dsingal0/stylegan3 – Run with an API on Replicate

dsingal0 / stylegan3

Cold

Public
76 runs
T4

Iterate in playground

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=dsingal0/stylegan3

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 dsingal0/stylegan3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
  {
    input: {
      seeds: "0",
      rotate: 3,
      class_idx: -1,
      translate: "0,0",
      noise_mode: "random",
      truncation_psi: 1
    }
  }
);

// 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

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 dsingal0/stylegan3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
    input={
        "seeds": "0",
        "rotate": 3,
        "class_idx": -1,
        "translate": "0,0",
        "noise_mode": "random",
        "truncation_psi": 1
    }
)
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 dsingal0/stylegan3 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": "dsingal0/stylegan3:8b9eb0a6dfc759bdf2a4f9ab4359dd3906996b9bc4ae3964db7a82714509320a",
    "input": {
      "seeds": "0",
      "rotate": 3,
      "class_idx": -1,
      "translate": "0,0",
      "noise_mode": "random",
      "truncation_psi": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.9 seconds

Tweak itReport

Examples

View more examples

Run time and cost

This model costs approximately $0.082 to run on Replicate, or 12 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 7 minutes.

Readme

This model doesn't have a readme.