Prediction

1fvc0453b9rgp0cfmxxvzxzr4r

Status

Succeeded

Source

API

Hardware

A40 (Large)

Total duration

10.2s

Created

over 1 year ago

Input

image
border: 4
prompt: concept art . digital artwork, illustrative, painterly, matte painting, highly detailed
guidance_scale: 7.5
negative_prompt: ugly, disfigured, low quality, blurry, nsfw
qr_code_content
num_inference_steps: 40
controlnet_conditioning_scale: 1

{
  "image": "https://www.webxr.be/art/img/image664fbd5868a94.jpeg",
  "border": 4,
  "prompt": "concept art . digital artwork, illustrative, painterly, matte painting, highly detailed",
  "guidance_scale": 7.5,
  "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
  "qr_code_content": "",
  "num_inference_steps": 40,
  "controlnet_conditioning_scale": 1
}

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

const output = await replicate.run(
  "stspanho/illusion:047c82671b5c148dd3911492baca1ae94d9666eacac12bfb74608453b3bc7c7a",
  {
    input: {
      image: "https://www.webxr.be/art/img/image664fbd5868a94.jpeg",
      border: 4,
      prompt: "concept art . digital artwork, illustrative, painterly, matte painting, highly detailed",
      guidance_scale: 7.5,
      negative_prompt: "ugly, disfigured, low quality, blurry, nsfw",
      qr_code_content: "",
      num_inference_steps: 40,
      controlnet_conditioning_scale: 1
    }
  }
);

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

output = replicate.run(
    "stspanho/illusion:047c82671b5c148dd3911492baca1ae94d9666eacac12bfb74608453b3bc7c7a",
    input={
        "image": "https://www.webxr.be/art/img/image664fbd5868a94.jpeg",
        "border": 4,
        "prompt": "concept art . digital artwork, illustrative, painterly, matte painting, highly detailed",
        "guidance_scale": 7.5,
        "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
        "qr_code_content": "",
        "num_inference_steps": 40,
        "controlnet_conditioning_scale": 1
    }
)

# 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.

Run stspanho/illusion 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": "stspanho/illusion:047c82671b5c148dd3911492baca1ae94d9666eacac12bfb74608453b3bc7c7a",
    "input": {
      "image": "https://www.webxr.be/art/img/image664fbd5868a94.jpeg",
      "border": 4,
      "prompt": "concept art . digital artwork, illustrative, painterly, matte painting, highly detailed",
      "guidance_scale": 7.5,
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
      "qr_code_content": "",
      "num_inference_steps": 40,
      "controlnet_conditioning_scale": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-05-23T22:04:19.096418Z",
  "created_at": "2024-05-23T22:04:08.922000Z",
  "data_removed": false,
  "error": null,
  "id": "1fvc0453b9rgp0cfmxxvzxzr4r",
  "input": {
    "image": "https://www.webxr.be/art/img/image664fbd5868a94.jpeg",
    "border": 4,
    "prompt": "concept art . digital artwork, illustrative, painterly, matte painting, highly detailed",
    "guidance_scale": 7.5,
    "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
    "qr_code_content": "",
    "num_inference_steps": 40,
    "controlnet_conditioning_scale": 1
  },
  "logs": "Seed: 380864877\n  0%|          | 0/40 [00:00<?, ?it/s]\n  2%|▎         | 1/40 [00:00<00:11,  3.50it/s]\n  5%|▌         | 2/40 [00:00<00:07,  4.93it/s]\n  8%|▊         | 3/40 [00:00<00:06,  5.67it/s]\n 10%|█         | 4/40 [00:00<00:05,  6.09it/s]\n 12%|█▎        | 5/40 [00:00<00:05,  6.36it/s]\n 15%|█▌        | 6/40 [00:01<00:05,  6.53it/s]\n 18%|█▊        | 7/40 [00:01<00:04,  6.64it/s]\n 20%|██        | 8/40 [00:01<00:04,  6.71it/s]\n 22%|██▎       | 9/40 [00:01<00:04,  6.77it/s]\n 25%|██▌       | 10/40 [00:01<00:04,  6.81it/s]\n 28%|██▊       | 11/40 [00:01<00:04,  6.85it/s]\n 30%|███       | 12/40 [00:01<00:04,  6.86it/s]\n 32%|███▎      | 13/40 [00:02<00:03,  6.89it/s]\n 35%|███▌      | 14/40 [00:02<00:03,  6.91it/s]\n 38%|███▊      | 15/40 [00:02<00:03,  6.91it/s]\n 40%|████      | 16/40 [00:02<00:03,  6.91it/s]\n 42%|████▎     | 17/40 [00:02<00:03,  6.91it/s]\n 45%|████▌     | 18/40 [00:02<00:03,  6.91it/s]\n 48%|████▊     | 19/40 [00:02<00:03,  6.92it/s]\n 50%|█████     | 20/40 [00:03<00:02,  6.91it/s]\n 52%|█████▎    | 21/40 [00:03<00:02,  6.92it/s]\n 55%|█████▌    | 22/40 [00:03<00:02,  6.92it/s]\n 57%|█████▊    | 23/40 [00:03<00:02,  6.93it/s]\n 60%|██████    | 24/40 [00:03<00:02,  6.92it/s]\n 62%|██████▎   | 25/40 [00:03<00:02,  6.92it/s]\n 65%|██████▌   | 26/40 [00:03<00:02,  6.92it/s]\n 68%|██████▊   | 27/40 [00:04<00:01,  6.92it/s]\n 70%|███████   | 28/40 [00:04<00:01,  6.91it/s]\n 72%|███████▎  | 29/40 [00:04<00:01,  6.90it/s]\n 75%|███████▌  | 30/40 [00:04<00:01,  6.91it/s]\n 78%|███████▊  | 31/40 [00:04<00:01,  6.91it/s]\n 80%|████████  | 32/40 [00:04<00:01,  6.90it/s]\n 82%|████████▎ | 33/40 [00:04<00:01,  6.90it/s]\n 85%|████████▌ | 34/40 [00:05<00:00,  6.90it/s]\n 88%|████████▊ | 35/40 [00:05<00:00,  6.91it/s]\n 90%|█████████ | 36/40 [00:05<00:00,  6.91it/s]\n 92%|█████████▎| 37/40 [00:05<00:00,  6.91it/s]\n 95%|█████████▌| 38/40 [00:05<00:00,  6.91it/s]\n 98%|█████████▊| 39/40 [00:05<00:00,  6.91it/s]\n100%|██████████| 40/40 [00:05<00:00,  6.92it/s]\n100%|██████████| 40/40 [00:05<00:00,  6.75it/s]",
  "metrics": {
    "predict_time": 10.12624,
    "total_time": 10.174418
  },
  "output": [
    "https://replicate.delivery/pbxt/eqqsbrcyBoQxKqKAOyw5fFsen7UEXicIsu1Lywy1In2C7tulA/output-0.png",
    "https://replicate.delivery/pbxt/iX5aWzpVqQbeNafGzZFfp2OYrfZ87yzeMlineRhGnhLoYv1tE/output-depth-0.png"
  ],
  "started_at": "2024-05-23T22:04:08.970178Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/1fvc0453b9rgp0cfmxxvzxzr4r",
    "cancel": "https://api.replicate.com/v1/predictions/1fvc0453b9rgp0cfmxxvzxzr4r/cancel"
  },
  "version": "047c82671b5c148dd3911492baca1ae94d9666eacac12bfb74608453b3bc7c7a"
}

Generated in

10.1 seconds

Iterate in playground ShareReport

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