vetkastar/rem-bg | Run with an API on Replicate

Input

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

npx create-replicate --model=vetkastar/rem-bg

or set up a project from scratch

Install Replicate’s Node.js client library:

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 vetkastar/rem-bg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "vetkastar/rem-bg:03556f3ce0b34634ce275346b83a28b25bc385e8d51199aca761b8a95deaf9df",
  {
    input: {
      object_type: "hairs-like",
      seg_mask_size: 640,
      trimap_erosion: 5,
      trimap_dilation: 30
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip 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 the client:

import replicate

Run vetkastar/rem-bg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "vetkastar/rem-bg:03556f3ce0b34634ce275346b83a28b25bc385e8d51199aca761b8a95deaf9df",
    input={
        "object_type": "hairs-like",
        "seg_mask_size": 640,
        "trimap_erosion": 5,
        "trimap_dilation": 30
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run vetkastar/rem-bg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "vetkastar/rem-bg:03556f3ce0b34634ce275346b83a28b25bc385e8d51199aca761b8a95deaf9df",
    "input": {
      "object_type": "hairs-like",
      "seg_mask_size": 640,
      "trimap_erosion": 5,
      "trimap_dilation": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

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.