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ffmpeg-modal-containers

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Serverless video processing on Modal.

Software Engineering#serverless#ffmpeg#video processing#modal#transcoding#gpu encoding
AuthorJosiahSiegel
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the deployment and execution of FFmpeg for video processing tasks on Modal's serverless platform, enabling efficient, scalable, and cost-effective video transcoding and manipulation.

Core Features & Use Cases

  • Serverless FFmpeg Deployment: Easily set up FFmpeg in CPU or GPU containers on Modal.
  • GPU-Accelerated Encoding: Leverage NVIDIA GPUs for faster video encoding (NVENC support varies).
  • Parallel Processing: Utilize Modal's map and starmap for batch transcoding and frame-level processing.
  • Volume Integration: Handle large video files efficiently using Modal Volumes.
  • Cost Optimization: Choose between CPU and GPU based on task requirements and pricing.
  • Use Case: Transcode a batch of 1000 videos from MP4 to HLS format in parallel, leveraging GPU acceleration for faster processing and Modal Volumes to store the input and output files.

Quick Start

Use the ffmpeg-modal-containers skill to transcode a local video file named 'input.mp4' to 'output.mp4' using a CPU container on Modal.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ffmpeg-modal-containers
Download link: https://github.com/JosiahSiegel/claude-plugin-marketplace/archive/main.zip#ffmpeg-modal-containers

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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