adarshnagrikar14/manhwa-ai:268417b9 – Run with an API on Replicate

Version

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adarshnagrikar14 /manhwa-ai:268417b9

Playground API

Input

input_image

*file

Input image for editing and subject conditioning

inpainting_mask

*file

Inpainting mask image (white areas will be inpainted)

expression

string

Shift + Return to add a new line

Desired facial expression for the manhwa style (e.g., 'happy', 'angry', 'surprised', 'neutral')

Default: "k-drama happy, confident, smiling"

height

integer

Height of the output image

Default: 768

width

integer

Width of the output image

Default: 512

seed

integer

Random seed

Default: 42

subject_lora_scale

number

(minimum: 0, maximum: 2)

Scale for the Subject LoRA weights

Default: 1

inpainting_lora_scale

number

(minimum: 0, maximum: 2)

Scale for the Inpainting LoRA weights

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps

Default: 16

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

npx create-replicate --model=adarshnagrikar14/manhwa-ai

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 adarshnagrikar14/manhwa-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adarshnagrikar14/manhwa-ai:268417b9df11eb436576ee805e1787a31c8050edf737ff219c16f1ed2d8fceb9",
  {
    input: {
      seed: 42,
      width: 512,
      height: 768,
      expression: "k-drama happy, confident, smiling",
      subject_lora_scale: 1,
      num_inference_steps: 16,
      inpainting_lora_scale: 1
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 adarshnagrikar14/manhwa-ai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adarshnagrikar14/manhwa-ai:268417b9df11eb436576ee805e1787a31c8050edf737ff219c16f1ed2d8fceb9",
    input={
        "seed": 42,
        "width": 512,
        "height": 768,
        "expression": "k-drama happy, confident, smiling",
        "subject_lora_scale": 1,
        "num_inference_steps": 16,
        "inpainting_lora_scale": 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 adarshnagrikar14/manhwa-ai 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": "adarshnagrikar14/manhwa-ai:268417b9df11eb436576ee805e1787a31c8050edf737ff219c16f1ed2d8fceb9",
    "input": {
      "seed": 42,
      "width": 512,
      "height": 768,
      "expression": "k-drama happy, confident, smiling",
      "subject_lora_scale": 1,
      "num_inference_steps": 16,
      "inpainting_lora_scale": 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.