nucleargeeketh / testmodel1

(Updated 2 years, 4 months ago)

  • Public
  • 36 runs
  • T4
Iterate in playground

Input

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

npx create-replicate --model=nucleargeeketh/testmodel1
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 nucleargeeketh/testmodel1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nucleargeeketh/testmodel1:32a6bed224a658c44fb22e5199425ba4aed64fff69455e21b0ba076e2efc2b12",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "beautiful mzlady skull",
      scheduler: "DDIM",
      num_outputs: 1,
      guidance_scale: 7.5,
      prompt_strength: 0.8,
      num_inference_steps: 50,
      disable_safety_check: false
    }
  }
);

// 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 costs approximately $0.0030 to run on Replicate, or 333 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 14 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Model description

Intended use

Ethical considerations

Caveats and recommendations