lightweight-ai / model2_5

  • Public
  • 84.4K runs
  • A100 (80GB)

Input

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

npx create-replicate --model=lightweight-ai/model2_5
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 lightweight-ai/model2_5 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lightweight-ai/model2_5:e1d53ab6adeb0d2dfb05d086d0de5298823c89021bcc243d29dd06f6adf7d074",
  {
    input: {
      loras: [],
      width: 1024,
      height: 1024,
      prompt: "A bohemian-style female travel blogger with sun-kissed skin and messy beach waves",
      inpaint: false,
      version: 0,
      annotator: "canny",
      brightness: 1,
      controlnet: false,
      lora_scales: [],
      num_outputs: 1,
      nsfw_chekcer: false,
      low_threshold: 100,
      output_format: "png",
      guidance_scale: 3.5,
      high_threshold: 200,
      output_quality: 100,
      prompt_strength: 0.8,
      control_strength: 0.65,
      num_inference_steps: 28,
      control_guidance_end: 0.8,
      control_guidance_start: 0
    }
  }
);

// 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 $0.0014 to run on Replicate, or 714 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 A100 (80GB) GPU hardware. Predictions typically complete within 1 seconds.

Readme

This model doesn't have a readme.