261 lines
8.6 KiB
Markdown
261 lines
8.6 KiB
Markdown
# Video Studio Feature Analysis & Implementation Plan
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## 1. Transform Studio - AI Model Documentation Review
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### ✅ Phase 1 Complete (FFmpeg Features)
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- Format Conversion (MP4, MOV, WebM, GIF)
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- Aspect Ratio Conversion (16:9, 9:16, 1:1, 4:5, 21:9)
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- Speed Adjustment (0.25x - 4x)
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- Resolution Scaling (480p - 4K)
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- Compression (File size optimization)
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### ⚠️ Phase 2 Pending (Style Transfer - Needs Documentation)
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**Required AI Models for Style Transfer:**
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1. **WAN 2.1 Ditto** - Video-to-Video Restyle
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- Model: `wavespeed-ai/wan-2.1/ditto`
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- Purpose: Apply artistic styles to videos
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- Status: ⚠️ **Documentation needed**
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- Documentation Requirements:
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- API endpoint URL
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- Input parameters (video, style prompt, style reference image)
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- Output format and metadata
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- Pricing structure
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- Supported resolutions (480p, 720p, 1080p?)
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- Duration limits
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- Use cases and best practices
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- WaveSpeed Link: Need to verify/find
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2. **WAN 2.1 Synthetic-to-Real Ditto**
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- Model: `wavespeed-ai/wan-2.1/synthetic-to-real-ditto`
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- Purpose: Convert AI-generated videos to realistic style
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- Status: ⚠️ **Documentation needed**
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- Documentation Requirements: Same as above
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**Optional Models (Future):**
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- `mirelo-ai/sfx-v1.5/video-to-video` - Alternative style transfer
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- `decart/lucy-edit-pro` - Advanced editing and style transfer
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---
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## 2. Face Swap Feature Analysis
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### Current Status: ⚠️ **Partially Implemented (Stub)**
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**Backend Code Found:**
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- `backend/routers/video_studio/endpoints/avatar.py` - Endpoint accepts `video_file` parameter for face swap
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- `backend/services/video_studio/video_studio_service.py` - `generate_avatar_video()` method references face swap
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- Model mapping: `"wavespeed/mocha": "wavespeed/mocha/face-swap"`
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**Issues Found:**
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- ❌ `WaveSpeedClient.generate_video()` method **DOES NOT EXIST**
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- ❌ Face swap functionality is **NOT IMPLEMENTED**
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- ⚠️ Code structure exists but calls non-existent method
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**Documentation References:**
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- Comprehensive Plan mentions: `wavespeed-ai/wan-2.1/mocha` (face swap)
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- Model catalog lists: `wavespeed-ai/wan-2.1/mocha`, `wavespeed-ai/video-face-swap`
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**Required Documentation:**
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1. **WAN 2.1 MoCha Face Swap**
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- Model: `wavespeed-ai/wan-2.1/mocha` or `wavespeed-ai/wan-2.1/mocha/face-swap`
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- Purpose: Swap faces in videos
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- Documentation needed:
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- API endpoint
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- Input parameters (source video, face image, optional mask)
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- Output format
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- Pricing
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- Supported resolutions/durations
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- Face detection requirements
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- Best practices
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2. **Video Face Swap (Alternative)**
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- Model: `wavespeed-ai/video-face-swap` (if different from MoCha)
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- Documentation: Same as above
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**Recommendation:**
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- Face swap should be part of **Edit Studio** (not Avatar Studio)
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- Avatar Studio is for talking avatars (photo + audio → talking video)
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- Face swap is for replacing faces in existing videos (video + face image → swapped video)
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---
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## 3. Video Translation Feature Analysis
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### Current Status: ⚠️ **Partially Implemented (Stub)**
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**Backend Code Found:**
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- `backend/services/video_studio/video_studio_service.py` - References `heygen/video-translate`
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- Model mapping: `"heygen/video-translate": "heygen/video-translate"`
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- Listed in available models but **NOT IMPLEMENTED**
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**Documentation References:**
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- Comprehensive Plan mentions: `heygen/video-translate` (dubbing/translation)
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- Model catalog lists: Audio/foley/dubbing models
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**Required Documentation:**
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1. **HeyGen Video Translate**
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- Model: `heygen/video-translate`
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- Purpose: Translate video language with lip-sync
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- Documentation needed:
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- API endpoint
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- Input parameters (video, source language, target language)
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- Output format
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- Pricing
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- Supported languages
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- Duration limits
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- Lip-sync quality
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- Best practices
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**Alternative Models (If HeyGen not available):**
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- `wavespeed-ai/hunyuan-video-foley` - Audio generation
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- `wavespeed-ai/think-sound` - Audio generation
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- May need separate translation service + audio generation
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**Recommendation:**
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- Video translation should be part of **Edit Studio** or a separate **Localization Studio**
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- Could be integrated with Avatar Studio for multilingual avatar videos
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- Consider workflow: Video → Translate Audio → Generate Lip-Sync → Output
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---
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## 4. Social Optimizer Implementation Plan
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### Overview
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Social Optimizer creates platform-optimized versions of videos for Instagram, TikTok, YouTube, LinkedIn, Facebook, and Twitter.
