Deploy pixelle-video

AI short-video studio with web UI and flexible model pipelines

Deploy pixelle-video

Deploy and Host Pixelle-Video on Railway

About Hosting Pixelle-Video on Railway

This template runs Pixelle-Video as a single Streamlit web service on Railway using a Docker image source, so users can open a browser and start configuring AI video generation immediately.

Tech Stack

  • Python 3.11
  • Streamlit Web UI
  • Pixelle-Video core pipeline
  • FFmpeg media processing
  • Docker image deployment on Railway

Why Deploy Pixelle-Video on Railway

Railway provides fast image-based deploys, managed HTTPS domains, and simple environment variable management, which is ideal for quickly hosting Pixelle-Video's interactive UI.

Common Use Cases

  • One-click hosted AI short-video generation UI
  • Team demos for prompt-to-video workflows
  • Lightweight hosted environment for testing model and workflow configurations

Deployment Notes

The service is HTTP-based and routes through PORT=8501. A start command override is required because the image default command starts the API process, while this template targets the browser-facing Streamlit UI. No volume is mounted by default; app state in local files is ephemeral unless you add persistence later.

Dependencies for Pixelle-Video on Railway

This template uses a single web service with no required database/cache dependencies.

Deployment Dependencies

ServiceImagePortVolume
appxiaosong233/pixelle-video-railway:latest8501-

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