Prediction

Model

lucataco/style-aligned:4ae87bee

avdn7nrbhnzisx2twbi7xxoe74

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

41.5s

Created

about 2 years ago

Webhook

–

Input

prompt: A man working on a laptop A man eats pizza A woman playing on saxophone
style_prompt: medieval painting
negative_prompt: low-resolution
image: https://replicate.delivery/pbxt/K23WY2plxah7r8TASoTXvBGH6nZVZmnrLXBlRNt3cP7DyoK3/medieval-bed.jpeg
image_subject: None
shared_score_shift: 2
shared_score_scale: 1
guidance_scale: 7
width: 768
height: 768
num_inference_steps: 50
seed: 7998

{
  "guidance_scale": 7,
  "height": 768,
  "image": "https://replicate.delivery/pbxt/K23WY2plxah7r8TASoTXvBGH6nZVZmnrLXBlRNt3cP7DyoK3/medieval-bed.jpeg",
  "image_subject": "None",
  "negative_prompt": "low-resolution",
  "num_inference_steps": 50,
  "prompt": "A man working on a laptop\nA man eats pizza\nA woman playing on saxophone",
  "seed": 7998,
  "shared_score_scale": 1,
  "shared_score_shift": 2,
  "style_prompt": "medieval painting",
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ZLb**********************************

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 lucataco/style-aligned using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/style-aligned:4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8",
  {
    input: {
      guidance_scale: 7,
      height: 768,
      image: "https://replicate.delivery/pbxt/K23WY2plxah7r8TASoTXvBGH6nZVZmnrLXBlRNt3cP7DyoK3/medieval-bed.jpeg",
      image_subject: "None",
      negative_prompt: "low-resolution",
      num_inference_steps: 50,
      prompt: "A man working on a laptop\nA man eats pizza\nA woman playing on saxophone",
      seed: 7998,
      shared_score_scale: 1,
      shared_score_shift: 2,
      style_prompt: "medieval painting",
      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_ZLb**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/style-aligned using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/style-aligned:4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8",
    input={
        "guidance_scale": 7,
        "height": 768,
        "image": "https://replicate.delivery/pbxt/K23WY2plxah7r8TASoTXvBGH6nZVZmnrLXBlRNt3cP7DyoK3/medieval-bed.jpeg",
        "image_subject": "None",
        "negative_prompt": "low-resolution",
        "num_inference_steps": 50,
        "prompt": "A man working on a laptop\nA man eats pizza\nA woman playing on saxophone",
        "seed": 7998,
        "shared_score_scale": 1,
        "shared_score_shift": 2,
        "style_prompt": "medieval painting",
        "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_ZLb**********************************

This is your API token. Keep it to yourself.

Run lucataco/style-aligned 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": "lucataco/style-aligned:4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8",
    "input": {
      "guidance_scale": 7,
      "height": 768,
      "image": "https://replicate.delivery/pbxt/K23WY2plxah7r8TASoTXvBGH6nZVZmnrLXBlRNt3cP7DyoK3/medieval-bed.jpeg",
      "image_subject": "None",
      "negative_prompt": "low-resolution",
      "num_inference_steps": 50,
      "prompt": "A man working on a laptop\\nA man eats pizza\\nA woman playing on saxophone",
      "seed": 7998,
      "shared_score_scale": 1,
      "shared_score_shift": 2,
      "style_prompt": "medieval painting",
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "avdn7nrbhnzisx2twbi7xxoe74",
  "model": "lucataco/style-aligned",
  "version": "4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8",
  "input": {
    "guidance_scale": 7,
    "height": 768,
    "image": "https://replicate.delivery/pbxt/K23WY2plxah7r8TASoTXvBGH6nZVZmnrLXBlRNt3cP7DyoK3/medieval-bed.jpeg",
    "image_subject": "None",
    "negative_prompt": "low-resolution",
    "num_inference_steps": 50,
    "prompt": "A man working on a laptop\nA man eats pizza\nA woman playing on saxophone",
    "seed": 7998,
    "shared_score_scale": 1,
    "shared_score_shift": 2,
    "style_prompt": "medieval painting",
    "width": 768
  },
  "logs": "Using seed: 7998\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:10,  4.57it/s]\n  4%|▍         | 2/50 [00:00<00:10,  4.53it/s]\n  6%|▌         | 3/50 [00:00<00:10,  4.47it/s]\n  8%|▊         | 4/50 [00:00<00:10,  4.50it/s]\n 10%|█         | 5/50 [00:01<00:09,  4.53it/s]\n 12%|█▏        | 6/50 [00:01<00:09,  4.56it/s]\n 14%|█▍        | 7/50 [00:01<00:09,  4.58it/s]\n 16%|█▌        | 8/50 [00:01<00:09,  4.58it/s]\n 18%|█▊        | 9/50 [00:01<00:08,  4.59it/s]\n 20%|██        | 10/50 [00:02<00:08,  4.63it/s]\n 22%|██▏       | 11/50 [00:02<00:08,  4.65it/s]\n 24%|██▍       | 12/50 [00:02<00:08,  4.63it/s]\n 26%|██▌       | 13/50 [00:02<00:08,  4.60it/s]\n 28%|██▊       | 14/50 [00:03<00:07,  4.61it/s]\n 30%|███       | 15/50 [00:03<00:07,  4.62it/s]\n 32%|███▏      | 16/50 [00:03<00:07,  4.64it/s]\n 34%|███▍      | 17/50 [00:03<00:07,  4.62it/s]\n 36%|███▌      | 18/50 [00:03<00:06,  4.61it/s]\n 38%|███▊      | 19/50 [00:04<00:06,  4.63it/s]\n 40%|████ 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  "output": [
    "https://replicate.delivery/pbxt/KleYIJ8ZZ3yHAKndOeGg4bpHWjIbfbu3MZ7yMSrxffPGFXKQC/output-1.png",
    "https://replicate.delivery/pbxt/8n0uU9xHHfzGXyJIkAOu4HOagJilKNaDCotUpIo8K27UcpAJA/output-2.png",
    "https://replicate.delivery/pbxt/g23clZinoZIzANqxp1iUDjneJu2lfGeYGAQVCY3PRMdSxlCkA/output-3.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-12-11T21:15:45.036722Z",
  "started_at": "2023-12-11T21:15:45.049118Z",
  "completed_at": "2023-12-11T21:16:26.510044Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/avdn7nrbhnzisx2twbi7xxoe74/cancel",
    "get": "https://api.replicate.com/v1/predictions/avdn7nrbhnzisx2twbi7xxoe74"
  },
  "metrics": {
    "predict_time": 41.460926,
    "total_time": 41.473322
  }
}

