cjwbw / rembg

Remove images background

Warm

Public
9.2M runs
L40S
GitHub
License

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Prediction

cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786

Model

cjwbw/rembg:34bd50c3

g6t5gk75n5dzdbroexxahqgs3a

Status

Succeeded

Source

Web

Hardware

–

Total duration

53.1s

Created

over 2 years ago by @chenxwh

Input

image

{
  "image": "https://replicate.delivery/pbxt/Ho28olmw8dnOffOz7yjuPK6UGsOPqFUfpCnq1ur8zaAKxiPH/animal-1.jpeg"
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Ho28olmw8dnOffOz7yjuPK6UGsOPqFUfpCnq1ur8zaAKxiPH/animal-1.jpeg"
    }
  }
);

// 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

Import the client:

import replicate

Run cjwbw/rembg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786",
    input={
        "image": "https://replicate.delivery/pbxt/Ho28olmw8dnOffOz7yjuPK6UGsOPqFUfpCnq1ur8zaAKxiPH/animal-1.jpeg"
    }
)
print(output)

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

Run cjwbw/rembg 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": "cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786",
    "input": {
      "image": "https://replicate.delivery/pbxt/Ho28olmw8dnOffOz7yjuPK6UGsOPqFUfpCnq1ur8zaAKxiPH/animal-1.jpeg"
    }
  }' \
  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/cjwbw/rembg@sha256:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786 \
  -i 'image="https://replicate.delivery/pbxt/Ho28olmw8dnOffOz7yjuPK6UGsOPqFUfpCnq1ur8zaAKxiPH/animal-1.jpeg"'

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 --gpus=all r8.im/cjwbw/rembg@sha256:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/Ho28olmw8dnOffOz7yjuPK6UGsOPqFUfpCnq1ur8zaAKxiPH/animal-1.jpeg"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

3.9 seconds

Tweak it ShareReport

Prediction

cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786

Model

cjwbw/rembg:34bd50c3

simzbeoktbfc3faehoot4ikxii

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.6s

Created

over 2 years ago by @chenxwh

Input

image

{
  "image": "https://replicate.delivery/pbxt/Ho2DCxhF0FUFCCbW1xEdrgTQfIrbX4769tifxUdXpZET2f0y/girl-2.jpeg"
}

Install Replicate’s Node.js client library:

npm install replicate

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

const output = await replicate.run(
  "cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Ho2DCxhF0FUFCCbW1xEdrgTQfIrbX4769tifxUdXpZET2f0y/girl-2.jpeg"
    }
  }
);

// 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

Import the client:

import replicate

Run cjwbw/rembg using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786",
    input={
        "image": "https://replicate.delivery/pbxt/Ho2DCxhF0FUFCCbW1xEdrgTQfIrbX4769tifxUdXpZET2f0y/girl-2.jpeg"
    }
)
print(output)

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

Run cjwbw/rembg 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": "cjwbw/rembg:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786",
    "input": {
      "image": "https://replicate.delivery/pbxt/Ho2DCxhF0FUFCCbW1xEdrgTQfIrbX4769tifxUdXpZET2f0y/girl-2.jpeg"
    }
  }' \
  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/cjwbw/rembg@sha256:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786 \
  -i 'image="https://replicate.delivery/pbxt/Ho2DCxhF0FUFCCbW1xEdrgTQfIrbX4769tifxUdXpZET2f0y/girl-2.jpeg"'

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 --gpus=all r8.im/cjwbw/rembg@sha256:34bd50c3cdcf667a839abdcdde7201d5b39bbebb54aa037da542ee6e670d9786
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/Ho2DCxhF0FUFCCbW1xEdrgTQfIrbX4769tifxUdXpZET2f0y/girl-2.jpeg"
    }
  }' \
  http://localhost:5000/predictions

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