c-barron / owl-sam

Fork of https://replicate.com/schananas/grounded_sam that uses OwlV2 instead of Grounding Dino

Cold

Public
1.5K runs
L40S
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

c-barron/owl-sam:08ab1904032ff1e79e9088d3b7fb4e42eebefa13c43f0f360446db31b1e88520

Model

c-barron/owl-sam:08ab1904

k2hp2a05bxrgm0cfsj2sxbt07r

Status

Succeeded

Source

Web

Hardware

A40

Total duration

76.4s

Created

11 months ago

Input

image
prompts: [ "shoes", "pants" ]
threshold: 0.15

{
  "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
  "prompts": [
    "shoes",
    "pants"
  ],
  "threshold": 0.15
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run c-barron/owl-sam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "c-barron/owl-sam:08ab1904032ff1e79e9088d3b7fb4e42eebefa13c43f0f360446db31b1e88520",
  {
    input: {
      image: "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
      prompts: ["shoes","pants"],
      threshold: 0.15
    }
  }
);

// 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

Import the client:

import replicate

Run c-barron/owl-sam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "c-barron/owl-sam:08ab1904032ff1e79e9088d3b7fb4e42eebefa13c43f0f360446db31b1e88520",
    input={
        "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
        "prompts": ["shoes","pants"],
        "threshold": 0.15
    }
)

# The c-barron/owl-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/c-barron/owl-sam/api#output-schema
    print(item)

To learn more, take a look at the guide on getting started with Python.

Run c-barron/owl-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": "08ab1904032ff1e79e9088d3b7fb4e42eebefa13c43f0f360446db31b1e88520",
    "input": {
      "image": "https://st.mngbcn.com/rcs/pics/static/T5/fotos/outfit/S20/57034757_56-99999999_01.jpg",
      "prompts": ["shoes","pants"],
      "threshold": 0.15
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

9.8 seconds

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