carlpeaslee / waffle-time

  • Public
  • 5 runs
  • L40S
  • SDXL fine-tune

Input

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

npx create-replicate --model=carlpeaslee/waffle-time
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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run carlpeaslee/waffle-time using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "carlpeaslee/waffle-time:12e62833651f42bbf2ff4a1b13f55b185b792dfb85cdd9f252409c8c48181657",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "An astronaut riding a rainbow unicorn",
      refine: "no_refiner",
      scheduler: "K_EULER",
      lora_scale: 0.6,
      num_outputs: 1,
      guidance_scale: 7.5,
      apply_watermark: true,
      high_noise_frac: 0.8,
      negative_prompt: "",
      prompt_strength: 0.8,
      num_inference_steps: 50
    }
  }
);
console.log(output);

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.