Prediction

Model

lucataco/illusion-diffusion-hq:3c64e669

kcusc63brykrmm5iwald3b445q

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

7.8s

Created

about 2 years ago by lucataco

Webhook

–

Input

prompt: (masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance
qr_code_content: Empty string
negative_prompt: ugly, disfigured, low quality, blurry, nsfw
num_inference_steps: 40
guidance_scale: 7.5
seed: 1057727382
width: 768
height: 768
num_outputs: 1
image: https://replicate.delivery/pbxt/Ja8F0jwa45Bv8AxkH0VjcyhQ4KTN0RJiLYivSskJmeCWc30n/spiral.png
controlnet_conditioning_scale: 1
border: 1
qrcode_background: gray

{
  "border": 1,
  "controlnet_conditioning_scale": 1,
  "guidance_scale": 7.5,
  "height": 768,
  "image": "https://replicate.delivery/pbxt/Ja8F0jwa45Bv8AxkH0VjcyhQ4KTN0RJiLYivSskJmeCWc30n/spiral.png",
  "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
  "num_inference_steps": 40,
  "num_outputs": 1,
  "prompt": "(masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance",
  "qr_code_content": "",
  "qrcode_background": "gray",
  "seed": 1057727382,
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_B96**********************************

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

const output = await replicate.run(
  "lucataco/illusion-diffusion-hq:3c64e669051f9b358e748c8e2fb8a06e64122a9ece762ef133252e2c99da77c1",
  {
    input: {
      border: 1,
      controlnet_conditioning_scale: 1,
      guidance_scale: 7.5,
      height: 768,
      image: "https://replicate.delivery/pbxt/Ja8F0jwa45Bv8AxkH0VjcyhQ4KTN0RJiLYivSskJmeCWc30n/spiral.png",
      negative_prompt: "ugly, disfigured, low quality, blurry, nsfw",
      num_inference_steps: 40,
      num_outputs: 1,
      prompt: "(masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance",
      qr_code_content: "",
      qrcode_background: "gray",
      seed: 1057727382,
      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_B96**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/illusion-diffusion-hq:3c64e669051f9b358e748c8e2fb8a06e64122a9ece762ef133252e2c99da77c1",
    input={
        "border": 1,
        "controlnet_conditioning_scale": 1,
        "guidance_scale": 7.5,
        "height": 768,
        "image": "https://replicate.delivery/pbxt/Ja8F0jwa45Bv8AxkH0VjcyhQ4KTN0RJiLYivSskJmeCWc30n/spiral.png",
        "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
        "num_inference_steps": 40,
        "num_outputs": 1,
        "prompt": "(masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance",
        "qr_code_content": "",
        "qrcode_background": "gray",
        "seed": 1057727382,
        "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_B96**********************************

This is your API token. Keep it to yourself.

