viktorfa/oot_diffusion:dbdb1a3b – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

viktorfa /oot_diffusion:dbdb1a3b

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=viktorfa/oot_diffusion

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

const output = await replicate.run(
  "viktorfa/oot_diffusion:dbdb1a3bdc9730b31775d513b355fc88506d3f587ade7a2b1a82fe38c2a67880",
  {
    input: {
      seed: 0,
      steps: 20,
      model_image: "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png",
      garment_image: "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/cloth_1.jpg",
      guidance_scale: 2
    }
  }
);
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_diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "viktorfa/oot_diffusion:dbdb1a3bdc9730b31775d513b355fc88506d3f587ade7a2b1a82fe38c2a67880",
    input={
        "seed": 0,
        "steps": 20,
        "model_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png",
        "garment_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/cloth_1.jpg",
        "guidance_scale": 2
    }
)
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_diffusion 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": "dbdb1a3bdc9730b31775d513b355fc88506d3f587ade7a2b1a82fe38c2a67880",
    "input": {
      "seed": 0,
      "steps": 20,
      "model_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png",
      "garment_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/cloth_1.jpg",
      "guidance_scale": 2
    }
  }' \
  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_diffusion@sha256:dbdb1a3bdc9730b31775d513b355fc88506d3f587ade7a2b1a82fe38c2a67880 \
  -i 'seed=0' \
  -i 'steps=20' \
  -i 'model_image="https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png"' \
  -i 'garment_image="https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/cloth_1.jpg"' \
  -i 'guidance_scale=2'

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_diffusion@sha256:dbdb1a3bdc9730b31775d513b355fc88506d3f587ade7a2b1a82fe38c2a67880
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 0,
      "steps": 20,
      "model_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/model_1.png",
      "garment_image": "https://raw.githubusercontent.com/viktorfa/oot_diffusion/main/oot_diffusion/assets/cloth_1.jpg",
      "guidance_scale": 2
    }
  }' \
  http://localhost:5000/predictions

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

Output

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