lightweight-ai/test_sk2ig | Run with an API on Replicate

Input

prompt

string

Shift + Return to add a new line

Prompt for the generated image

Default: "High quality, 4K, UHD"

style_name

string

Select a visual style

Default: "Photographic"

negative_prompt

string

Shift + Return to add a new line

Negative prompt to avoid undesired results

Default: "ugly, blurry, deformed"

image

file

Upload an input image

hed_enabled

boolean

Enable HED preprocessing

Default: true

canny_enabled

boolean

Enable Canny preprocessing

Default: false

num_inference_steps

integer

Number of inference steps

Default: 25

guidance_scale

number

Classifier-free guidance scale

Default: 5

controlnet_conditioning_scale

number

ControlNet conditioning scale

Default: 1

seed

integer

Random seed for reproducibility

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

npx create-replicate --model=lightweight-ai/test_sk2ig

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";
import fs from "node:fs";

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

Run lightweight-ai/test_sk2ig using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lightweight-ai/test_sk2ig:0ef99511f3836ec50b98c33661d1cf495bc3e38c3635011ef2ad4310245b967d",
  {
    input: {
      seed: 0,
      image: "https://replicate.delivery/pbxt/Mq4t16RmMjs2zkyD0y2gFL7OZBlFvcjSRmoi2HqTyKfJlrzj/aa96dadef832b0af3ecbefea17fc8acc%20%28Copy%29.jpg",
      prompt: "rose",
      style_name: "3D Model",
      hed_enabled: true,
      canny_enabled: false,
      guidance_scale: 5,
      negative_prompt: "ugly, blurry, deformed",
      num_inference_steps: 25,
      controlnet_conditioning_scale: 0.5
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run lightweight-ai/test_sk2ig using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lightweight-ai/test_sk2ig:0ef99511f3836ec50b98c33661d1cf495bc3e38c3635011ef2ad4310245b967d",
    input={
        "seed": 0,
        "image": "https://replicate.delivery/pbxt/Mq4t16RmMjs2zkyD0y2gFL7OZBlFvcjSRmoi2HqTyKfJlrzj/aa96dadef832b0af3ecbefea17fc8acc%20%28Copy%29.jpg",
        "prompt": "rose",
        "style_name": "3D Model",
        "hed_enabled": True,
        "canny_enabled": False,
        "guidance_scale": 5,
        "negative_prompt": "ugly, blurry, deformed",
        "num_inference_steps": 25,
        "controlnet_conditioning_scale": 0.5
    }
)
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 lightweight-ai/test_sk2ig 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": "lightweight-ai/test_sk2ig:0ef99511f3836ec50b98c33661d1cf495bc3e38c3635011ef2ad4310245b967d",
    "input": {
      "seed": 0,
      "image": "https://replicate.delivery/pbxt/Mq4t16RmMjs2zkyD0y2gFL7OZBlFvcjSRmoi2HqTyKfJlrzj/aa96dadef832b0af3ecbefea17fc8acc%20%28Copy%29.jpg",
      "prompt": "rose",
      "style_name": "3D Model",
      "hed_enabled": true,
      "canny_enabled": false,
      "guidance_scale": 5,
      "negative_prompt": "ugly, blurry, deformed",
      "num_inference_steps": 25,
      "controlnet_conditioning_scale": 0.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-04-15T05:58:03.493255Z",
  "created_at": "2025-04-15T05:55:29.084000Z",
  "data_removed": false,
  "error": null,
  "id": "dhz6sztgqhrm80cp7028jy2ahg",
  "input": {
    "seed": 0,
    "image": "https://replicate.delivery/pbxt/Mq4t16RmMjs2zkyD0y2gFL7OZBlFvcjSRmoi2HqTyKfJlrzj/aa96dadef832b0af3ecbefea17fc8acc%20%28Copy%29.jpg",
    "prompt": "rose",
    "style_name": "3D Model",
    "hed_enabled": true,
    "canny_enabled": false,
    "guidance_scale": 5,
    "negative_prompt": "ugly, blurry, deformed",
    "num_inference_steps": 25,
    "controlnet_conditioning_scale": 0.5
  },
  "logs": "0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:07,  3.11it/s]\n  8%|▊         | 2/25 [00:00<00:04,  5.02it/s]\n 12%|█▏        | 3/25 [00:00<00:04,  5.33it/s]\n 16%|█▌        | 4/25 [00:00<00:03,  5.48it/s]\n 20%|██        | 5/25 [00:00<00:03,  5.57it/s]\n 24%|██▍       | 6/25 [00:01<00:03,  5.62it/s]\n 28%|██▊       | 7/25 [00:01<00:03,  5.65it/s]\n 32%|███▏      | 8/25 [00:01<00:02,  5.68it/s]\n 36%|███▌      | 9/25 [00:01<00:02,  5.70it/s]\n 40%|████      | 10/25 [00:01<00:02,  5.70it/s]\n 44%|████▍     | 11/25 [00:02<00:02,  5.71it/s]\n 48%|████▊     | 12/25 [00:02<00:02,  5.71it/s]\n 52%|█████▏    | 13/25 [00:02<00:02,  5.71it/s]\n 56%|█████▌    | 14/25 [00:02<00:01,  5.71it/s]\n 60%|██████    | 15/25 [00:02<00:01,  5.71it/s]\n 64%|██████▍   | 16/25 [00:02<00:01,  5.70it/s]\n 68%|██████▊   | 17/25 [00:03<00:01,  5.70it/s]\n 72%|███████▏  | 18/25 [00:03<00:01,  5.70it/s]\n 76%|███████▌  | 19/25 [00:03<00:01,  5.70it/s]\n 80%|████████  | 20/25 [00:03<00:00,  5.70it/s]\n 84%|████████▍ | 21/25 [00:03<00:00,  5.70it/s]\n 88%|████████▊ | 22/25 [00:03<00:00,  5.70it/s]\n 92%|█████████▏| 23/25 [00:04<00:00,  5.70it/s]\n 96%|█████████▌| 24/25 [00:04<00:00,  5.69it/s]\n100%|██████████| 25/25 [00:04<00:00,  5.68it/s]\n100%|██████████| 25/25 [00:04<00:00,  5.60it/s]\n출력 이미지가 /tmp/outpaint_output.png에 저장되었습니다.",
  "metrics": {
    "predict_time": 6.049118312,
    "total_time": 154.409255
  },
  "output": [
    "https://replicate.delivery/xezq/QeAp5DKcSOU8QCJnecgXzCGzhca0hoW8mikGcYWcJ98rd6iUA/outpaint_output.png"
  ],
  "started_at": "2025-04-15T05:57:57.444137Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-t7f6wty2uetcmotro54xyu55ab23z7au6mxgpv2levkqjf3od7ra",
    "get": "https://api.replicate.com/v1/predictions/dhz6sztgqhrm80cp7028jy2ahg",
    "cancel": "https://api.replicate.com/v1/predictions/dhz6sztgqhrm80cp7028jy2ahg/cancel"
  },
  "version": "0ef99511f3836ec50b98c33661d1cf495bc3e38c3635011ef2ad4310245b967d"
}

Generated in

6.0 seconds