FireRed-OpenStoryline  by FireRedTeam

Conversational AI for automated video creation

Created 2 weeks ago

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459 stars

Top 65.9% on SourcePulse

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Project Summary

Summary

FireRed-OpenStoryline transforms complex video creation into an intuitive, conversational process. It targets beginners and creative enthusiasts by offering an accessible yet enterprise-grade platform, leveraging SOTA AI capabilities to simplify and ignite imagination in video production.

How It Works

This project uses a conversational AI agent for video creation via natural language prompts. It integrates smart media search, intelligent script generation with few-shot style transfer for precise tone replication, and AI-driven recommendations for music, voiceovers, and fonts. Edits—from clip swapping to script and visual tuning—are performed conversationally. A key feature is "Editing Skill Archiving," allowing users to save and reuse complete editing workflows for efficient batch creation.

Quick Start & Requirements

Installation involves cloning the repo, setting up a Python 3.11 Conda environment, and running a setup script (build_env.sh on Linux/macOS) or manual resource downloads/dependency installation (pip install -r requirements.txt). Windows users follow a manual process. API keys in config.toml are mandatory. Interaction is via an MCP server and then a Command Line Interface (cli.py) or Web Interface (uvicorn agent_fastapi:app). Docker images are available. Links to a HuggingFace Demo, Homepage, API Key Configuration, and Usage Tutorial are provided.

Highlighted Details

  • Smart Media Search & Organization: Automatically finds and downloads relevant media based on requirements.
  • Intelligent Script Generation: Creates storylines and narration, with few-shot style transfer
Health Check
Last Commit

1 week ago

Responsiveness

Inactive

Pull Requests (30d)
11
Issues (30d)
10
Star History
468 stars in the last 18 days

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