mohamad1998630 / controlnet-seg

  • Public
  • 1 run
  • T4

Input

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

npx create-replicate --model=mohamad1998630/controlnet-seg
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 mohamad1998630/controlnet-seg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mohamad1998630/controlnet-seg:6a3ef42b7e0d227c2d2abb2443de9c280dde48e48bace94c91ee4aa44f8144bd",
  {
    input: {
      eta: 0,
      seed: 3.5,
      scale: 9,
      a_prompt: "best quality, extremely detailed",
      n_prompt: "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      strength: 1,
      ddim_steps: 20,
      guess_mode: false,
      num_samples: 1,
      image_resolution: 512,
      detect_resolution: 512
    }
  }
);

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 T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.