AI Researcher and Video Studio implementation complete
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# Image Studio Face Swap - Implementation Status
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**Date**: Current Session
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**Status**: 🚧 **IN PROGRESS** - Foundation Started
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**Priority**: ⭐ **HIGH PRIORITY**
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---
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## ✅ Completed
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### **Step 1: Protocol & Options** ✅
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**File**: `backend/services/llm_providers/image_generation/base.py`
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**Added**:
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- ✅ `FaceSwapOptions` dataclass - Complete with all fields
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- ✅ `FaceSwapProvider` protocol - Follows same pattern as `ImageEditProvider`
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- ✅ `to_dict()` method - Converts options to API-friendly format
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**Status**: ✅ Complete
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---
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## 📋 Next Steps
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### **Step 2: WaveSpeedFaceSwapProvider Structure**
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- Create `wavespeed_face_swap_provider.py`
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- Add `SUPPORTED_MODELS` dict (5 models)
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- Add validation and helper methods
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### **Step 3: Unified Entry Point**
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- Add `generate_face_swap()` to `main_image_generation.py`
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- Reuse validation/tracking helpers
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- Add `_get_face_swap_provider()` helper
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### **Step 4: Service & API**
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- Create `FaceSwapService`
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- Add API endpoint
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- Create frontend component
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---
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## 📝 Models to Integrate (5 Models)
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1. **Image Face Swap** ($0.01) - Basic
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2. **Image Face Swap Pro** ($0.025) - Enhanced
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3. **Image Head Swap** ($0.025) - Full head
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4. **Akool Face Swap** ($0.16) - Multi-face
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5. **InfiniteYou** ($0.05) - High-quality
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**Status**: ⏳ Waiting for model documentation
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---
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*Foundation started - Ready for model documentation and provider implementation*
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