Generated in

41.5 seconds

Tweak it Report

Using seed: 7998 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:10, 4.57it/s] 4%|▍ | 2/50 [00:00<00:10, 4.53it/s] 6%|▌ | 3/50 [00:00<00:10, 4.47it/s] 8%|▊ | 4/50 [00:00<00:10, 4.50it/s] 10%|█ | 5/50 [00:01<00:09, 4.53it/s] 12%|█▏ | 6/50 [00:01<00:09, 4.56it/s] 14%|█▍ | 7/50 [00:01<00:09, 4.58it/s] 16%|█▌ | 8/50 [00:01<00:09, 4.58it/s] 18%|█▊ | 9/50 [00:01<00:08, 4.59it/s] 20%|██ | 10/50 [00:02<00:08, 4.63it/s] 22%|██▏ | 11/50 [00:02<00:08, 4.65it/s] 24%|██▍ | 12/50 [00:02<00:08, 4.63it/s] 26%|██▌ | 13/50 [00:02<00:08, 4.60it/s] 28%|██▊ | 14/50 [00:03<00:07, 4.61it/s] 30%|███ | 15/50 [00:03<00:07, 4.62it/s] 32%|███▏ | 16/50 [00:03<00:07, 4.64it/s] 34%|███▍ | 17/50 [00:03<00:07, 4.62it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.61it/s] 38%|███▊ | 19/50 [00:04<00:06, 4.63it/s] 40%|████ | 20/50 [00:04<00:06, 4.64it/s] 42%|████▏ | 21/50 [00:04<00:06, 4.66it/s] 44%|████▍ | 22/50 [00:04<00:06, 4.64it/s] 46%|████▌ | 23/50 [00:04<00:05, 4.64it/s] 48%|████▊ | 24/50 [00:05<00:05, 4.64it/s] 50%|█████ | 25/50 [00:05<00:05, 4.66it/s] 52%|█████▏ | 26/50 [00:05<00:05, 4.64it/s] 54%|█████▍ | 27/50 [00:05<00:04, 4.63it/s] 56%|█████▌ | 28/50 [00:06<00:04, 4.65it/s] 58%|█████▊ | 29/50 [00:06<00:04, 4.65it/s] 60%|██████ | 30/50 [00:06<00:04, 4.68it/s] 62%|██████▏ | 31/50 [00:06<00:04, 4.67it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.66it/s] 66%|██████▌ | 33/50 [00:07<00:03, 4.68it/s] 68%|██████▊ | 34/50 [00:07<00:03, 4.69it/s] 70%|███████ | 35/50 [00:07<00:03, 4.70it/s] 72%|███████▏ | 36/50 [00:07<00:02, 4.68it/s] 74%|███████▍ | 37/50 [00:07<00:02, 4.68it/s] 76%|███████▌ | 38/50 [00:08<00:02, 4.69it/s] 78%|███████▊ | 39/50 [00:08<00:02, 4.68it/s] 80%|████████ | 40/50 [00:08<00:02, 4.69it/s] 82%|████████▏ | 41/50 [00:08<00:01, 4.68it/s] 84%|████████▍ | 42/50 [00:09<00:01, 4.69it/s] 86%|████████▌ | 43/50 [00:09<00:01, 4.70it/s] 88%|████████▊ | 44/50 [00:09<00:01, 4.69it/s] 90%|█████████ | 45/50 [00:09<00:01, 4.66it/s] 92%|█████████▏| 46/50 [00:09<00:00, 4.65it/s] 94%|█████████▍| 47/50 [00:10<00:00, 4.63it/s] 96%|█████████▌| 48/50 [00:10<00:00, 4.63it/s] 98%|█████████▊| 49/50 [00:10<00:00, 4.63it/s] 100%|██████████| 50/50 [00:10<00:00, 4.63it/s] 