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

Input

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

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

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

const output = await replicate.run(
  "lightweight-ai/lwjay:48aa922cd99cb3264eae460928ae9e4a675ea150f03040d672a14b8fdbc940fc",
  {
    input: {
      width: 1280,
      height: 1024,
      prompt: "High quailty, 4K, UHD",
      version: 0,
      guidance: 30,
      alignment: "Middle",
      lora_scale: 0.125,
      overlap_top: true,
      overlap_left: true,
      overlap_right: true,
      resize_option: "Full",
      overlap_bottom: true,
      overlap_percentage: 10,
      num_inference_steps: 28,
      custom_resize_percentage: 50
    }
  }
);

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

output = replicate.run(
    "lightweight-ai/lwjay:48aa922cd99cb3264eae460928ae9e4a675ea150f03040d672a14b8fdbc940fc",
    input={
        "width": 1280,
        "height": 1024,
        "prompt": "High quailty, 4K, UHD",
        "version": 0,
        "guidance": 30,
        "alignment": "Middle",
        "lora_scale": 0.125,
        "overlap_top": True,
        "overlap_left": True,
        "overlap_right": True,
        "resize_option": "Full",
        "overlap_bottom": True,
        "overlap_percentage": 10,
        "num_inference_steps": 28,
        "custom_resize_percentage": 50
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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/lwjay 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/lwjay:48aa922cd99cb3264eae460928ae9e4a675ea150f03040d672a14b8fdbc940fc",
    "input": {
      "width": 1280,
      "height": 1024,
      "prompt": "High quailty, 4K, UHD",
      "version": 0,
      "guidance": 30,
      "alignment": "Middle",
      "lora_scale": 0.125,
      "overlap_top": true,
      "overlap_left": true,
      "overlap_right": true,
      "resize_option": "Full",
      "overlap_bottom": true,
      "overlap_percentage": 10,
      "num_inference_steps": 28,
      "custom_resize_percentage": 50
    }
  }' \
  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.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.