delivery/pbxt/JgjOBbFHeuACIEKQdjthg9VnXf5Kxz5W0MQHn25cdW0xNkVP/mask.png",
        "width": 928,
        "height": 1312,
        "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
        "refine": "base_image_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 25,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JgjOC8Y9mGtX3RwbxmUz22syQwqywi8zW3S2hBhNpenr0BNQ/mask.png",
      "image": "https://replicate.delivery/pbxt/JgjOBbFHeuACIEKQdjthg9VnXf5Kxz5W0MQHn25cdW0xNkVP/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
      "refine": "base_image_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JgjOC8Y9mGtX3RwbxmUz22syQwqywi8zW3S2hBhNpenr0BNQ/mask.png"' \
  -i 'image="https://replicate.delivery/pbxt/JgjOBbFHeuACIEKQdjthg9VnXf5Kxz5W0MQHn25cdW0xNkVP/mask.png"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes"' \
  -i 'refine="base_image_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=25' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JgjOC8Y9mGtX3RwbxmUz22syQwqywi8zW3S2hBhNpenr0BNQ/mask.png",
      "image": "https://replicate.delivery/pbxt/JgjOBbFHeuACIEKQdjthg9VnXf5Kxz5W0MQHn25cdW0xNkVP/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead with pink and green hair in a Cyberpunk dive bar bathroom covered in graffiti, Blade Runner, Trainspotting, and Fight Club vibes",
      "refine": "base_image_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 25,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2 minutes 14 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

zvuzkvlb2ggev72o33hr3uh75i

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 40s

Created

over 1 year ago

Input

mask: null
image
width: 928
height: 1312
prompt: Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": null,
  "image": "https://replicate.delivery/pbxt/JgkKPVcf9I0JIUXmiNp4OT0JdgnxKvZ9wIgEeYv2wqyCjsGa/mask.png",
  "width": 928,
  "height": 1312,
  "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JgkKPVcf9I0JIUXmiNp4OT0JdgnxKvZ9wIgEeYv2wqyCjsGa/mask.png",
      width: 928,
      height: 1312,
      prompt: "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JgkKPVcf9I0JIUXmiNp4OT0JdgnxKvZ9wIgEeYv2wqyCjsGa/mask.png",
        "width": 928,
        "height": 1312,
        "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JgkKPVcf9I0JIUXmiNp4OT0JdgnxKvZ9wIgEeYv2wqyCjsGa/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JgkKPVcf9I0JIUXmiNp4OT0JdgnxKvZ9wIgEeYv2wqyCjsGa/mask.png"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JgkKPVcf9I0JIUXmiNp4OT0JdgnxKvZ9wIgEeYv2wqyCjsGa/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1 minute 39 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

zywtuqdbzpo2anieehx73l6qum

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 6s

Created

over 1 year ago

Input

mask
image: null
width: 928
height: 1312
prompt: Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/JgkdDTZiZQlAmgNDBVNa7jMiDmqjbWr1aMxBYprG1FgQAeFi/mask.png",
  "image": null,
  "width": 928,
  "height": 1312,
  "prompt": "Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JgkdDTZiZQlAmgNDBVNa7jMiDmqjbWr1aMxBYprG1FgQAeFi/mask.png",
      width: 928,
      height: 1312,
      prompt: "Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JgkdDTZiZQlAmgNDBVNa7jMiDmqjbWr1aMxBYprG1FgQAeFi/mask.png",
        "width": 928,
        "height": 1312,
        "prompt": "Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JgkdDTZiZQlAmgNDBVNa7jMiDmqjbWr1aMxBYprG1FgQAeFi/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JgkdDTZiZQlAmgNDBVNa7jMiDmqjbWr1aMxBYprG1FgQAeFi/mask.png"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JgkdDTZiZQlAmgNDBVNa7jMiDmqjbWr1aMxBYprG1FgQAeFi/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead with pink and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2 minutes

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

63mehi3ba3cetmn4i7uaim6jn4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 40s

