pengdaqian2020/unet-clothing-segment – Run with an API on Replicate

pengdaqian2020 / unet-clothing-segment

unet clothing segment

Cold

Public
791 runs
T4

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=pengdaqian2020/unet-clothing-segment

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 pengdaqian2020/unet-clothing-segment using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pengdaqian2020/unet-clothing-segment:8758baa3116e9dc31c7dbefe9ef529c305078800c08a13f6365508b34fb03799",
  {
    input: {
      image: "https://replicate.delivery/pbxt/KKfKtmeumm2pi0zt53Lfn2i1VbfXYYNYQpwDC4ejoeavut0q/4ac3b86b-68da-4a4f-8d10-f54f1996b465.jpeg",
      clothing: "upper"
    }
  }
);
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 pengdaqian2020/unet-clothing-segment using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pengdaqian2020/unet-clothing-segment:8758baa3116e9dc31c7dbefe9ef529c305078800c08a13f6365508b34fb03799",
    input={
        "image": "https://replicate.delivery/pbxt/KKfKtmeumm2pi0zt53Lfn2i1VbfXYYNYQpwDC4ejoeavut0q/4ac3b86b-68da-4a4f-8d10-f54f1996b465.jpeg",
        "clothing": "upper"
    }
)
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 pengdaqian2020/unet-clothing-segment 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": "8758baa3116e9dc31c7dbefe9ef529c305078800c08a13f6365508b34fb03799",
    "input": {
      "image": "https://replicate.delivery/pbxt/KKfKtmeumm2pi0zt53Lfn2i1VbfXYYNYQpwDC4ejoeavut0q/4ac3b86b-68da-4a4f-8d10-f54f1996b465.jpeg",
      "clothing": "upper"
    }
  }' \
  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/pengdaqian2020/unet-clothing-segment@sha256:8758baa3116e9dc31c7dbefe9ef529c305078800c08a13f6365508b34fb03799 \
  -i 'image="https://replicate.delivery/pbxt/KKfKtmeumm2pi0zt53Lfn2i1VbfXYYNYQpwDC4ejoeavut0q/4ac3b86b-68da-4a4f-8d10-f54f1996b465.jpeg"' \
  -i 'clothing="upper"'

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 r8.im/pengdaqian2020/unet-clothing-segment@sha256:8758baa3116e9dc31c7dbefe9ef529c305078800c08a13f6365508b34fb03799
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/KKfKtmeumm2pi0zt53Lfn2i1VbfXYYNYQpwDC4ejoeavut0q/4ac3b86b-68da-4a4f-8d10-f54f1996b465.jpeg",
      "clothing": "upper"
    }
  }' \
  http://localhost:5000/predictions

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

Output

[ "https://storage.googleapis.com/replicate-files/f9M2lRzlTPycQysCs5qJ5Fmb3jor3kfE7hMdJsQ3TpYGzkSSA/5a468aee-c19d-11ee-b2eb-02f89ba63bf5.png" ]

Generated in

3.7 seconds

Tweak it Report

This example was created by a different version, pengdaqian2020/unet-clothing-segment:4e047a54.

Run time and cost

This model costs approximately $0.012 to run on Replicate, or 83 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 53 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.