Run lucataco/illusion-diffusion-hq 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/illusion-diffusion-hq:3c64e669051f9b358e748c8e2fb8a06e64122a9ece762ef133252e2c99da77c1",
    "input": {
      "border": 1,
      "controlnet_conditioning_scale": 1,
      "guidance_scale": 7.5,
      "height": 768,
      "image": "https://replicate.delivery/pbxt/Ja8F0jwa45Bv8AxkH0VjcyhQ4KTN0RJiLYivSskJmeCWc30n/spiral.png",
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
      "num_inference_steps": 40,
      "num_outputs": 1,
      "prompt": "(masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance",
      "qr_code_content": "",
      "qrcode_background": "gray",
      "seed": 1057727382,
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "kcusc63brykrmm5iwald3b445q",
  "model": "lucataco/illusion-diffusion-hq",
  "version": "3c64e669051f9b358e748c8e2fb8a06e64122a9ece762ef133252e2c99da77c1",
  "input": {
    "border": 1,
    "controlnet_conditioning_scale": 1,
    "guidance_scale": 7.5,
    "height": 768,
    "image": "https://replicate.delivery/pbxt/Ja8F0jwa45Bv8AxkH0VjcyhQ4KTN0RJiLYivSskJmeCWc30n/spiral.png",
    "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
    "num_inference_steps": 40,
    "num_outputs": 1,
    "prompt": "(masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance",
    "qr_code_content": "",
    "qrcode_background": "gray",
    "seed": 1057727382,
    "width": 768
  },
  "logs": "Seed: 1057727382\n  0%|          | 0/40 [00:00<?, ?it/s]\n  2%|▎         | 1/40 [00:00<00:05,  6.96it/s]\n  5%|▌         | 2/40 [00:00<00:05,  6.89it/s]\n  8%|▊         | 3/40 [00:00<00:05,  6.87it/s]\n 10%|█         | 4/40 [00:00<00:05,  6.85it/s]\n 12%|█▎        | 5/40 [00:00<00:05,  6.83it/s]\n 15%|█▌        | 6/40 [00:00<00:04,  6.83it/s]\n 18%|█▊        | 7/40 [00:01<00:04,  6.79it/s]\n 20%|██        | 8/40 [00:01<00:04,  6.79it/s]\n 22%|██▎       | 9/40 [00:01<00:04,  6.80it/s]\n 25%|██▌       | 10/40 [00:01<00:04,  6.80it/s]\n 28%|██▊       | 11/40 [00:01<00:04,  6.81it/s]\n 30%|███       | 12/40 [00:01<00:04,  6.84it/s]\n 32%|███▎      | 13/40 [00:01<00:03,  6.83it/s]\n 35%|███▌      | 14/40 [00:02<00:03,  6.83it/s]\n 38%|███▊      | 15/40 [00:02<00:03,  6.83it/s]\n 40%|████      | 16/40 [00:02<00:03,  6.84it/s]\n 42%|████▎     | 17/40 [00:02<00:03,  6.84it/s]\n 45%|████▌     | 18/40 [00:02<00:03,  6.85it/s]\n 48%|████▊     | 19/40 [00:02<00:03,  6.85it/s]\n 50%|█████     | 20/40 [00:02<00:02,  6.84it/s]\n 52%|█████▎    | 21/40 [00:03<00:02,  6.84it/s]\n 55%|█████▌    | 22/40 [00:03<00:02,  6.84it/s]\n 57%|█████▊    | 23/40 [00:03<00:02,  6.84it/s]\n 60%|██████    | 24/40 [00:03<00:02,  6.84it/s]\n 62%|██████▎   | 25/40 [00:03<00:02,  6.84it/s]\n 65%|██████▌   | 26/40 [00:03<00:02,  6.83it/s]\n 68%|██████▊   | 27/40 [00:03<00:01,  6.83it/s]\n 70%|███████   | 28/40 [00:04<00:01,  6.83it/s]\n 72%|███████▎  | 29/40 [00:04<00:01,  6.82it/s]\n 75%|███████▌  | 30/40 [00:04<00:01,  6.82it/s]\n 78%|███████▊  | 31/40 [00:04<00:01,  6.84it/s]\n 80%|████████  | 32/40 [00:04<00:01,  6.83it/s]\n 82%|████████▎ | 33/40 [00:04<00:01,  6.83it/s]\n 85%|████████▌ | 34/40 [00:04<00:00,  6.83it/s]\n 88%|████████▊ | 35/40 [00:05<00:00,  6.83it/s]\n 90%|█████████ | 36/40 [00:05<00:00,  6.83it/s]\n 92%|█████████▎| 37/40 [00:05<00:00,  6.83it/s]\n 95%|█████████▌| 38/40 [00:05<00:00,  6.83it/s]\n 98%|█████████▊| 39/40 [00:05<00:00,  6.83it/s]\n100%|██████████| 40/40 [00:05<00:00,  6.82it/s]\n100%|██████████| 40/40 [00:05<00:00,  6.83it/s]",
  "output": [
    "https://replicate.delivery/pbxt/HPJuktTvnJojD94PbrmeDWHcgmHfxLc5bOK7XlLFUSeB1vOjA/output-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-09-24T05:43:54.06498Z",
  "started_at": "2023-09-24T05:43:54.019209Z",
  "completed_at": "2023-09-24T05:44:01.816875Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/kcusc63brykrmm5iwald3b445q/cancel",
    "get": "https://api.replicate.com/v1/predictions/kcusc63brykrmm5iwald3b445q"
  },
  "metrics": {
    "predict_time": 7.797666,
    "total_time": 7.751895
  }
}

