Prediction

Model

organisciak/rad-posters:c765170f

faaripdbnieij37xelm3mm5ol4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

10.8s

Created

about 2 years ago by organisciak

Webhook

–

Input

prompt: poster illustration of a skull, limited edition print
negative_prompt: text, heading
width: 768
height: 1024
num_outputs: 1
scheduler: K_EULER
num_inference_steps: 50
guidance_scale: 7.5
prompt_strength: 0.62
seed: 23014
refine: expert_ensemble_refiner
high_noise_frac: 0.77
apply_watermark: true
lora_scale: 0.02

{
  "apply_watermark": true,
  "guidance_scale": 7.5,
  "height": 1024,
  "high_noise_frac": 0.77,
  "lora_scale": 0.02,
  "negative_prompt": "text, heading",
  "num_inference_steps": 50,
  "num_outputs": 1,
  "prompt": "poster illustration of a skull, limited edition print",
  "prompt_strength": 0.62,
  "refine": "expert_ensemble_refiner",
  "scheduler": "K_EULER",
  "seed": 23014,
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_KUD**********************************

This is your API token. Keep it to yourself.

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 organisciak/rad-posters using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "organisciak/rad-posters:c765170f1a906ca7ccd849dcd8c477ea54f72540d37d1f2b109f3dc64132fbb5",
  {
    input: {
      apply_watermark: true,
      guidance_scale: 7.5,
      height: 1024,
      high_noise_frac: 0.77,
      lora_scale: 0.02,
      negative_prompt: "text, heading",
      num_inference_steps: 50,
      num_outputs: 1,
      prompt: "poster illustration of a skull, limited edition print",
      prompt_strength: 0.62,
      refine: "expert_ensemble_refiner",
      scheduler: "K_EULER",
      seed: 23014,
      width: 768
    }
  }
);

// 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_KUD**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run organisciak/rad-posters using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "organisciak/rad-posters:c765170f1a906ca7ccd849dcd8c477ea54f72540d37d1f2b109f3dc64132fbb5",
    input={
        "apply_watermark": True,
        "guidance_scale": 7.5,
        "height": 1024,
        "high_noise_frac": 0.77,
        "lora_scale": 0.02,
        "negative_prompt": "text, heading",
        "num_inference_steps": 50,
        "num_outputs": 1,
        "prompt": "poster illustration of a skull, limited edition print",
        "prompt_strength": 0.62,
        "refine": "expert_ensemble_refiner",
        "scheduler": "K_EULER",
        "seed": 23014,
        "width": 768
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_KUD**********************************

This is your API token. Keep it to yourself.

