Input

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

npx create-replicate --model=yyjim/segment-anything-tryout

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 yyjim/segment-anything-tryout using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yyjim/segment-anything-tryout:72d58a6b199b075ba3a2c1a0e0951384b819a0f6d99ba6c326727fb464a7c792",
  {
    input: {
      box: "[65, 0, 855, 626]",
      image: "https://replicate.delivery/pbxt/Ie43tRi83xHyEQl01dPVIiz9ip5BlTVrtrS6HRdzGF1DdJWc/IMG_2205%20copy.jpg",
      mask_only: false,
      multimask_output: false
    }
  }
);

// 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.

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 yyjim/segment-anything-tryout using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yyjim/segment-anything-tryout:72d58a6b199b075ba3a2c1a0e0951384b819a0f6d99ba6c326727fb464a7c792",
    input={
        "box": "[65, 0, 855, 626]",
        "image": "https://replicate.delivery/pbxt/Ie43tRi83xHyEQl01dPVIiz9ip5BlTVrtrS6HRdzGF1DdJWc/IMG_2205%20copy.jpg",
        "mask_only": False,
        "multimask_output": False
    }
)
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 yyjim/segment-anything-tryout 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": "yyjim/segment-anything-tryout:72d58a6b199b075ba3a2c1a0e0951384b819a0f6d99ba6c326727fb464a7c792",
    "input": {
      "box": "[65, 0, 855, 626]",
      "image": "https://replicate.delivery/pbxt/Ie43tRi83xHyEQl01dPVIiz9ip5BlTVrtrS6HRdzGF1DdJWc/IMG_2205%20copy.jpg",
      "mask_only": false,
      "multimask_output": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

4.8 seconds

Tweak itReport

This output was created using a different version of the model, yyjim/segment-anything-tryout:47366ad7.

Examples

View more examples

Run time and cost

This model costs approximately $0.00067 to run on Replicate, or 1492 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 3 seconds.

Readme

Segment Anything

Meta AI Research, FAIR

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick

[Paper] [Project] [Demo] [Dataset] [Blog] [BibTeX]