twn39/test-sdxl

Public
3 runs

Input

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

npx create-replicate --model=twn39/test-sdxl
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 twn39/test-sdxl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "twn39/test-sdxl:924d4c14df44051ef5004480cbfdffb4c41487cad8c6bd25e0aa75ccad896a07",
  {
    input: {
      prompt: "",
      cn_type1: "ImagePrompt",
      cn_type2: "ImagePrompt",
      cn_type3: "ImagePrompt",
      cn_type4: "ImagePrompt",
      sharpness: 2,
      image_seed: -1,
      uov_method: "Disabled",
      image_number: 1,
      guidance_scale: 4,
      refiner_switch: 0.5,
      negative_prompt: "",
      style_selections: "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
      outpaint_selections: "",
      performance_selection: "Speed",
      aspect_ratios_selection: "1152×896"
    }
  }
);

// 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.