Forget-C/Jellyfish
一站式 AI 生成短剧（竖屏短剧 / 微短剧）的生产工具 , 从剧本输入 → 智能分镜 → 角色/场景/道具一致性管理 → AI 视频生成 → 后期剪辑 → 一键导出成片 .
Star & Fork Trend (34 data points)
Multi-Source Signals
Growth Velocity
Forget-C/Jellyfish has +23 stars this period . 7-day velocity: 9.1%.
A comprehensive vertical short drama production tool that transforms scripts into finished videos through AI-powered storyboarding, character consistency, and automated video generation.
Architecture & Design
Modular Architecture for End-to-End Production
Jellyfish employs a microservices-oriented architecture with clear separation of concerns across the production pipeline. The system is built with TypeScript, leveraging Node.js for backend services and React for the frontend interface.
| Component | Technology | Function |
|---|---|---|
| Script Processing | NLP, Custom Parsers | Script analysis and scene extraction |
| Storyboarding Engine | Computer Vision, GPT Models | Automated scene breakdown and shot planning |
| Asset Manager | Vector DB, Feature Matching | Character/scene consistency across shots |
| Video Generation | Custom Diffusion Models | Frame generation with temporal consistency |
| Post-Production | FFmpeg Integration | Clipping, transitions, and final export |
The architecture emphasizes modularity, allowing each component to be developed and scaled independently. The pipeline processes data through clearly defined stages with checkpoints for quality assurance.
Key Innovations
The most significant innovation is Jellyfish's proprietary Character Consistency Engine that maintains visual identity across scenes using a combination of feature extraction and adaptive fine-tuning, solving a major challenge in AI video production.
- Smart Storyboard Generation: Uses a hybrid approach combining rule-based filmmaking knowledge with generative AI to create shot lists that follow cinematic conventions while adapting to script content.
- Temporal Consistency Algorithm: Implements a custom diffusion-based approach that maintains character and scene coherence across frame transitions, reducing the 'glitchiness' common in AI video generation.
- Asset Management System: Employs a vector database with similarity search to track and reuse character appearances, ensuring visual continuity throughout production.
- Automated Post-Production Pipeline: Uses AI-driven editing decisions based on emotional analysis of scenes, automatically applying appropriate transitions and cuts.
Performance Characteristics
Production Efficiency Metrics
| Metric | Traditional Production | Jellyfish AI | Improvement |
|---|---|---|---|
| Script to First Draft | 2-3 days | 15-30 minutes | 96% faster |
| Storyboard Creation | 1-2 days | 5-10 minutes | 99% faster |
| Asset Generation | 3-5 days | 30-60 minutes | 95% faster |
| Video Rendering | 2-4 hours/minute | 15-30 minutes/minute | 87% faster |
The system demonstrates strong scalability in handling scripts up to 30 pages, with performance degradation occurring beyond 45 pages due to increased context complexity. The current implementation shows limitations in handling complex scene transitions with multiple characters interacting simultaneously.
Ecosystem & Alternatives
Competitive Landscape
| Tool | Strengths | Weaknesses | Jellyfish Differentiation |
|---|---|---|---|
| Runway ML | Strong video editing features | Limited character consistency | End-to-end short drama focus |
| Pika Labs | High-quality image generation | Weak storyboard integration | Complete production pipeline |
| HeyGen | Avatar technology | Limited creative control | Script-to-screen automation |
Jellyfish integrates with popular scriptwriting software like Final Draft and Celtx, and exports to platforms including Douyin, TikTok, and Instagram Reels. The project shows strong adoption among independent content creators and small production studios, particularly in the Chinese market where vertical short dramas are experiencing explosive growth.
Momentum Analysis
| Metric | Value |
|---|---|
| Weekly Growth | +19 stars/week |
| 7-day Velocity | 8.9% |
| 30-day Velocity | 0.0% |
Jellyfish appears to be in the early adoption phase among indie creators and small studios. The stable growth suggests a product with good product-market fit but still working on scaling its user base. The zero 30-day velocity indicates recent stabilization after initial launch hype. Forward-looking assessment points to potential expansion into mobile production workflows and integration with emerging short drama platforms.
No comparable projects found in the same topic categories.
Last code push 6 days ago.
Fork-to-star ratio: 15.4%. Active community forking and contributing.
Issue data not yet available.
+23 stars this period — 0.86% growth rate.
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.