schananas/grounded_sam:64d9dcbb – Run with an API on Replicate

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schananas /grounded_sam:64d9dcbb

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:64d9dcbb59f7af406d34fe9d0fda9892b9fd09dce1413136fb942a5abdb06998",
  {
    input: {
      image: "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
      mask_prompt: "clothes,shoes",
      negative_mask_prompt: "pants"
    }
  }
);
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 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:64d9dcbb59f7af406d34fe9d0fda9892b9fd09dce1413136fb942a5abdb06998",
    input={
        "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
        "mask_prompt": "clothes,shoes",
        "negative_mask_prompt": "pants"
    }
)

# 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": "64d9dcbb59f7af406d34fe9d0fda9892b9fd09dce1413136fb942a5abdb06998",
    "input": {
      "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
      "mask_prompt": "clothes,shoes",
      "negative_mask_prompt": "pants"
    }
  }' \
  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/schananas/grounded_sam@sha256:64d9dcbb59f7af406d34fe9d0fda9892b9fd09dce1413136fb942a5abdb06998 \
  -i 'image="https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg"' \
  -i 'mask_prompt="clothes,shoes"' \
  -i 'negative_mask_prompt="pants"'

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/schananas/grounded_sam@sha256:64d9dcbb59f7af406d34fe9d0fda9892b9fd09dce1413136fb942a5abdb06998
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": "clothes,shoes",
      "negative_mask_prompt": "pants"
    }
  }' \
  http://localhost:5000/predictions

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

Output

No output yet! Press "Submit" to start a prediction.