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• This project is released on GitHub under the MIT license, free and open-source for educational purposes.

• Luma API supports video generation and includes reference image support.
• Simplified deployment process, supports docker-compose and docker.
• [] Provides standardized services compatible with OpenAI's interface format, supports streaming and non-streaming output.
• [] Automatic keep-alive.
• [] Supports customization of the OpenAI Chat return content format based on Go Template syntax.
• [] Compatible with front-end projects like chat-next-web.
• [] Adapts to intermediary projects like New API.

http://localhost:8000/swagger/index.html

First, obtain a cookie from your browser.

Step-by-step guide on how to run a Docker container with specific environment variables and port mappings. Sensitive details like SQL names, passwords, and IP addresses are replaced with placeholders for this guide.

docker run --name luma-api -d -p 8000:8000 \
-e COOKIE=xxxx  \
 lumaapi/luma-api

docker-compose deployment

docker-compose pull && docker-compose up -d

docker-compose.yml

version: '3.2'

services:
  sunoapi:
    image: lumaapi/luma-api:latest
    container_name: luma-api
    restart: always
    ports:
      - "8000:8000"
    volumes:
      - ./logs:/logs
    environment:
      - COOKIE=

MIT © Luma API

This project is open-source on GitHub under the MIT license and is free of charge. If you find this project helpful, please give it a star and share it. Thank you for your support!