Created

over 1 year ago

Input

mask
image
width: 928
height: 1312
prompt: Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/Jgkoo8PlW9kUclIu0nXtxeP6XO5XuhfWFoYYrJlT7C5vavXq/mask.png",
  "image": "https://replicate.delivery/pbxt/JgkooLrnZPM5InFd5tzg7G3cSprBQtjJwoZkFPeYpl4h9LEc/mask.png",
  "width": 928,
  "height": 1312,
  "prompt": "Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/Jgkoo8PlW9kUclIu0nXtxeP6XO5XuhfWFoYYrJlT7C5vavXq/mask.png",
      image: "https://replicate.delivery/pbxt/JgkooLrnZPM5InFd5tzg7G3cSprBQtjJwoZkFPeYpl4h9LEc/mask.png",
      width: 928,
      height: 1312,
      prompt: "Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/Jgkoo8PlW9kUclIu0nXtxeP6XO5XuhfWFoYYrJlT7C5vavXq/mask.png",
        "image": "https://replicate.delivery/pbxt/JgkooLrnZPM5InFd5tzg7G3cSprBQtjJwoZkFPeYpl4h9LEc/mask.png",
        "width": 928,
        "height": 1312,
        "prompt": "Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/Jgkoo8PlW9kUclIu0nXtxeP6XO5XuhfWFoYYrJlT7C5vavXq/mask.png",
      "image": "https://replicate.delivery/pbxt/JgkooLrnZPM5InFd5tzg7G3cSprBQtjJwoZkFPeYpl4h9LEc/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/Jgkoo8PlW9kUclIu0nXtxeP6XO5XuhfWFoYYrJlT7C5vavXq/mask.png"' \
  -i 'image="https://replicate.delivery/pbxt/JgkooLrnZPM5InFd5tzg7G3cSprBQtjJwoZkFPeYpl4h9LEc/mask.png"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/Jgkoo8PlW9kUclIu0nXtxeP6XO5XuhfWFoYYrJlT7C5vavXq/mask.png",
      "image": "https://replicate.delivery/pbxt/JgkooLrnZPM5InFd5tzg7G3cSprBQtjJwoZkFPeYpl4h9LEc/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T20:59:54.186641Z",
  "created_at": "2023-10-12T20:58:14.050833Z",
  "data_removed": false,
  "error": null,
  "id": "63mehi3ba3cetmn4i7uaim6jn4",
  "input": {
    "mask": "https://replicate.delivery/pbxt/Jgkoo8PlW9kUclIu0nXtxeP6XO5XuhfWFoYYrJlT7C5vavXq/mask.png",
    "image": "https://replicate.delivery/pbxt/JgkooLrnZPM5InFd5tzg7G3cSprBQtjJwoZkFPeYpl4h9LEc/mask.png",
    "width": 928,
    "height": 1312,
    "prompt": "Mary Elizabeth Winstead with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": null,
  "metrics": {
    "predict_time": 98.4445,
    "total_time": 100.135808
  },
  "output": [
    "https://pbxt.replicate.delivery/IFLJwtZK4sJNPlPtfy4ywxCmsxLamwfT9jm8hpbi0tkIBhtRA/out-0.png",
    "https://pbxt.replicate.delivery/4VSpidGlCSKmDtsxjTUYuRTcY20JhP8voEsWZJuE9hRSQYbE/out-1.png",
    "https://pbxt.replicate.delivery/7YFiCsrIdSJtC9fIDxZeDaCcO8sUtdLFX2qbi3NazBLJBhtRA/out-2.png",
    "https://pbxt.replicate.delivery/vwBnbRVlGdKTGhjwKe1qmJhcj8fV810fxvnPVXmNnWRSCCbjA/out-3.png"
  ],
  "started_at": "2023-10-12T20:58:15.742141Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/63mehi3ba3cetmn4i7uaim6jn4",
    "cancel": "https://api.replicate.com/v1/predictions/63mehi3ba3cetmn4i7uaim6jn4/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 38 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

exleh23b4xuszclg73jqs6q3rm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 10s

