kevin51jiang/ic-light:c5089f92 – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

kevin51jiang /ic-light:c5089f92

Playground API Setup logs

Input

subject_image

*file

The main foreground image to be relighted

prompt

*string

Shift + Return to add a new line

A text description guiding the relighting and generation process

appended_prompt

string

Shift + Return to add a new line

Additional text to be appended to the main prompt, enhancing image quality

Default: "best quality"

negative_prompt

string

Shift + Return to add a new line

lowres, bad anatomy, bad hands, cropped, worst qualitylowres, bad anatomy, bad hands, cropped, worst quality

A text description of attributes to avoid in the generated images

Default: "lowres, bad anatomy, bad hands, cropped, worst quality"

width

integer

(minimum: 100, maximum: 1024)

The width of the generated images in pixels

Default: 512

height

integer

(minimum: 100, maximum: 1024)

The height of the generated images in pixels

Default: 640

steps

integer

(minimum: 1, maximum: 100)

The number of diffusion steps to perform during generation (more steps generally improves image quality but increases processing time)

Default: 25

cfg

number

(minimum: 1, maximum: 32)

Classifier-Free Guidance scale - higher values encourage adherence to prompt, lower values encourage more creative interpretation

Default: 2

highres_scale

number

(minimum: 1, maximum: 3)

The multiplier for the final output resolution relative to the initial latent resolution

Default: 1.5

highres_denoise

number

(minimum: 0.1, maximum: 1)

Controls the amount of denoising applied when refining the high resolution output (higher = more adherence to the upscaled latent, lower = more creative details added)

Default: 0.5

lowres_denoise

number

(minimum: 0.1, maximum: 1)

Controls the amount of denoising applied when generating the initial latent from the background image (higher = more adherence to the background, lower = more creative interpretation)

Default: 0.9

light_source

string

The type and position of lighting to apply to the initial background latent

Default: "None"

seed

integer

A fixed random seed for reproducible results (omit this parameter for a randomized seed)

number_of_images

integer

(minimum: 1, maximum: 12)

The number of unique images to generate from the given input and settings

Default: 1

output_format

string

The image file format of the generated output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

The image compression quality (for lossy formats like JPEG and WebP). 100 = best quality, 0 = lowest quality.

Default: 80

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

npx create-replicate --model=kevin51jiang/ic-light

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 kevin51jiang/ic-light using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kevin51jiang/ic-light:c5089f92aa1ecf8cd879e8348cb6a4825decdca7d637b158871011c01cf48b06",
  {
    input: {
      cfg: 2,
      steps: 25,
      width: 512,
      height: 640,
      light_source: "None",
      highres_scale: 1.5,
      output_format: "webp",
      lowres_denoise: 0.9,
      output_quality: 80,
      appended_prompt: "best quality",
      highres_denoise: 0.5,
      negative_prompt: "lowres, bad anatomy, bad hands, cropped, worst quality",
      number_of_images: 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

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 kevin51jiang/ic-light using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kevin51jiang/ic-light:c5089f92aa1ecf8cd879e8348cb6a4825decdca7d637b158871011c01cf48b06",
    input={
        "cfg": 2,
        "steps": 25,
        "width": 512,
        "height": 640,
        "light_source": "None",
        "highres_scale": 1.5,
        "output_format": "webp",
        "lowres_denoise": 0.9,
        "output_quality": 80,
        "appended_prompt": "best quality",
        "highres_denoise": 0.5,
        "negative_prompt": "lowres, bad anatomy, bad hands, cropped, worst quality",
        "number_of_images": 1
    }
)
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 kevin51jiang/ic-light 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": "c5089f92aa1ecf8cd879e8348cb6a4825decdca7d637b158871011c01cf48b06",
    "input": {
      "cfg": 2,
      "steps": 25,
      "width": 512,
      "height": 640,
      "light_source": "None",
      "highres_scale": 1.5,
      "output_format": "webp",
      "lowres_denoise": 0.9,
      "output_quality": 80,
      "appended_prompt": "best quality",
      "highres_denoise": 0.5,
      "negative_prompt": "lowres, bad anatomy, bad hands, cropped, worst quality",
      "number_of_images": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.