fofr/illusions:7f0be598 – Run with an API on Replicate

Version

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fofr /illusions:7f0be598

Input

prompt

string

Shift + Return to add a new line

a oil painting of a 19th century town, detailed textures, masterpiecea oil painting of a 19th century town, detailed textures, masterpiece

Default: "a painting of a 19th century town"

negative_prompt

string

Shift + Return to add a new line

ugly, disfigured, low quality, blurry, nsfwugly, disfigured, low quality, blurry, nsfw

The negative prompt to guide image generation.

Default: "ugly, disfigured, low quality, blurry, nsfw"

num_inference_steps

integer

(minimum: 20, maximum: 100)

Number of diffusion steps

Default: 40

guidance_scale

number

(minimum: 0.1, maximum: 30)

Scale for classifier-free guidance

Default: 7.5

seed

integer

Seed

Default: -1

width

integer

Default: 768

height

integer

Default: 768

sizing_strategy

string

Decide how to resize images – use width/height, resize based on input image or control image

Default: "width/height"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs

Default: 1

control_image

file

Preview

Control image

image

file

Preview

Optional img2img

mask_image

file

Optional mask for inpainting

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

controlnet_conditioning_scale

number

(minimum: 0, maximum: 4)

How strong the controlnet conditioning is

Default: 0.75

Run this model in Node.js with one line of code:

npx create-replicate --model=fofr/illusions

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "fofr/illusions:7f0be5988e9838359a66b7481bb9b18290eb11a3ae76ccedd9c9bafd14f5bf7b",
  {
    input: {
      seed: -1,
      image: "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
      width: 768,
      height: 768,
      prompt: "a oil painting of a 19th century town, detailed textures, masterpiece",
      num_outputs: 1,
      control_image: "https://replicate.delivery/pbxt/JpU8SBPAZv0avvZ03CNqkiRBZlexOgeYEDjXg2UcBqF7tmeh/checkers_mid.jpg",
      guidance_scale: 7.5,
      negative_prompt: "ugly, disfigured, low quality, blurry, nsfw",
      prompt_strength: 0.85,
      sizing_strategy: "width/height",
      num_inference_steps: 40,
      controlnet_conditioning_scale: 1.8
    }
  }
);
console.log(output);

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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