Created

over 1 year ago

Input

mask: null
image
width: 928
height: 1312
prompt: Jenna Ortega with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": null,
  "image": "https://replicate.delivery/pbxt/Jgkt2oTs74Ixw5ynZyGTP0pAlb9Wr1B0oLcUj1VsXk85ozJh/mask.png",
  "width": 928,
  "height": 1312,
  "prompt": "Jenna Ortega with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Jgkt2oTs74Ixw5ynZyGTP0pAlb9Wr1B0oLcUj1VsXk85ozJh/mask.png",
      width: 928,
      height: 1312,
      prompt: "Jenna Ortega with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/Jgkt2oTs74Ixw5ynZyGTP0pAlb9Wr1B0oLcUj1VsXk85ozJh/mask.png",
        "width": 928,
        "height": 1312,
        "prompt": "Jenna Ortega with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/Jgkt2oTs74Ixw5ynZyGTP0pAlb9Wr1B0oLcUj1VsXk85ozJh/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Jenna Ortega with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/Jgkt2oTs74Ixw5ynZyGTP0pAlb9Wr1B0oLcUj1VsXk85ozJh/mask.png"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="Jenna Ortega with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/Jgkt2oTs74Ixw5ynZyGTP0pAlb9Wr1B0oLcUj1VsXk85ozJh/mask.png",
      "width": 928,
      "height": 1312,
      "prompt": "Jenna Ortega with magenta and green hair taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, b&w, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1 minute 36 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

dmfenwlb4lejr73ayvhozwcnsi

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

72.0s

Created

over 1 year ago

Input

mask: null
image
width: 896
height: 1344
prompt: Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": null,
  "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
  "width": 896,
  "height": 1344,
  "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      width: 896,
      height: 1344,
      prompt: "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
        "width": 896,
        "height": 1344,
        "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

65.8 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

kjnkfb3bxzrug3n26llrxhnbf4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

69.0s

Created

over 1 year ago

Input

mask: null
image
width: 896
height: 1344
prompt: Mary Elizabeth Winstead in a Cyberpunk bar covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": null,
  "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
  "width": 896,
  "height": 1344,
  "prompt": "Mary Elizabeth Winstead in a Cyberpunk bar covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      width: 896,
      height: 1344,
      prompt: "Mary Elizabeth Winstead in a Cyberpunk bar covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
        "width": 896,
        "height": 1344,
        "prompt": "Mary Elizabeth Winstead in a Cyberpunk bar covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead in a Cyberpunk bar covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Mary Elizabeth Winstead in a Cyberpunk bar covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead in a Cyberpunk bar covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

65.2 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

hkmt6kdba6l54r2yah5jr4s7uu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 45s

Created

over 1 year ago

Input

mask
image
width: 896
height: 1344
prompt: Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/Jgl8JUsWzhVYl6f4BDlXxgnUg2a6ln9E8rVhDCOmrADTY2CI/mask.png",
  "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
  "width": 896,
  "height": 1344,
  "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/Jgl8JUsWzhVYl6f4BDlXxgnUg2a6ln9E8rVhDCOmrADTY2CI/mask.png",
      image: "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      width: 896,
      height: 1344,
      prompt: "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/Jgl8JUsWzhVYl6f4BDlXxgnUg2a6ln9E8rVhDCOmrADTY2CI/mask.png",
        "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
        "width": 896,
        "height": 1344,
        "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/Jgl8JUsWzhVYl6f4BDlXxgnUg2a6ln9E8rVhDCOmrADTY2CI/mask.png",
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/Jgl8JUsWzhVYl6f4BDlXxgnUg2a6ln9E8rVhDCOmrADTY2CI/mask.png"' \
  -i 'image="https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg"' \
  -i 'width=896' \
  -i 'height=1344' \
  -i 'prompt="Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/Jgl8JUsWzhVYl6f4BDlXxgnUg2a6ln9E8rVhDCOmrADTY2CI/mask.png",
      "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
      "width": 896,
      "height": 1344,
      "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T21:20:34.043136Z",
  "created_at": "2023-10-12T21:18:49.082254Z",
  "data_removed": false,
  "error": null,
  "id": "hkmt6kdba6l54r2yah5jr4s7uu",
  "input": {
    "mask": "https://replicate.delivery/pbxt/Jgl8JUsWzhVYl6f4BDlXxgnUg2a6ln9E8rVhDCOmrADTY2CI/mask.png",
    "image": "https://replicate.delivery/pbxt/JcVjD0koWAdkXyW7URZtzs1yOSsJwyDFr3Esz2KV63gUmGpo/28C78391-7B9D-40C9-9BAD-03F3FE557DD5_1_105_c.jpeg",
    "width": 896,
    "height": 1344,
    "prompt": "Mary Elizabeth Winstead taking a selfie in a Cyberpunk dive bar bathroom covered with graffiti, Fight Club, Trainspotting, Blade Runner vibes",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": null,
  "metrics": {
    "predict_time": 102.858538,
    "total_time": 104.960882
  },
  "output": [
    "https://pbxt.replicate.delivery/qopDByboZQ6uGJmzzYRVKB3YudIVJbovic0fI4V5QWbQqw2IA/out-0.png",
    "https://pbxt.replicate.delivery/lZmXRCBq6gIyCV5KWRoQGK6xxnyJmV7yo9nSUelFHgaQqw2IA/out-1.png",
    "https://pbxt.replicate.delivery/G4R9V2mosf22XKM3efUCo23fK8q8MMdpocPIkWsaLHCHSF2GB/out-2.png",
    "https://pbxt.replicate.delivery/o62CHSRRWMY9Ld3op2ItBTMNYhRvD1Wc32bRm35Q6fnQqw2IA/out-3.png"
  ],
  "started_at": "2023-10-12T21:18:51.184598Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/hkmt6kdba6l54r2yah5jr4s7uu",
    "cancel": "https://api.replicate.com/v1/predictions/hkmt6kdba6l54r2yah5jr4s7uu/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 43 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

