wolverinn/segment-selected-object – Run with an API on Replicate

wolverinn / segment-selected-object

segment anything & remove anything

Cold

Public
56 runs
T4

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=wolverinn/segment-selected-object

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";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run wolverinn/segment-selected-object using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "wolverinn/segment-selected-object:5e7acc3c130d7d8d7d6a04748091d1ff92d59042c78ed28a567e625abbd56e51",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KZAJCRRaZMhmstuVMHAkTkIBlOUh88UOIrxaMT6StREcXbVA/1.jpeg",
      coordinate_x: 480,
      coordinate_y: 400
    }
  }
);
console.log(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 wolverinn/segment-selected-object using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "wolverinn/segment-selected-object:5e7acc3c130d7d8d7d6a04748091d1ff92d59042c78ed28a567e625abbd56e51",
    input={
        "image": "https://replicate.delivery/pbxt/KZAJCRRaZMhmstuVMHAkTkIBlOUh88UOIrxaMT6StREcXbVA/1.jpeg",
        "coordinate_x": 480,
        "coordinate_y": 400
    }
)
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 wolverinn/segment-selected-object 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": "5e7acc3c130d7d8d7d6a04748091d1ff92d59042c78ed28a567e625abbd56e51",
    "input": {
      "image": "https://replicate.delivery/pbxt/KZAJCRRaZMhmstuVMHAkTkIBlOUh88UOIrxaMT6StREcXbVA/1.jpeg",
      "coordinate_x": 480,
      "coordinate_y": 400
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

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

Pull and run wolverinn/segment-selected-object using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/wolverinn/segment-selected-object@sha256:5e7acc3c130d7d8d7d6a04748091d1ff92d59042c78ed28a567e625abbd56e51 \
  -i 'image="https://replicate.delivery/pbxt/KZAJCRRaZMhmstuVMHAkTkIBlOUh88UOIrxaMT6StREcXbVA/1.jpeg"' \
  -i 'coordinate_x=480' \
  -i 'coordinate_y=400'

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

Pull and run wolverinn/segment-selected-object using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/wolverinn/segment-selected-object@sha256:5e7acc3c130d7d8d7d6a04748091d1ff92d59042c78ed28a567e625abbd56e51
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/KZAJCRRaZMhmstuVMHAkTkIBlOUh88UOIrxaMT6StREcXbVA/1.jpeg",
      "coordinate_x": 480,
      "coordinate_y": 400
    }
  }' \
  http://localhost:5000/predictions