moreminimore-marketing/docs/TRANSFORM_STUDIO_IMPLEMENTATION_PLAN.md

Transform Studio Implementation Plan

Overview

Transform Studio allows users to convert videos between formats, change aspect ratios, adjust speed, compress, and apply style transfers to videos.

Features Breakdown

✅ No AI Documentation Needed (FFmpeg/MoviePy-based)

These features can be implemented immediately using existing video processing libraries:

1. Format Conversion (MP4, MOV, WebM, GIF)

   • Tool: FFmpeg/MoviePy
   • No AI models needed
   • Can implement immediately

2. Aspect Ratio Conversion (16:9 ↔ 9:16 ↔ 1:1)

   • Tool: FFmpeg/MoviePy
   • No AI models needed
   • Can implement immediately

3. Speed Adjustment (Slow motion, fast forward)

   • Tool: FFmpeg/MoviePy
   • No AI models needed
   • Can implement immediately

4. Resolution Scaling (Scale up or down)

   • Tool: FFmpeg/MoviePy
   • Note: We already have FlashVSR for AI upscaling (in Enhance Studio)
   • For downscaling/simple scaling, FFmpeg is sufficient
   • Can implement immediately

5. Compression (Optimize file size)

   • Tool: FFmpeg/MoviePy
   • No AI models needed
   • Can implement immediately

⚠️ AI Documentation Needed (Style Transfer)

For video-to-video style transfer, we need WaveSpeed AI model documentation:

Required Models:

1. WAN 2.1 Ditto - Video-to-Video Restyle

   • Model: wavespeed-ai/wan-2.1/ditto
   • Purpose: Apply artistic styles to videos
   • Documentation needed:
     • API endpoint
     • Input parameters (video, style prompt/reference)
     • Output format
     • Pricing
     • Supported resolutions/durations
     • Use cases and best practices
   • WaveSpeed Link: Need to find/verify

2. WAN 2.1 Synthetic-to-Real Ditto

   • Model: wavespeed-ai/wan-2.1/synthetic-to-real-ditto
   • Purpose: Convert synthetic/AI-generated videos to realistic style
   • Documentation needed:
     • API endpoint
     • Input parameters
     • Output format
     • Pricing
     • Use cases
   • WaveSpeed Link: Need to find/verify

Optional Models (Future):

3. SFX V1.5 Video-to-Video

   • Model: mirelo-ai/sfx-v1.5/video-to-video
   • Purpose: Video style transfer
   • Documentation: Can be added later

4. Lucy Edit Pro

   • Model: decart/lucy-edit-pro
   • Purpose: Advanced video editing and style transfer
   • Documentation: Can be added later

Implementation Strategy

Phase 1: Immediate Implementation (No Docs Needed)

Start with FFmpeg-based features:

1. Format Conversion

   • MP4, MOV, WebM, GIF
   • Codec selection (H.264, VP9, etc.)
   • Quality presets

2. Aspect Ratio Conversion

   • 16:9, 9:16, 1:1, 4:5, 21:9
   • Smart cropping (center, face detection, etc.)
   • Letterboxing/pillarboxing options

3. Speed Adjustment

   • 0.25x, 0.5x, 1.5x, 2x, 4x
   • Smooth frame interpolation

4. Resolution Scaling

   • Scale to target resolution
   • Maintain aspect ratio
   • Quality presets

5. Compression

   • Target file size
   • Quality-based compression
   • Bitrate control

Phase 2: Style Transfer (After Documentation)

Once we have model documentation:

1. Add Style Transfer Tab
2. Implement WAN 2.1 Ditto integration
3. Implement Synthetic-to-Real Ditto
4. Add style presets (Cinematic, Vintage, Artistic, etc.)

Technical Implementation

Backend Structure

backend/services/video_studio/
├── transform_service.py          # Main transform service
├── video_processors/
│   ├── format_converter.py       # Format conversion (FFmpeg)
│   ├── aspect_converter.py       # Aspect ratio conversion (FFmpeg)
│   ├── speed_adjuster.py         # Speed adjustment (FFmpeg)
│   ├── resolution_scaler.py      # Resolution scaling (FFmpeg)
│   └── compressor.py             # Compression (FFmpeg)
└── style_transfer/
    └── ditto_service.py          # Style transfer (WaveSpeed AI) - Phase 2

Frontend Structure

frontend/src/components/VideoStudio/modules/TransformVideo/
├── TransformVideo.tsx            # Main component
├── components/
│   ├── VideoUpload.tsx           # Shared video upload
│   ├── VideoPreview.tsx          # Shared video preview
│   ├── TransformTabs.tsx         # Tab navigation
│   ├── FormatConverter.tsx       # Format conversion UI
│   ├── AspectConverter.tsx       # Aspect ratio UI
│   ├── SpeedAdjuster.tsx         # Speed adjustment UI
│   ├── ResolutionScaler.tsx      # Resolution scaling UI
│   ├── Compressor.tsx            # Compression UI
│   └── StyleTransfer.tsx         # Style transfer UI (Phase 2)
└── hooks/
    └── useTransformVideo.ts      # Shared state management

API Endpoint

POST /api/video-studio/transform

Request Parameters:

{
  file: File,                      // Video file
  transform_type: string,          // "format" | "aspect" | "speed" | "resolution" | "compress" | "style"
  
  // Format conversion
  output_format?: "mp4" | "mov" | "webm" | "gif",
  codec?: "h264" | "vp9" | "h265",
  quality?: "high" | "medium" | "low",
  
  // Aspect ratio
  target_aspect?: "16:9" | "9:16" | "1:1" | "4:5" | "21:9",
  crop_mode?: "center" | "smart" | "letterbox",
  
  // Speed
  speed_factor?: number,           // 0.25, 0.5, 1.0, 1.5, 2.0, 4.0
  
  // Resolution
  target_resolution?: string,      // "480p" | "720p" | "1080p"
  maintain_aspect?: boolean,
  
  // Compression
  target_size_mb?: number,         // Target file size in MB
  quality?: "high" | "medium" | "low",
  
  // Style transfer (Phase 2)
  style_prompt?: string,
  style_reference?: File,
  model?: "ditto" | "synthetic-to-real-ditto",
}

Summary

Can Start Immediately ✅

• Format Conversion
• Aspect Ratio Conversion
• Speed Adjustment
• Resolution Scaling
• Compression

Tools: FFmpeg/MoviePy (already available in codebase via MoviePy)

Need Documentation First ⚠️

• Style Transfer - Need WaveSpeed AI model docs for:
  1. wavespeed-ai/wan-2.1/ditto
  2. wavespeed-ai/wan-2.1/synthetic-to-real-ditto

Recommendation

1. Start Phase 1 (FFmpeg features) - Can implement immediately
2. Request documentation for style transfer models
3. Implement Phase 2 (Style transfer) once docs are available

This allows us to deliver 80% of Transform Studio functionality immediately while waiting for AI model documentation.