o6pvgudbjxmatqxqcz22pheaoi

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 13s

Created

over 1 year ago

Input

mask
image: null
width: 928
height: 1312
prompt: in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
  "image": null,
  "width": 928,
  "height": 1312,
  "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      width: 928,
      height: 1312,
      prompt: "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
        "width": 928,
        "height": 1312,
        "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, "' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T21:25:49.665177Z",
  "created_at": "2023-10-12T21:23:36.497133Z",
  "data_removed": false,
  "error": null,
  "id": "o6pvgudbjxmatqxqcz22pheaoi",
  "input": {
    "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
    "image": null,
    "width": 928,
    "height": 1312,
    "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead in Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": null,
  "metrics": {
    "predict_time": 127.788786,
    "total_time": 133.168044
  },
  "output": [
    "https://pbxt.replicate.delivery/fXtZ2IhWLhz6W6StIeD3v8ca3oS0eG7jXuSuxj5knO43yCbjA/out-0.png",
    "https://pbxt.replicate.delivery/AMnkSe1wo9RRTiqZFAbjKBDf7NCHMgRrGauluSXdQ3ccZhtRA/out-1.png",
    "https://pbxt.replicate.delivery/5gYZa5W6gq7BIFh3ZZ39pLUb2mVTO7OWbFt7o0emBwXusw2IA/out-2.png",
    "https://pbxt.replicate.delivery/HFBQYlCwlpakOV27YyGYlmCrojulRN2aagf1yHQ5eaOdZhtRA/out-3.png"
  ],
  "started_at": "2023-10-12T21:23:41.876391Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/o6pvgudbjxmatqxqcz22pheaoi",
    "cancel": "https://api.replicate.com/v1/predictions/o6pvgudbjxmatqxqcz22pheaoi/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

2 minutes 8 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

g53agclb4ov4ijr2ynpbgfdu54

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 9s

Created

over 1 year ago

Input

mask
image: null
width: 928
height: 1312
prompt: in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
  "image": null,
  "width": 928,
  "height": 1312,
  "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      width: 928,
      height: 1312,
      prompt: "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
        "width": 928,
        "height": 1312,
        "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, "' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-12T21:31:33.488830Z",
  "created_at": "2023-10-12T21:29:24.978887Z",
  "data_removed": false,
  "error": null,
  "id": "g53agclb4ov4ijr2ynpbgfdu54",
  "input": {
    "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
    "image": null,
    "width": 928,
    "height": 1312,
    "prompt": "in total darkness iPhone is the only source of illumination of cyberpunk Mary Elizabeth Winstead with pink and green hairin Cracked smashed mirrors and mirror fragments of a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": null,
  "metrics": {
    "predict_time": 127.478349,
    "total_time": 128.509943
  },
  "output": [
    "https://pbxt.replicate.delivery/e3npFionfWqiLUfsFDJUr1LoCw80wCjebLUjt2Nvetxc2LsNC/out-0.png",
    "https://pbxt.replicate.delivery/xXLCPGCgG646OlpDZgC5l8bcoJmyrak41EYoCmVdaqDtXYbE/out-1.png",
    "https://pbxt.replicate.delivery/5PztMbyr4lKnJlU3j5J3R05yPVhS906qCBfVv6INVJIavw2IA/out-2.png",
    "https://pbxt.replicate.delivery/3e1jtBlPeXgBAkljt5L7f0qqE8WjRVQn6bqMnf8RCIcU7F2GB/out-3.png"
  ],
  "started_at": "2023-10-12T21:29:26.010481Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/g53agclb4ov4ijr2ynpbgfdu54",
    "cancel": "https://api.replicate.com/v1/predictions/g53agclb4ov4ijr2ynpbgfdu54/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

