schananas/grounded_sam:ee871c19 – Run with an API on Replicate

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schananas /grounded_sam:ee871c19

Playground API

Input

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

npx create-replicate --model=schananas/grounded_sam

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

const output = await replicate.run(
  "schananas/grounded_sam:ee871c19efb1941f55f66a3d7d960428c8a5afcb77449547fe8e5a3ab9ebc21c",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JmHO96vCx2ytZlD0NcrOV34qH2hJgjf9XEUXgpj6xdFZgVQp/IMG_20231023_084258.jpg",
      mask_prompt: "Car",
      adjustment_factor: -25,
      negative_mask_prompt: "Wheels"
    }
  }
);

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

output = replicate.run(
    "schananas/grounded_sam:ee871c19efb1941f55f66a3d7d960428c8a5afcb77449547fe8e5a3ab9ebc21c",
    input={
        "image": "https://replicate.delivery/pbxt/JmHO96vCx2ytZlD0NcrOV34qH2hJgjf9XEUXgpj6xdFZgVQp/IMG_20231023_084258.jpg",
        "mask_prompt": "Car",
        "adjustment_factor": -25,
        "negative_mask_prompt": "Wheels"
    }
)

# The schananas/grounded_sam model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/schananas/grounded_sam/api#output-schema
    print(item)

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 schananas/grounded_sam 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": "schananas/grounded_sam:ee871c19efb1941f55f66a3d7d960428c8a5afcb77449547fe8e5a3ab9ebc21c",
    "input": {
      "image": "https://replicate.delivery/pbxt/JmHO96vCx2ytZlD0NcrOV34qH2hJgjf9XEUXgpj6xdFZgVQp/IMG_20231023_084258.jpg",
      "mask_prompt": "Car",
      "adjustment_factor": -25,
      "negative_mask_prompt": "Wheels"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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