adirik/stylemc:e5b9cea4 – Run with an API on Replicate

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adirik /stylemc:e5b9cea4

Playground API

Input

image

*file

Input facial image. The demo supports FFHQ.

prompt

string

Choose a prompt with pre-calculated direction or specify the customized_prompt below

Default: "a photo of a face with blonde hair"

customized_prompt

string

Shift + Return to add a new line

Specify your customized prompt. If set, the prompt above will be ignored. More descriptive texts produce better results such as using "a photo of a face with blonde hair" instead of "blonde hair".

change_power

integer

(minimum: 1, maximum: 50)

Choose the style change power.

Default: 10

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

npx create-replicate --model=adirik/stylemc

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

const output = await replicate.run(
  "adirik/stylemc:e5b9cea4a37f39d14ee82a7ede7599183db1801980976c8eac92f571c33bd43f",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KX8JZ1ZTBj6oSh78QKOExLXcDGWV4eB5Z3z9gnFCmMMJxynH/stylemc_sample.jpg",
      prompt: "a photo of a happy face",
      change_power: 8
    }
  }
);
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 adirik/stylemc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/stylemc:e5b9cea4a37f39d14ee82a7ede7599183db1801980976c8eac92f571c33bd43f",
    input={
        "image": "https://replicate.delivery/pbxt/KX8JZ1ZTBj6oSh78QKOExLXcDGWV4eB5Z3z9gnFCmMMJxynH/stylemc_sample.jpg",
        "prompt": "a photo of a happy face",
        "change_power": 8
    }
)
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 adirik/stylemc 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": "e5b9cea4a37f39d14ee82a7ede7599183db1801980976c8eac92f571c33bd43f",
    "input": {
      "image": "https://replicate.delivery/pbxt/KX8JZ1ZTBj6oSh78QKOExLXcDGWV4eB5Z3z9gnFCmMMJxynH/stylemc_sample.jpg",
      "prompt": "a photo of a happy face",
      "change_power": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

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

Run this to download the model and run it in your local environment:

cog predict r8.im/adirik/stylemc@sha256:e5b9cea4a37f39d14ee82a7ede7599183db1801980976c8eac92f571c33bd43f \
  -i 'image="https://replicate.delivery/pbxt/KX8JZ1ZTBj6oSh78QKOExLXcDGWV4eB5Z3z9gnFCmMMJxynH/stylemc_sample.jpg"' \
  -i 'prompt="a photo of a happy face"' \
  -i 'change_power=8'

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

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/adirik/stylemc@sha256:e5b9cea4a37f39d14ee82a7ede7599183db1801980976c8eac92f571c33bd43f
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/KX8JZ1ZTBj6oSh78QKOExLXcDGWV4eB5Z3z9gnFCmMMJxynH/stylemc_sample.jpg",
      "prompt": "a photo of a happy face",
      "change_power": 8
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

50.6 seconds

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