fofr/illusions:fa68ea6d – Run with an API on Replicate

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fofr /illusions:fa68ea6d

Playground API

Input

prompt

string

Shift + Return to add a new line

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

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: 2.2

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:fa68ea6dd119e4817e3f910b9316827e8d7a8210b919cfc2ad339fb3907cab37",
  {
    input: {
      seed: -1,
      image: "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
      width: 768,
      height: 768,
      prompt: "a painting of a 19th century town",
      num_outputs: 1,
      control_image: "https://replicate.delivery/pbxt/JouAO2zaHgb66YVChJagSYz0LcGqv3QgG4BS71mioFbBHWTZ/spiral_black_transparent-2513050263.jpg",
      guidance_scale: 7.5,
      negative_prompt: "ugly, disfigured, low quality, blurry, nsfw",
      prompt_strength: 0.75,
      num_inference_steps: 40,
      controlnet_conditioning_scale: 0.75
    }
  }
);
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:fa68ea6dd119e4817e3f910b9316827e8d7a8210b919cfc2ad339fb3907cab37",
    input={
        "seed": -1,
        "image": "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
        "width": 768,
        "height": 768,
        "prompt": "a painting of a 19th century town",
        "num_outputs": 1,
        "control_image": "https://replicate.delivery/pbxt/JouAO2zaHgb66YVChJagSYz0LcGqv3QgG4BS71mioFbBHWTZ/spiral_black_transparent-2513050263.jpg",
        "guidance_scale": 7.5,
        "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
        "prompt_strength": 0.75,
        "num_inference_steps": 40,
        "controlnet_conditioning_scale": 0.75
    }
)
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": "fa68ea6dd119e4817e3f910b9316827e8d7a8210b919cfc2ad339fb3907cab37",
    "input": {
      "seed": -1,
      "image": "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
      "width": 768,
      "height": 768,
      "prompt": "a painting of a 19th century town",
      "num_outputs": 1,
      "control_image": "https://replicate.delivery/pbxt/JouAO2zaHgb66YVChJagSYz0LcGqv3QgG4BS71mioFbBHWTZ/spiral_black_transparent-2513050263.jpg",
      "guidance_scale": 7.5,
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
      "prompt_strength": 0.75,
      "num_inference_steps": 40,
      "controlnet_conditioning_scale": 0.75
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-04T20:04:41.250206Z",
  "created_at": "2023-11-04T20:04:36.232637Z",
  "data_removed": false,
  "error": null,
  "id": "qdblsslbv3blfk3prji47mfiha",
  "input": {
    "seed": -1,
    "image": "https://replicate.delivery/pbxt/JouANiZNiW2mwouIgIk1VySvjL9MBmaPD6Ib8HyfW81CJzRR/out-0-44.png",
    "width": 768,
    "height": 768,
    "prompt": "a painting of a 19th century town",
    "num_outputs": 1,
    "control_image": "https://replicate.delivery/pbxt/JouAO2zaHgb66YVChJagSYz0LcGqv3QgG4BS71mioFbBHWTZ/spiral_black_transparent-2513050263.jpg",
    "guidance_scale": 7.5,
    "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
    "prompt_strength": 0.75,
    "num_inference_steps": 40,
    "controlnet_conditioning_scale": 0.75
  },
  "logs": "img2img mode\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:06,  4.23it/s]\n  7%|▋         | 2/30 [00:00<00:04,  5.97it/s]\n 10%|█         | 3/30 [00:00<00:03,  6.88it/s]\n 13%|█▎        | 4/30 [00:00<00:03,  7.41it/s]\n 17%|█▋        | 5/30 [00:00<00:03,  7.74it/s]\n 20%|██        | 6/30 [00:00<00:03,  7.95it/s]\n 23%|██▎       | 7/30 [00:00<00:02,  8.09it/s]\n 27%|██▋       | 8/30 [00:01<00:02,  8.18it/s]\n 30%|███       | 9/30 [00:01<00:02,  8.25it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  8.29it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  8.31it/s]\n 40%|████      | 12/30 [00:01<00:02,  8.33it/s]\n 43%|████▎     | 13/30 [00:01<00:02,  8.33it/s]\n 47%|████▋     | 14/30 [00:01<00:01,  8.34it/s]\n 50%|█████     | 15/30 [00:01<00:01,  8.35it/s]\n 53%|█████▎    | 16/30 [00:02<00:01,  8.35it/s]\n 57%|█████▋    | 17/30 [00:02<00:01,  8.35it/s]\n 60%|██████    | 18/30 [00:02<00:01,  8.35it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  8.35it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  8.35it/s]\n 70%|███████   | 21/30 [00:02<00:01,  8.35it/s]\n 73%|███████▎  | 22/30 [00:02<00:00,  8.35it/s]\n 77%|███████▋  | 23/30 [00:02<00:00,  8.35it/s]\n 80%|████████  | 24/30 [00:02<00:00,  8.35it/s]\n 83%|████████▎ | 25/30 [00:03<00:00,  8.35it/s]\n 87%|████████▋ | 26/30 [00:03<00:00,  8.35it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  8.35it/s]\n 93%|█████████▎| 28/30 [00:03<00:00,  8.35it/s]\n 97%|█████████▋| 29/30 [00:03<00:00,  8.35it/s]\n100%|██████████| 30/30 [00:03<00:00,  8.35it/s]\n100%|██████████| 30/30 [00:03<00:00,  8.10it/s]",
  "metrics": {
    "predict_time": 5.069463,
    "total_time": 5.017569
  },
  "output": [
    "https://replicate.delivery/pbxt/0mvORZpRyI4yH5wKdpHDtgqWqUGpsO5w0EcElf7g90eYXF1RA/output-0.png"
  ],
  "started_at": "2023-11-04T20:04:36.180743Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qdblsslbv3blfk3prji47mfiha",
    "cancel": "https://api.replicate.com/v1/predictions/qdblsslbv3blfk3prji47mfiha/cancel"
  },
  "version": "fa68ea6dd119e4817e3f910b9316827e8d7a8210b919cfc2ad339fb3907cab37"
}

Generated in

5.1 seconds

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