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### Features to Implement
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#### Core Features (FFmpeg-based - Can Start Immediately):
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1. **Platform Presets**
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- Instagram Reels (9:16, max 90s)
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- TikTok (9:16, max 60s)
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- YouTube Shorts (9:16, max 60s)
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- LinkedIn Video (16:9, max 10min)
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- Facebook (16:9 or 1:1, max 240s)
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- Twitter/X (16:9, max 140s)
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2. **Aspect Ratio Conversion**
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- Auto-crop to platform ratio (reuse Transform Studio logic)
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- Smart cropping (center, face detection)
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- Letterboxing/pillarboxing
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3. **Duration Trimming**
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- Auto-trim to platform max duration
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- Smart trimming (keep beginning, middle, or end)
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- User-selectable trim points
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4. **File Size Optimization**
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- Compress to meet platform limits
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- Quality presets per platform
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- Bitrate optimization
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5. **Thumbnail Generation**
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- Extract frame from video (FFmpeg)
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- Generate multiple thumbnails (start, middle, end)
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- Custom thumbnail selection
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#### Advanced Features (May Need AI):
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6. **Caption Overlay**
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- Auto-caption generation (speech-to-text)
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- Platform-specific caption styles
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- Safe zone overlays
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7. **Safe Zone Visualization**
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- Show text-safe areas per platform
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- Visual overlay in preview
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- Platform-specific guidelines
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### Implementation Strategy
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**Phase 1: Core Features (FFmpeg)**
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- Platform presets and aspect ratio conversion
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- Duration trimming
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- File size compression
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- Basic thumbnail generation
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- Batch export for multiple platforms
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**Phase 2: Advanced Features**
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- Caption overlay (may need speech-to-text API)
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- Safe zone visualization
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- Enhanced thumbnail generation
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### Technical Approach
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**Backend:**
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- Reuse `video_processors.py` from Transform Studio
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- Create `social_optimizer_service.py`
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- Platform specifications (aspect ratios, durations, file size limits)
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- Batch processing for multiple platforms
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**Frontend:**
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- Platform selection checkboxes
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- Preview grid showing all platform versions
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- Individual download or batch download
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- Progress tracking for batch operations
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### Platform Specifications
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| Platform | Aspect Ratio | Max Duration | Max File Size | Formats |
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|----------|--------------|--------------|---------------|---------|
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| Instagram Reels | 9:16 | 90s | 4GB | MP4 |
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| TikTok | 9:16 | 60s | 287MB | MP4, MOV |
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| YouTube Shorts | 9:16 | 60s | 256GB | MP4, MOV, WebM |
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| LinkedIn | 16:9, 1:1 | 10min | 5GB | MP4 |
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| Facebook | 16:9, 1:1 | 240s | 4GB | MP4, MOV |
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| Twitter/X | 16:9 | 140s | 512MB | MP4 |
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---
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## Summary & Recommendations
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### Transform Studio
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- ✅ **Phase 1 Complete**: All FFmpeg features implemented
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- ⚠️ **Phase 2 Pending**: Need documentation for style transfer models (Ditto)
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### Face Swap
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- ⚠️ **Not Implemented**: Code structure exists but functionality missing
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- 📋 **Action Required**:
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- Get WaveSpeed documentation for `wavespeed-ai/wan-2.1/mocha` or `wavespeed-ai/video-face-swap`
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- Implement face swap in **Edit Studio** (not Avatar Studio)
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- Add face swap tab to Edit Studio UI
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### Video Translation
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- ⚠️ **Not Implemented**: Only referenced in code, no actual implementation
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- 📋 **Action Required**:
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- Get HeyGen documentation for `heygen/video-translate`
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- Or find alternative translation + lip-sync solution
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- Consider adding to Edit Studio or separate Localization module
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### Social Optimizer
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- ✅ **Can Start Immediately**: 80% of features use FFmpeg (reuse Transform Studio processors)
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- 📋 **Implementation Plan**:
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- Phase 1: Platform presets, aspect conversion, trimming, compression, thumbnails
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- Phase 2: Caption overlay, safe zones (may need additional APIs)
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---
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## Next Steps Priority
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1. **Social Optimizer** (Immediate - No AI docs needed)
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- Reuse Transform Studio processors
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- Platform specifications
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- Batch processing
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2. **Face Swap** (After Social Optimizer)
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- Get WaveSpeed MoCha documentation
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- Implement in Edit Studio
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- Add UI for face selection
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3. **Video Translation** (After Face Swap)
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- Get HeyGen documentation
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- Implement translation + lip-sync
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- Add to Edit Studio or separate module
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4. **Style Transfer** (Transform Studio Phase 2)
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- Get Ditto model documentation
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- Add style transfer tab to Transform Studio
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