okaris/grounded-sam – Run with an API on Replicate

okaris / grounded-sam

Cold

Public
308 runs
L40S

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=okaris/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 okaris/grounded-sam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "okaris/grounded-sam:cc9418bf8c2163cdf72f5d39b0607ac4bbf7b99add7fd9b191fb6b0f8814194d",
  {
    input: {
      image: "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
      mask_prompt: "object",
      adjustment_factor: -15
    }
  }
);

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

output = replicate.run(
    "okaris/grounded-sam:cc9418bf8c2163cdf72f5d39b0607ac4bbf7b99add7fd9b191fb6b0f8814194d",
    input={
        "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
        "mask_prompt": "object",
        "adjustment_factor": -15
    }
)

# The okaris/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/okaris/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 okaris/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": "cc9418bf8c2163cdf72f5d39b0607ac4bbf7b99add7fd9b191fb6b0f8814194d",
    "input": {
      "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
      "mask_prompt": "object",
      "adjustment_factor": -15
    }
  }' \
  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/okaris/grounded-sam@sha256:cc9418bf8c2163cdf72f5d39b0607ac4bbf7b99add7fd9b191fb6b0f8814194d \
  -i 'image="https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg"' \
  -i 'mask_prompt="object"' \
  -i 'adjustment_factor=-15'

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/okaris/grounded-sam@sha256:cc9418bf8c2163cdf72f5d39b0607ac4bbf7b99add7fd9b191fb6b0f8814194d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
      "mask_prompt": "object",
      "adjustment_factor": -15
    }
  }' \
  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 costs approximately $0.013 to run on Replicate, or 76 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 L40S GPU hardware. Predictions typically complete within 14 seconds.

Readme

This model doesn't have a readme.