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Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
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.
No output yet! Press "Submit" to start a prediction.
This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.