viktorfa/oot_segmentation – Run with an API on Replicate

viktorfa / oot_segmentation

Only makes segmentations for further processing

Cold

Public
194 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=viktorfa/oot_segmentation

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

const output = await replicate.run(
  "viktorfa/oot_segmentation:029c7a3275615693983f1186a94d3c02a5a46750a763e5deb30c1b608b7c3003",
  {
    input: {
      model_image: "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png"
    }
  }
);
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 viktorfa/oot_segmentation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "viktorfa/oot_segmentation:029c7a3275615693983f1186a94d3c02a5a46750a763e5deb30c1b608b7c3003",
    input={
        "model_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png"
    }
)
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 viktorfa/oot_segmentation 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": "029c7a3275615693983f1186a94d3c02a5a46750a763e5deb30c1b608b7c3003",
    "input": {
      "model_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png"
    }
  }' \
  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/viktorfa/oot_segmentation@sha256:029c7a3275615693983f1186a94d3c02a5a46750a763e5deb30c1b608b7c3003 \
  -i 'model_image="https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png"'

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/viktorfa/oot_segmentation@sha256:029c7a3275615693983f1186a94d3c02a5a46750a763e5deb30c1b608b7c3003
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png"
    }
  }' \
  http://localhost:5000/predictions

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