2 minutes 7 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

bwnhdrtbka4lsdmbnifyjexwm4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 19s

Created

over 1 year ago

Input

mask
image: null
width: 928
height: 1312
prompt: cyberpunk Mary Elizabeth Winstead with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic,
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
  "image": null,
  "width": 928,
  "height": 1312,
  "prompt": "cyberpunk Mary Elizabeth Winstead with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      width: 928,
      height: 1312,
      prompt: "cyberpunk Mary Elizabeth Winstead with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
        "width": 928,
        "height": 1312,
        "prompt": "cyberpunk Mary Elizabeth Winstead with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "cyberpunk Mary Elizabeth Winstead with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="cyberpunk Mary Elizabeth Winstead with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, "' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcV2nlc4fJYVEFOPz5XjMsMZzG6Cj8Ee2cWi1Vz30addzNqu/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "cyberpunk Mary Elizabeth Winstead with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti, dazed, distressed, photorealistic, ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2 minutes 8 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

3j47bvdbshldvpaym3pzqf7sxu

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 56s

Created

over 1 year ago

Input

mask
image: null
width: 928
height: 1232
prompt: cyberpunk Natalie Portman with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti in the style of Blade Runner
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 15
apply_watermark
high_noise_frac: 0.8
negative_prompt: dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 100

{
  "mask": "https://replicate.delivery/pbxt/JglTlHxIie7d4fyOYmM7SRVQjyJ6JOzV0wHPLcgvWWxitriQ/mask.png",
  "image": null,
  "width": 928,
  "height": 1232,
  "prompt": " cyberpunk Natalie Portman with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti in the style of Blade Runner",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 15,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JglTlHxIie7d4fyOYmM7SRVQjyJ6JOzV0wHPLcgvWWxitriQ/mask.png",
      width: 928,
      height: 1232,
      prompt: " cyberpunk Natalie Portman with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti in the style of Blade Runner",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 15,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JglTlHxIie7d4fyOYmM7SRVQjyJ6JOzV0wHPLcgvWWxitriQ/mask.png",
        "width": 928,
        "height": 1232,
        "prompt": " cyberpunk Natalie Portman with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti in the style of Blade Runner",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 15,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JglTlHxIie7d4fyOYmM7SRVQjyJ6JOzV0wHPLcgvWWxitriQ/mask.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk Natalie Portman with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti in the style of Blade Runner",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JglTlHxIie7d4fyOYmM7SRVQjyJ6JOzV0wHPLcgvWWxitriQ/mask.png"' \
  -i 'width=928' \
  -i 'height=1232' \
  -i 'prompt=" cyberpunk Natalie Portman with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti in the style of Blade Runner"' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=15' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JglTlHxIie7d4fyOYmM7SRVQjyJ6JOzV0wHPLcgvWWxitriQ/mask.png",
      "width": 928,
      "height": 1232,
      "prompt": " cyberpunk Natalie Portman with pink and green hair taking a selfie in a dive bar bathroom covered with graffiti in the style of Blade Runner",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 15,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "dull, deformed, Black and White, black&white, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1 minute 55 seconds

Tweak it ShareReport

Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

jz4ab33bpojbwp7j5k3x3vng6u

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

Created

over 1 year ago

Input

image
width: 928
height: 1312
prompt: cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic
refine: expert_ensemble_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.7
num_outputs: 4
guidance_scale: 12
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 1
num_inference_steps: 100