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

output = replicate.run(
    "fofr/illusions:7f0be5988e9838359a66b7481bb9b18290eb11a3ae76ccedd9c9bafd14f5bf7b",
    input={
        "seed": -1,
        "image": "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
        "width": 768,
        "height": 768,
        "prompt": "a oil painting of a 19th century town, detailed textures, masterpiece",
        "num_outputs": 1,
        "control_image": "https://replicate.delivery/pbxt/JpU8SBPAZv0avvZ03CNqkiRBZlexOgeYEDjXg2UcBqF7tmeh/checkers_mid.jpg",
        "guidance_scale": 7.5,
        "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
        "prompt_strength": 0.85,
        "sizing_strategy": "width/height",
        "num_inference_steps": 40,
        "controlnet_conditioning_scale": 1.8
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run fofr/illusions 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": "7f0be5988e9838359a66b7481bb9b18290eb11a3ae76ccedd9c9bafd14f5bf7b",
    "input": {
      "seed": -1,
      "image": "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
      "width": 768,
      "height": 768,
      "prompt": "a oil painting of a 19th century town, detailed textures, masterpiece",
      "num_outputs": 1,
      "control_image": "https://replicate.delivery/pbxt/JpU8SBPAZv0avvZ03CNqkiRBZlexOgeYEDjXg2UcBqF7tmeh/checkers_mid.jpg",
      "guidance_scale": 7.5,
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
      "prompt_strength": 0.85,
      "sizing_strategy": "width/height",
      "num_inference_steps": 40,
      "controlnet_conditioning_scale": 1.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-06T11:18:14.742806Z",
  "created_at": "2023-11-06T11:18:08.114850Z",
  "data_removed": false,
  "error": null,
  "id": "fa67gn3bgwlp3idv2ylncbla4e",
  "input": {
    "seed": -1,
    "image": "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
    "width": 768,
    "height": 768,
    "prompt": "a oil painting of a 19th century town, detailed textures, masterpiece",
    "num_outputs": 1,
    "control_image": "https://replicate.delivery/pbxt/JpU8SBPAZv0avvZ03CNqkiRBZlexOgeYEDjXg2UcBqF7tmeh/checkers_mid.jpg",
    "guidance_scale": 7.5,
    "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
    "prompt_strength": 0.85,
    "sizing_strategy": "width/height",
    "num_inference_steps": 40,
    "controlnet_conditioning_scale": 1.8
  },
  "logs": "img2img mode\nUsing given dimensions\n  0%|          | 0/34 [00:00<?, ?it/s]\n  3%|▎         | 1/34 [00:00<00:07,  4.24it/s]\n  6%|▌         | 2/34 [00:00<00:05,  5.98it/s]\n  9%|▉         | 3/34 [00:00<00:04,  6.88it/s]\n 12%|█▏        | 4/34 [00:00<00:04,  7.40it/s]\n 15%|█▍        | 5/34 [00:00<00:03,  7.73it/s]\n 18%|█▊        | 6/34 [00:00<00:03,  7.95it/s]\n 21%|██        | 7/34 [00:00<00:03,  8.08it/s]\n 24%|██▎       | 8/34 [00:01<00:03,  8.17it/s]\n 26%|██▋       | 9/34 [00:01<00:03,  8.23it/s]\n 29%|██▉       | 10/34 [00:01<00:02,  8.27it/s]\n 32%|███▏      | 11/34 [00:01<00:02,  8.31it/s]\n 35%|███▌      | 12/34 [00:01<00:02,  8.33it/s]\n 38%|███▊      | 13/34 [00:01<00:02,  8.34it/s]\n 41%|████      | 14/34 [00:01<00:02,  8.35it/s]\n 44%|████▍     | 15/34 [00:01<00:02,  8.35it/s]\n 47%|████▋     | 16/34 [00:02<00:02,  8.35it/s]\n 50%|█████     | 17/34 [00:02<00:02,  8.36it/s]\n 53%|█████▎    | 18/34 [00:02<00:01,  8.37it/s]\n 56%|█████▌    | 19/34 [00:02<00:01,  8.37it/s]\n 59%|█████▉    | 20/34 [00:02<00:01,  8.37it/s]\n 62%|██████▏   | 21/34 [00:02<00:01,  8.37it/s]\n 65%|██████▍   | 22/34 [00:02<00:01,  8.37it/s]\n 68%|██████▊   | 23/34 [00:02<00:01,  8.37it/s]\n 71%|███████   | 24/34 [00:02<00:01,  8.37it/s]\n 74%|███████▎  | 25/34 [00:03<00:01,  8.36it/s]\n 76%|███████▋  | 26/34 [00:03<00:00,  8.36it/s]\n 79%|███████▉  | 27/34 [00:03<00:00,  8.37it/s]\n 82%|████████▏ | 28/34 [00:03<00:00,  8.36it/s]\n 85%|████████▌ | 29/34 [00:03<00:00,  8.36it/s]\n 88%|████████▊ | 30/34 [00:03<00:00,  8.36it/s]\n 91%|█████████ | 31/34 [00:03<00:00,  8.38it/s]\n 94%|█████████▍| 32/34 [00:03<00:00,  8.39it/s]\n 97%|█████████▋| 33/34 [00:04<00:00,  8.40it/s]\n100%|██████████| 34/34 [00:04<00:00,  8.40it/s]\n100%|██████████| 34/34 [00:04<00:00,  8.14it/s]",
  "metrics": {
    "predict_time": 6.633376,
    "total_time": 6.627956
  },
  "output": [
    "https://replicate.delivery/pbxt/0RhRq9yiZgbaAVC9rgWHo9sjOEB2D3KpGieB4hcCm6i66z6IA/output-0.png"
  ],
  "started_at": "2023-11-06T11:18:08.109430Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fa67gn3bgwlp3idv2ylncbla4e",
    "cancel": "https://api.replicate.com/v1/predictions/fa67gn3bgwlp3idv2ylncbla4e/cancel"
  },
  "version": "7f0be5988e9838359a66b7481bb9b18290eb11a3ae76ccedd9c9bafd14f5bf7b"
}

Generated in

6.6 seconds

Tweak itReport

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