Using Golang, convert the video capabilities of the LumaAI Dream Machine into an API format for calls, making it easier to integrate quickly into third-party systems.
- This project is released on GitHub under the MIT license, free and open-source for educational purposes.
- Luma API supports video generation and allows uploading reference images.
- Users can upload reference images in advance or provide third-party image links or base64 encoded images when submitting video tasks.
- API interface security verification.
- Simplified deployment process, supporting both docker-compose and docker.
- Provides standardized services compatible with OpenAI's interface format, supporting both streaming and non-streaming output.
- Supports customization of the OpenAI Chat response format based on Go Template syntax.
- Compatible with frontend projects like chat-next-web.
- [] Automatic keep-alive (still lacking access to refresh token interface).
- [] Adapts to intermediary projects like New API.
- [] Pre-detection of sensitive words.
http://localhost:8000/swagger/index.html
curl --location 'http://localhost:8000/luma/generations/' \
--header 'Authorization: Bearer {SECRET_TOKEN}' \
--header 'Content-Type: application/json' \
--data '{
"user_prompt": "Increase dynamic",
"aspect_ratio": "16:9",
"expand_prompt": true,
"image_url": "https://api.bltcy.ai/logo.png"
}'
{
"created_at": "2024-06-18T14:47:43.318498Z",
"estimate_wait_seconds": null,
"id": "a4a8f1ff-e59b-4969-abcb-98b3e16f003e",
"liked": null,
"prompt": "Increase dynamic",
"state": "pending",
"video": null
}
Log in using Google Chrome https://lumalabs.ai/dream-machine/ Get access_token
env | description | default value |
---|---|---|
COOKIE | Cookie obtained from the image above for the Luma account,having either the access_token or the cookie is sufficient. | None |
ACCESS_TOKEN | The access_token and cookie obtained from the luma account in the image above; having either the access_token or the cookie is sufficient. | None |
BASE_URL | Request API URL for Luma | https://internal-api.virginia.labs.lumalabs.ai |
PROXY | HTTP proxy | None |
PORT | Port | 8000 |
SECRET_TOKEN | Luma API seurity http header Bearer token | None |
ROTATE_LOGS | Whether to rotate logs daily | Yes |
LOG_DIR | Log output path | ./logs |
DEBUG | Whether to enable Debug logging | No |
PPROF | Whether to enable Pprof performance analysis, uses port 8005 if enabled | No |
CHAT_TIME_OUT | Chat request time out | 600 s |
CHAT_TEMPLATE_DIR | Chat template path | ./template |
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:
- ACCESS_TOKEN=
- Golang 1.20+
git clone https://github.com/LumaAI-API/Luma-API.git
cd Luma-API
go mod tidy
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!