{
  "image": "https://replicate.delivery/pbxt/JcU38Yo5cs4bGxYoiAltB3AIgEpOjMvz2otQerpqWz48wDJp/8673067A-F98E-41EE-B22D-DD699306D03F_1_105_c.jpeg",
  "width": 928,
  "height": 1312,
  "prompt": "cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.7,
  "num_outputs": 4,
  "guidance_scale": 12,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 1,
  "num_inference_steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JcU38Yo5cs4bGxYoiAltB3AIgEpOjMvz2otQerpqWz48wDJp/8673067A-F98E-41EE-B22D-DD699306D03F_1_105_c.jpeg",
      width: 928,
      height: 1312,
      prompt: "cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.7,
      num_outputs: 4,
      guidance_scale: 12,
      apply_watermark: false,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 1,
      num_inference_steps: 100
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "image": "https://replicate.delivery/pbxt/JcU38Yo5cs4bGxYoiAltB3AIgEpOjMvz2otQerpqWz48wDJp/8673067A-F98E-41EE-B22D-DD699306D03F_1_105_c.jpeg",
        "width": 928,
        "height": 1312,
        "prompt": "cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.7,
        "num_outputs": 4,
        "guidance_scale": 12,
        "apply_watermark": False,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 1,
        "num_inference_steps": 100
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "image": "https://replicate.delivery/pbxt/JcU38Yo5cs4bGxYoiAltB3AIgEpOjMvz2otQerpqWz48wDJp/8673067A-F98E-41EE-B22D-DD699306D03F_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 12,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 1,
      "num_inference_steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'image="https://replicate.delivery/pbxt/JcU38Yo5cs4bGxYoiAltB3AIgEpOjMvz2otQerpqWz48wDJp/8673067A-F98E-41EE-B22D-DD699306D03F_1_105_c.jpeg"' \
  -i 'width=928' \
  -i 'height=1312' \
  -i 'prompt="cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic "' \
  -i 'refine="expert_ensemble_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.7' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12' \
  -i 'apply_watermark=false' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=1' \
  -i 'num_inference_steps=100'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/JcU38Yo5cs4bGxYoiAltB3AIgEpOjMvz2otQerpqWz48wDJp/8673067A-F98E-41EE-B22D-DD699306D03F_1_105_c.jpeg",
      "width": 928,
      "height": 1312,
      "prompt": "cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.7,
      "num_outputs": 4,
      "guidance_scale": 12,
      "apply_watermark": false,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 1,
      "num_inference_steps": 100
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T20:15:43.647401Z",
  "created_at": "2023-09-30T20:13:38.778845Z",
  "data_removed": false,
  "error": null,
  "id": "jz4ab33bpojbwp7j5k3x3vng6u",
  "input": {
    "image": "https://replicate.delivery/pbxt/JcU38Yo5cs4bGxYoiAltB3AIgEpOjMvz2otQerpqWz48wDJp/8673067A-F98E-41EE-B22D-DD699306D03F_1_105_c.jpeg",
    "width": 928,
    "height": 1312,
    "prompt": "cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic ",
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.7,
    "num_outputs": 4,
    "guidance_scale": 12,
    "apply_watermark": false,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 1,
    "num_inference_steps": 100
  },
  "logs": "Using seed: 21743\nPrompt: cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic\nimg2img mode\n  0%|          | 0/80 [00:00<?, ?it/s]\n  1%|▏         | 1/80 [00:00<00:59,  1.33it/s]\n  2%|▎         | 2/80 [00:01<00:58,  1.33it/s]\n  4%|▍         | 3/80 [00:02<00:57,  1.33it/s]\n  5%|▌         | 4/80 [00:03<00:57,  1.33it/s]\n  6%|▋         | 5/80 [00:03<00:56,  1.33it/s]\n  8%|▊         | 6/80 [00:04<00:55,  1.33it/s]\n  9%|▉         | 7/80 [00:05<00:54,  1.33it/s]\n 10%|█         | 8/80 [00:06<00:54,  1.33it/s]\n 11%|█▏        | 9/80 [00:06<00:53,  1.33it/s]\n 12%|█▎        | 10/80 [00:07<00:52,  1.33it/s]\n 14%|█▍        | 11/80 [00:08<00:52,  1.33it/s]\n 15%|█▌        | 12/80 [00:09<00:51,  1.33it/s]\n 16%|█▋        | 13/80 [00:09<00:50,  1.32it/s]\n 18%|█▊        | 14/80 [00:10<00:49,  1.32it/s]\n 19%|█▉        | 15/80 [00:11<00:48,  1.33it/s]\n 20%|██        | 16/80 [00:12<00:48,  1.33it/s]\n 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  "metrics": {
    "predict_time": 77.892292,
    "total_time": 124.868556
  },
  "output": [
    "https://pbxt.replicate.delivery/sOQPTYD92k6ICNiY0SxOsFau3PMhlX2OSq5A26CofDO3nx0IA/out-0.png",
    "https://pbxt.replicate.delivery/OPs29DLX5QazNR8dgQnL6MZlGa52pyTzIrutqfvIfnsuPjpRA/out-1.png",
    "https://pbxt.replicate.delivery/mo3XaGBSuILaPt3yjC0A3U8iLAyQb8WX9qj0YiUbdc77zYaE/out-2.png",
    "https://pbxt.replicate.delivery/6jGKnzFCGt7PFNMrImdjQOYQjGaIdxiya1c0xKgL3k77zYaE/out-3.png"
  ],
  "started_at": "2023-09-30T20:14:25.755109Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jz4ab33bpojbwp7j5k3x3vng6u",
    "cancel": "https://api.replicate.com/v1/predictions/jz4ab33bpojbwp7j5k3x3vng6u/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