Run organisciak/rad-posters 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": "organisciak/rad-posters:c765170f1a906ca7ccd849dcd8c477ea54f72540d37d1f2b109f3dc64132fbb5",
    "input": {
      "apply_watermark": true,
      "guidance_scale": 7.5,
      "height": 1024,
      "high_noise_frac": 0.77,
      "lora_scale": 0.02,
      "negative_prompt": "text, heading",
      "num_inference_steps": 50,
      "num_outputs": 1,
      "prompt": "poster illustration of a skull, limited edition print",
      "prompt_strength": 0.62,
      "refine": "expert_ensemble_refiner",
      "scheduler": "K_EULER",
      "seed": 23014,
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "faaripdbnieij37xelm3mm5ol4",
  "model": "organisciak/rad-posters",
  "version": "c765170f1a906ca7ccd849dcd8c477ea54f72540d37d1f2b109f3dc64132fbb5",
  "input": {
    "apply_watermark": true,
    "guidance_scale": 7.5,
    "height": 1024,
    "high_noise_frac": 0.77,
    "lora_scale": 0.02,
    "negative_prompt": "text, heading",
    "num_inference_steps": 50,
    "num_outputs": 1,
    "prompt": "poster illustration of a skull, limited edition print",
    "prompt_strength": 0.62,
    "refine": "expert_ensemble_refiner",
    "scheduler": "K_EULER",
    "seed": 23014,
    "width": 768
  },
  "logs": "Using seed: 23014\nPrompt: poster illustration of a skull, limited edition print\ntxt2img mode\n  0%|          | 0/38 [00:00<?, ?it/s]\n  3%|▎         | 1/38 [00:00<00:07,  4.97it/s]\n  5%|▌         | 2/38 [00:00<00:07,  4.96it/s]\n  8%|▊         | 3/38 [00:00<00:07,  4.95it/s]\n 11%|█         | 4/38 [00:00<00:06,  4.95it/s]\n 13%|█▎        | 5/38 [00:01<00:06,  4.94it/s]\n 16%|█▌        | 6/38 [00:01<00:06,  4.94it/s]\n 18%|█▊        | 7/38 [00:01<00:06,  4.93it/s]\n 21%|██        | 8/38 [00:01<00:06,  4.93it/s]\n 24%|██▎       | 9/38 [00:01<00:05,  4.93it/s]\n 26%|██▋       | 10/38 [00:02<00:05,  4.93it/s]\n 29%|██▉       | 11/38 [00:02<00:05,  4.93it/s]\n 32%|███▏      | 12/38 [00:02<00:05,  4.93it/s]\n 34%|███▍      | 13/38 [00:02<00:05,  4.93it/s]\n 37%|███▋      | 14/38 [00:02<00:04,  4.92it/s]\n 39%|███▉      | 15/38 [00:03<00:04,  4.92it/s]\n 42%|████▏     | 16/38 [00:03<00:04,  4.93it/s]\n 45%|████▍     | 17/38 [00:03<00:04,  4.93it/s]\n 47%|████▋     | 18/38 [00:03<00:04,  4.93it/s]\n 50%|█████     | 19/38 [00:03<00:03,  4.92it/s]\n 53%|█████▎    | 20/38 [00:04<00:03,  4.92it/s]\n 55%|█████▌    | 21/38 [00:04<00:03,  4.93it/s]\n 58%|█████▊    | 22/38 [00:04<00:03,  4.92it/s]\n 61%|██████    | 23/38 [00:04<00:03,  4.92it/s]\n 63%|██████▎   | 24/38 [00:04<00:02,  4.92it/s]\n 66%|██████▌   | 25/38 [00:05<00:02,  4.93it/s]\n 68%|██████▊   | 26/38 [00:05<00:02,  4.93it/s]\n 71%|███████   | 27/38 [00:05<00:02,  4.94it/s]\n 74%|███████▎  | 28/38 [00:05<00:02,  4.94it/s]\n 76%|███████▋  | 29/38 [00:05<00:01,  4.94it/s]\n 79%|███████▉  | 30/38 [00:06<00:01,  4.95it/s]\n 82%|████████▏ | 31/38 [00:06<00:01,  4.95it/s]\n 84%|████████▍ | 32/38 [00:06<00:01,  4.95it/s]\n 87%|████████▋ | 33/38 [00:06<00:01,  4.95it/s]\n 89%|████████▉ | 34/38 [00:06<00:00,  4.95it/s]\n 92%|█████████▏| 35/38 [00:07<00:00,  4.95it/s]\n 95%|█████████▍| 36/38 [00:07<00:00,  4.95it/s]\n 97%|█████████▋| 37/38 [00:07<00:00,  4.95it/s]\n100%|██████████| 38/38 [00:07<00:00,  4.95it/s]\n100%|██████████| 38/38 [00:07<00:00,  4.94it/s]\n  0%|          | 0/12 [00:00<?, ?it/s]\n  8%|▊         | 1/12 [00:00<00:01,  6.22it/s]\n 17%|█▋        | 2/12 [00:00<00:01,  6.17it/s]\n 25%|██▌       | 3/12 [00:00<00:01,  6.16it/s]\n 33%|███▎      | 4/12 [00:00<00:01,  6.15it/s]\n 42%|████▏     | 5/12 [00:00<00:01,  6.16it/s]\n 50%|█████     | 6/12 [00:00<00:00,  6.15it/s]\n 58%|█████▊    | 7/12 [00:01<00:00,  6.14it/s]\n 67%|██████▋   | 8/12 [00:01<00:00,  6.14it/s]\n 75%|███████▌  | 9/12 [00:01<00:00,  6.14it/s]\n 83%|████████▎ | 10/12 [00:01<00:00,  6.14it/s]\n 92%|█████████▏| 11/12 [00:01<00:00,  6.14it/s]\n100%|██████████| 12/12 [00:01<00:00,  6.15it/s]\n100%|██████████| 12/12 [00:01<00:00,  6.15it/s]",
  "output": [
    "https://replicate.delivery/pbxt/zTCBe4rf6mmIUEBg6q4ReilZzc09aBwedxqQp2xYgmgLAkSGB/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-09-15T22:43:03.950087Z",
  "started_at": "2023-09-15T22:43:03.926267Z",
  "completed_at": "2023-09-15T22:43:14.722555Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/faaripdbnieij37xelm3mm5ol4/cancel",
    "get": "https://api.replicate.com/v1/predictions/faaripdbnieij37xelm3mm5ol4"
  },
  "metrics": {
    "predict_time": 10.796288,
    "total_time": 10.772468
  }
}

