hbqdev / instant-id

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  • 0 runs
Iterate in playground

Input

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

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

const output = await replicate.run(
  "hbqdev/instant-id:9d88a326fe4fb4d58d048c7b680e016eee9825752ed8e19ba8f17ec1751555bd",
  {
    input: {
      prompt: "a person",
      scheduler: "EulerDiscreteScheduler",
      enable_lcm: false,
      num_outputs: 1,
      sdxl_weights: "stable-diffusion-xl-base-1.0",
      output_format: "webp",
      pose_strength: 0.4,
      canny_strength: 0.3,
      depth_strength: 0.5,
      guidance_scale: 7.5,
      output_quality: 80,
      negative_prompt: "",
      ip_adapter_scale: 0.8,
      lcm_guidance_scale: 1.5,
      num_inference_steps: 30,
      enable_pose_controlnet: true,
      enhance_nonface_region: true,
      enable_canny_controlnet: false,
      enable_depth_controlnet: false,
      lcm_num_inference_steps: 5,
      face_detection_input_width: 640,
      face_detection_input_height: 640,
      controlnet_conditioning_scale: 0.8
    }
  }
);

// 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.