vetkastar/rem-color-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-color-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-color-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-color-bg:11873a3cbc4e172741fb759403982af15512dddd348fb77247353a3f93b802f8",
  {
    input: {
      bg_color: "#FFFFFF",
      tolerance: 0,
      upscale_factor: 2,
      color_threshold: 50
    }
  }
);

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

output = replicate.run(
    "vetkastar/rem-color-bg:11873a3cbc4e172741fb759403982af15512dddd348fb77247353a3f93b802f8",
    input={
        "bg_color": "#FFFFFF",
        "tolerance": 0,
        "upscale_factor": 2,
        "color_threshold": 50
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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-color-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-color-bg:11873a3cbc4e172741fb759403982af15512dddd348fb77247353a3f93b802f8",
    "input": {
      "bg_color": "#FFFFFF",
      "tolerance": 0,
      "upscale_factor": 2,
      "color_threshold": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/vetkastar/rem-color-bg@sha256:11873a3cbc4e172741fb759403982af15512dddd348fb77247353a3f93b802f8 \
  -i 'bg_color="#FFFFFF"' \
  -i 'tolerance=0' \
  -i 'upscale_factor=2' \
  -i 'color_threshold=50'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/vetkastar/rem-color-bg@sha256:11873a3cbc4e172741fb759403982af15512dddd348fb77247353a3f93b802f8
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "bg_color": "#FFFFFF",
      "tolerance": 0,
      "upscale_factor": 2,
      "color_threshold": 50
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.