77.9 seconds

Tweak it ShareReport

Using seed: 21743
Prompt: cyberpunk twin girls in the mirror of a dive bar bathroom covered with graffiti, I-d dazed editorial, distressed, photorealistic
img2img mode
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Prediction

diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10

Model

diaphinus/divebar:65feb91b

xicm7y3bsoswzzl33f2tfirq7y

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1m 49s

Created

over 1 year ago

Input

mask
image: null
width: 1024
height: 1024
prompt: cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial
refine: no_refiner
scheduler: K_EULER_ANCESTRAL
lora_scale: 0.6
num_outputs: 4
guidance_scale: 12.25
apply_watermark
high_noise_frac: 0.8
negative_prompt: deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering
prompt_strength: 0.8
num_inference_steps: 101

{
  "mask": "https://replicate.delivery/pbxt/JcUoKJJKWoUZYHMuA6VvUWhNGg3C01cgp8ubs2zga9MwVf7u/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
  "image": null,
  "width": 1024,
  "height": 1024,
  "prompt": "cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial ",
  "refine": "no_refiner",
  "scheduler": "K_EULER_ANCESTRAL",
  "lora_scale": 0.6,
  "num_outputs": 4,
  "guidance_scale": 12.25,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
  "prompt_strength": 0.8,
  "num_inference_steps": 101
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JcUoKJJKWoUZYHMuA6VvUWhNGg3C01cgp8ubs2zga9MwVf7u/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      width: 1024,
      height: 1024,
      prompt: "cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial ",
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      lora_scale: 0.6,
      num_outputs: 4,
      guidance_scale: 12.25,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      prompt_strength: 0.8,
      num_inference_steps: 101
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    input={
        "mask": "https://replicate.delivery/pbxt/JcUoKJJKWoUZYHMuA6VvUWhNGg3C01cgp8ubs2zga9MwVf7u/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
        "width": 1024,
        "height": 1024,
        "prompt": "cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial ",
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "lora_scale": 0.6,
        "num_outputs": 4,
        "guidance_scale": 12.25,
        "apply_watermark": True,
        "high_noise_frac": 0.8,
        "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
        "prompt_strength": 0.8,
        "num_inference_steps": 101
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run diaphinus/divebar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "diaphinus/divebar:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcUoKJJKWoUZYHMuA6VvUWhNGg3C01cgp8ubs2zga9MwVf7u/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 1024,
      "height": 1024,
      "prompt": "cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10 \
  -i 'mask="https://replicate.delivery/pbxt/JcUoKJJKWoUZYHMuA6VvUWhNGg3C01cgp8ubs2zga9MwVf7u/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg"' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'prompt="cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial "' \
  -i 'refine="no_refiner"' \
  -i 'scheduler="K_EULER_ANCESTRAL"' \
  -i 'lora_scale=0.6' \
  -i 'num_outputs=4' \
  -i 'guidance_scale=12.25' \
  -i 'apply_watermark=true' \
  -i 'high_noise_frac=0.8' \
