hbai-ltd/toonflow-app

Toonflow 是开源一站式 AI 短剧创作工具,将小说、剧本快速转化为动画短剧。集成 AI 编剧、智能分镜、角色与视频生成,跨平台桌面端轻量部署,助力创作者低成本批量产出视觉内容。Toonflow is an open-source AI tool that turns stories and...

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Summary Information

Updated 29 minutes ago
Added to GitGenius on September 1st, 2026
Created on January 29th, 2026
Open Issues & Pull Requests: 4 (+0)
GitHub issues: Enabled
Number of forks: 2,737
Total Stargazers: 15,223 (+0)
Total Subscribers: 70 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.4 hours
Mean response time: 12.1 hours
90th percentile: 35.0 hours
Tracked items: 82

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 24% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

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Issue Activity (beta)

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

Recent activity

Opened in 7 days: 1
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 2

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Detailed Description

Toonflow is a desktop application that converts stories and scripts into animated short dramas using AI-powered tools.

The tool addresses the challenge of producing animated video content at scale by automating the entire pipeline from text to finished video. It integrates AI scriptwriting, intelligent storyboarding, character generation, and video synthesis into a single workflow. Users input a story or script, and the system handles scene breakdown, character design, and video generation with minimal manual intervention. The application runs as a cross-platform desktop client built with Electron, enabling lightweight deployment without requiring server infrastructure.

Toonflow suits content creators and studios seeking to produce short-form video content efficiently and at low cost. It is designed for creators working with narrative material who want to bypass traditional animation production bottlenecks. The tool targets users who prioritize speed and batch production over frame-by-frame customization. The README does not compare it to alternative tools, so no positioning against competitors can be stated.

The project maintains active development with regular commits and ongoing issue resolution. The codebase is written in TypeScript and uses Vue 3 for the frontend with Vite as the build tool, indicating a modern development stack. The project is distributed across multiple repository platforms and maintains community engagement through Discord.