100%|██████████| 50/50 [00:10<00:00, 4.64it/s] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:25, 1.89it/s] 4%|▍ | 2/50 [00:01<00:25, 1.89it/s] 6%|▌ | 3/50 [00:01<00:24, 1.89it/s] 8%|▊ | 4/50 [00:02<00:24, 1.89it/s] 10%|█ | 5/50 [00:02<00:23, 1.89it/s] 12%|█▏ | 6/50 [00:03<00:23, 1.89it/s] 14%|█▍ | 7/50 [00:03<00:22, 1.89it/s] 16%|█▌ | 8/50 [00:04<00:22, 1.89it/s] 18%|█▊ | 9/50 [00:04<00:21, 1.89it/s] 20%|██ | 10/50 [00:05<00:21, 1.89it/s] 22%|██▏ | 11/50 [00:05<00:20, 1.88it/s] 24%|██▍ | 12/50 [00:06<00:20, 1.88it/s] 26%|██▌ | 13/50 [00:06<00:19, 1.89it/s] 28%|██▊ | 14/50 [00:07<00:19, 1.89it/s] 30%|███ | 15/50 [00:07<00:18, 1.89it/s] 32%|███▏ | 16/50 [00:08<00:18, 1.89it/s] 34%|███▍ | 17/50 [00:09<00:17, 1.89it/s] 36%|███▌ | 18/50 [00:09<00:16, 1.88it/s] 38%|███▊ | 19/50 [00:10<00:16, 1.89it/s] 40%|████ | 20/50 [00:10<00:15, 1.89it/s] 42%|████▏ | 21/50 [00:11<00:15, 1.89it/s] 44%|████▍ | 22/50 [00:11<00:14, 1.89it/s] 46%|████▌ | 23/50 [00:12<00:14, 1.89it/s] 48%|████▊ | 24/50 [00:12<00:13, 1.89it/s] 50%|█████ | 25/50 [00:13<00:13, 1.89it/s] 52%|█████▏ | 26/50 [00:13<00:12, 1.89it/s] 54%|█████▍ | 27/50 [00:14<00:12, 1.89it/s] 56%|█████▌ | 28/50 [00:14<00:11, 1.89it/s] 58%|█████▊ | 29/50 [00:15<00:11, 1.89it/s] 60%|██████ | 30/50 [00:15<00:10, 1.88it/s] 62%|██████▏ | 31/50 [00:16<00:10, 1.88it/s] 64%|██████▍ | 32/50 [00:16<00:09, 1.88it/s] 66%|██████▌ | 33/50 [00:17<00:09, 1.88it/s] 68%|██████▊ | 34/50 [00:18<00:08, 1.88it/s] 70%|███████ | 35/50 [00:18<00:07, 1.88it/s] 72%|███████▏ | 36/50 [00:19<00:07, 1.88it/s] 74%|███████▍ | 37/50 [00:19<00:06, 1.88it/s] 76%|███████▌ | 38/50 [00:20<00:06, 1.88it/s] 78%|███████▊ | 39/50 [00:20<00:05, 1.88it/s] 80%|████████ | 40/50 [00:21<00:05, 1.88it/s] 82%|████████▏ | 41/50 [00:21<00:04, 1.88it/s] 84%|████████▍ | 42/50 [00:22<00:04, 1.88it/s] 86%|████████▌ | 43/50 [00:22<00:03, 1.88it/s] 88%|████████▊ | 44/50 [00:23<00:03, 1.88it/s] 90%|█████████ | 45/50 [00:23<00:02, 1.88it/s] 92%|█████████▏| 46/50 [00:24<00:02, 1.88it/s] 94%|█████████▍| 47/50 [00:24<00:01, 1.88it/s] 96%|█████████▌| 48/50 [00:25<00:01, 1.88it/s] 98%|█████████▊| 49/50 [00:25<00:00, 1.88it/s] 100%|██████████| 50/50 [00:26<00:00, 1.88it/s] 100%|██████████| 50/50 [00:26<00:00, 1.88it/s]