chatfire-ai/huobao-drama

🎬 火宝短剧 - 基于AI的一站式短剧生成平台 《一句话生成完整短剧,从剧本到成片全自动化》 Huobao Drama - An AI-Powered End-to-End Short Drama Generator "One Sentence to Complete Drama: Fully...

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Summary Information

Updated 43 minutes ago
Added to GitGenius on September 1st, 2026
Created on January 5th, 2026
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 2,751
Total Stargazers: 14,855 (+1)
Total Subscribers: 83 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 32.1 hours
Mean response time: 33.7 days
90th percentile: 158.0 days
Tracked items: 65

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 28% of issues opened in the past year have been closed. Three people close 92% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 0
New in 7 days: 1
Closed in 7 days: 2
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Huobao Drama is an AI-powered end-to-end short drama generation platform that automates video production from script to final output.

The platform solves the challenge of labor-intensive short drama production by automating the entire workflow. It uses large language models to parse scripts and extract characters, scenes, and shot sequences. AI image generation creates character designs and backgrounds, while text-to-video and image-to-video models automatically generate individual shots. The tool then combines these elements using FFmpeg for compositing, subtitle handling, and final assembly into complete episodes.

The project suits teams and creators who need to produce short-form video content at scale without extensive manual design and editing work. It works best for those willing to integrate with external AI services through API keys for text generation, image creation, and video synthesis. The platform includes built-in support for multiple providers: OpenAI and Gemini for text, OpenAI, Gemini, and Volcano Engine for images, and Volcano Engine Seedance for video generation. All configuration happens through the web interface rather than configuration files, making setup straightforward for users comfortable with cloud-based AI services.

The project maintains active development with regular feature additions and refinements to its agent-based architecture. The codebase shows consistent attention to developer experience, including zero-configuration local startup with sensible defaults and comprehensive environment variable documentation. The tool demonstrates ongoing investment in multi-vendor integration support and resource management capabilities, with clear documentation of supported models and their configurations. Development activity reflects a focus on practical usability, with built-in FFmpeg binaries eliminating external dependencies and Docker deployment options provided for production environments.