  -i 'negative_prompt="deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=101'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/diaphinus/divebar@sha256:65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mask": "https://replicate.delivery/pbxt/JcUoKJJKWoUZYHMuA6VvUWhNGg3C01cgp8ubs2zga9MwVf7u/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
      "width": 1024,
      "height": 1024,
      "prompt": "cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial ",
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "lora_scale": 0.6,
      "num_outputs": 4,
      "guidance_scale": 12.25,
      "apply_watermark": true,
      "high_noise_frac": 0.8,
      "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
      "prompt_strength": 0.8,
      "num_inference_steps": 101
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-09-30T21:05:14.954672Z",
  "created_at": "2023-09-30T21:03:26.355004Z",
  "data_removed": false,
  "error": null,
  "id": "xicm7y3bsoswzzl33f2tfirq7y",
  "input": {
    "mask": "https://replicate.delivery/pbxt/JcUoKJJKWoUZYHMuA6VvUWhNGg3C01cgp8ubs2zga9MwVf7u/B7C62ECF-3225-458E-AAAC-0DE269D9CE66_1_105_c.jpeg",
    "image": null,
    "width": 1024,
    "height": 1024,
    "prompt": "cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial ",
    "refine": "no_refiner",
    "scheduler": "K_EULER_ANCESTRAL",
    "lora_scale": 0.6,
    "num_outputs": 4,
    "guidance_scale": 12.25,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "deformed, noisy, low-poly, blurry, doubles, painting, scribbles, drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly, low contrast, cartoon rendering",
    "prompt_strength": 0.8,
    "num_inference_steps": 101
  },
  "logs": "Using seed: 9218\nPrompt: cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial\ntxt2img mode\n  0%|          | 0/101 [00:00<?, ?it/s]\n  1%|          | 1/101 [00:00<01:39,  1.00it/s]\n  2%|▏         | 2/101 [00:02<01:39,  1.00s/it]\n  3%|▎         | 3/101 [00:03<01:38,  1.00s/it]\n  4%|▍         | 4/101 [00:04<01:37,  1.00s/it]\n  5%|▍         | 5/101 [00:05<01:36,  1.00s/it]\n  6%|▌         | 6/101 [00:06<01:35,  1.00s/it]\n  7%|▋         | 7/101 [00:07<01:34,  1.00s/it]\n  8%|▊         | 8/101 [00:08<01:33,  1.01s/it]\n  9%|▉         | 9/101 [00:09<01:32,  1.00s/it]\n 10%|▉         | 10/101 [00:10<01:31,  1.00s/it]\n 11%|█         | 11/101 [00:11<01:30,  1.00s/it]\n 12%|█▏        | 12/101 [00:12<01:29,  1.00s/it]\n 13%|█▎        | 13/101 [00:13<01:28,  1.00s/it]\n 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  "metrics": {
    "predict_time": 108.659441,
    "total_time": 108.599668
  },
  "output": [
    "https://pbxt.replicate.delivery/VIjqIilhhYLSDVdeEeKwCetm8FtuGD1LKyDSUavH53GR8HTjA/out-0.png",
    "https://pbxt.replicate.delivery/jehtfOzQvNtUz00hOONo87Ont6rfvOicuHfPnID66rLm4PmGB/out-1.png",
    "https://pbxt.replicate.delivery/fcXIJ37nG5wsFSAFAWRKcRlDMaNBI2CeAXWIC9dH0sKKeHTjA/out-2.png",
    "https://pbxt.replicate.delivery/j8qwFtoyOB59NV3QuEtXV4CJv9dklHIycrl556HzfpDFfjpRA/out-3.png"
  ],
  "started_at": "2023-09-30T21:03:26.295231Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xicm7y3bsoswzzl33f2tfirq7y",
    "cancel": "https://api.replicate.com/v1/predictions/xicm7y3bsoswzzl33f2tfirq7y/cancel"
  },
  "version": "65feb91b9b1698fbba92ae93d0ab65e49490b15d0f86b92260e0d7c8c1bc7f10"
}

Generated in

1 minute 49 seconds

Tweak it ShareReport

Using seed: 9218
Prompt: cyberpunk twin girls in Cracked smashed mirror and mirror fragments of a dive bar bathroom covered with graffiti, in total darkness, phone illuminates her face, photographed by Diane Arbus and Sylvia Plachy dimly lit, distressed, photorealistic, i-d dazed editorial
txt2img mode
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