Generated in

10.8 seconds

Tweak it Report

Using seed: 23014 Prompt: poster illustration of a skull, limited edition print txt2img mode 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:00<00:07, 4.97it/s] 5%|▌ | 2/38 [00:00<00:07, 4.96it/s] 8%|▊ | 3/38 [00:00<00:07, 4.95it/s] 11%|█ | 4/38 [00:00<00:06, 4.95it/s] 13%|█▎ | 5/38 [00:01<00:06, 4.94it/s] 16%|█▌ | 6/38 [00:01<00:06, 4.94it/s] 18%|█▊ | 7/38 [00:01<00:06, 4.93it/s] 21%|██ | 8/38 [00:01<00:06, 4.93it/s] 24%|██▎ | 9/38 [00:01<00:05, 4.93it/s] 26%|██▋ | 10/38 [00:02<00:05, 4.93it/s] 29%|██▉ | 11/38 [00:02<00:05, 4.93it/s] 32%|███▏ | 12/38 [00:02<00:05, 4.93it/s] 34%|███▍ | 13/38 [00:02<00:05, 4.93it/s] 37%|███▋ | 14/38 [00:02<00:04, 4.92it/s] 39%|███▉ | 15/38 [00:03<00:04, 4.92it/s] 42%|████▏ | 16/38 [00:03<00:04, 4.93it/s] 45%|████▍ | 17/38 [00:03<00:04, 4.93it/s] 47%|████▋ | 18/38 [00:03<00:04, 4.93it/s] 50%|█████ | 19/38 [00:03<00:03, 4.92it/s] 53%|█████▎ | 20/38 [00:04<00:03, 4.92it/s] 55%|█████▌ | 21/38 [00:04<00:03, 4.93it/s] 58%|█████▊ | 22/38 [00:04<00:03, 4.92it/s] 61%|██████ | 23/38 [00:04<00:03, 4.92it/s] 63%|██████▎ | 24/38 [00:04<00:02, 4.92it/s] 66%|██████▌ | 25/38 [00:05<00:02, 4.93it/s] 68%|██████▊ | 26/38 [00:05<00:02, 4.93it/s] 71%|███████ | 27/38 [00:05<00:02, 4.94it/s] 74%|███████▎ | 28/38 [00:05<00:02, 4.94it/s] 76%|███████▋ | 29/38 [00:05<00:01, 4.94it/s] 79%|███████▉ | 30/38 [00:06<00:01, 4.95it/s] 82%|████████▏ | 31/38 [00:06<00:01, 4.95it/s] 84%|████████▍ | 32/38 [00:06<00:01, 4.95it/s] 87%|████████▋ | 33/38 [00:06<00:01, 4.95it/s] 89%|████████▉ | 34/38 [00:06<00:00, 4.95it/s] 92%|█████████▏| 35/38 [00:07<00:00, 4.95it/s] 95%|█████████▍| 36/38 [00:07<00:00, 4.95it/s] 97%|█████████▋| 37/38 [00:07<00:00, 4.95it/s] 100%|██████████| 38/38 [00:07<00:00, 4.95it/s] 100%|██████████| 38/38 [00:07<00:00, 4.94it/s] 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.22it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.17it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.16it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.15it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.16it/s] 50%|█████ | 6/12 [00:00<00:00, 6.15it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.14it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.14it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.14it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.14it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.14it/s] 100%|██████████| 12/12 [00:01<00:00, 6.15it/s] 100%|██████████| 12/12 [00:01<00:00, 6.15it/s]