wty-ustc/hairclip:b95cb2a1 – Run with an API on Replicate

Version

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wty-ustc /hairclip:b95cb2a1

Input

image

*file

Input image. Image will be aligned and resized. Output will be the concatenation of the inverted input and the image with edited hair.

editing_type

string

Edit hairstyle or color or both.

Default: "hairstyle"

hairstyle_description

string

Hairstyle text prompt. Valid if input_type is text or text_image.

color_description

string

Shift + Return to add a new line

Color text prompt, eg: purple, red, orange. Valid if editing_type is color or both.

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

npx create-replicate --model=wty-ustc/hairclip

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 wty-ustc/hairclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "wty-ustc/hairclip:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587",
  {
    input: {
      editing_type: "hairstyle",
      hairstyle_description: "afro hairstyle"
    }
  }
);
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 wty-ustc/hairclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "wty-ustc/hairclip:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587",
    input={
        "editing_type": "hairstyle",
        "hairstyle_description": "afro hairstyle"
    }
)
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 wty-ustc/hairclip 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": "b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587",
    "input": {
      "editing_type": "hairstyle",
      "hairstyle_description": "afro hairstyle"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run wty-ustc/hairclip using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/wty-ustc/hairclip@sha256:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587 \
  -i 'editing_type="hairstyle"' \
  -i 'hairstyle_description="afro hairstyle"'

To learn more, take a look at the Cog documentation.

Pull and run wty-ustc/hairclip using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/wty-ustc/hairclip@sha256:b95cb2a16763bea87ed7ed851d5a3ab2f4655e94bcfb871edba029d4814fa587
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "editing_type": "hairstyle",
      "hairstyle_description": "afro hairstyle"
    }
  }' \
  http://localhost:5000/predictions

Output

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