Generated in

7.8 seconds

Tweak it Report

Seed: 1057727382 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 6.96it/s] 5%|▌ | 2/40 [00:00<00:05, 6.89it/s] 8%|▊ | 3/40 [00:00<00:05, 6.87it/s] 10%|█ | 4/40 [00:00<00:05, 6.85it/s] 12%|█▎ | 5/40 [00:00<00:05, 6.83it/s] 15%|█▌ | 6/40 [00:00<00:04, 6.83it/s] 18%|█▊ | 7/40 [00:01<00:04, 6.79it/s] 20%|██ | 8/40 [00:01<00:04, 6.79it/s] 22%|██▎ | 9/40 [00:01<00:04, 6.80it/s] 25%|██▌ | 10/40 [00:01<00:04, 6.80it/s] 28%|██▊ | 11/40 [00:01<00:04, 6.81it/s] 30%|███ | 12/40 [00:01<00:04, 6.84it/s] 32%|███▎ | 13/40 [00:01<00:03, 6.83it/s] 35%|███▌ | 14/40 [00:02<00:03, 6.83it/s] 38%|███▊ | 15/40 [00:02<00:03, 6.83it/s] 40%|████ | 16/40 [00:02<00:03, 6.84it/s] 42%|████▎ | 17/40 [00:02<00:03, 6.84it/s] 45%|████▌ | 18/40 [00:02<00:03, 6.85it/s] 48%|████▊ | 19/40 [00:02<00:03, 6.85it/s] 50%|█████ | 20/40 [00:02<00:02, 6.84it/s] 52%|█████▎ | 21/40 [00:03<00:02, 6.84it/s] 55%|█████▌ | 22/40 [00:03<00:02, 6.84it/s] 57%|█████▊ | 23/40 [00:03<00:02, 6.84it/s] 60%|██████ | 24/40 [00:03<00:02, 6.84it/s] 62%|██████▎ | 25/40 [00:03<00:02, 6.84it/s] 65%|██████▌ | 26/40 [00:03<00:02, 6.83it/s] 68%|██████▊ | 27/40 [00:03<00:01, 6.83it/s] 70%|███████ | 28/40 [00:04<00:01, 6.83it/s] 72%|███████▎ | 29/40 [00:04<00:01, 6.82it/s] 75%|███████▌ | 30/40 [00:04<00:01, 6.82it/s] 78%|███████▊ | 31/40 [00:04<00:01, 6.84it/s] 80%|████████ | 32/40 [00:04<00:01, 6.83it/s] 82%|████████▎ | 33/40 [00:04<00:01, 6.83it/s] 85%|████████▌ | 34/40 [00:04<00:00, 6.83it/s] 88%|████████▊ | 35/40 [00:05<00:00, 6.83it/s] 90%|█████████ | 36/40 [00:05<00:00, 6.83it/s] 92%|█████████▎| 37/40 [00:05<00:00, 6.83it/s] 95%|█████████▌| 38/40 [00:05<00:00, 6.83it/s] 98%|█████████▊| 39/40 [00:05<00:00, 6.83it/s] 100%|██████████| 40/40 [00:05<00:00, 6.82it/s] 100%|██████████| 40/40 [00:05<00:00, 6.83it/s]