usamaehsan / juggernaut-xl-x-adapters-x-lightning

  • Public
  • 20 runs
Iterate in playground

Input

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

npx create-replicate --model=usamaehsan/juggernaut-xl-x-adapters-x-lightning
or set up a project from scratch
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 usamaehsan/juggernaut-xl-x-adapters-x-lightning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "usamaehsan/juggernaut-xl-x-adapters-x-lightning:0019ca22a8b7a4a786e7c87b5b2d835e86462170703d745ba07a08bbc5e1ab31",
  {
    input: {
      max_width: 512,
      scheduler: "DDIM",
      max_height: 512,
      guidance_scale: 7,
      negative_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      ip_adapter_weight: 1,
      num_inference_steps: 20,
      disable_safety_check: false,
      lightning_lora_weight: 0,
      depth_conditioning_scale: 1,
      micro_detail_lora_weight: 0,
      lineart_conditioning_scale: 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.

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.