# Image Studio Face Swap - Implementation Plan

**Date**: Current Session  
**Status**: ✅ **COMPLETE** - Backend & Frontend Implemented  
**Priority**: ⭐ **HIGH PRIORITY** - **COMPLETED**

---

## 🎯 Overview

Implement Face Swap Studio for Image Studio, following the same reusable architecture pattern as Editing feature.

**Models Integrated** (4 models): ✅ **COMPLETE**
1. ✅ **Image Face Swap Pro** ($0.025) - Enhanced quality, realistic blending
2. ✅ **Image Head Swap** ($0.025) - Full head replacement (face + hair + outline)
3. ✅ **Akool Image Face Swap** ($0.16) - Multi-face swapping (up to 5 faces)
4. ✅ **InfiniteYou** ($0.03) - High-quality identity preservation (ByteDance zero-shot)

---

## 🏗️ Architecture (REUSES EXISTING PATTERNS)

### **Phase 1: Foundation** (Same as Editing)

1. **Protocol & Options**
   - Create `FaceSwapOptions` dataclass in `base.py`
   - Create `FaceSwapProvider` protocol
   - Follow same pattern as `ImageEditProvider`

2. **Unified Entry Point**
   - Add `generate_face_swap()` to `main_image_generation.py`
   - **REUSE**: `_validate_image_operation()` helper
   - **REUSE**: `_track_image_operation_usage()` helper
   - Follow same pattern as `generate_image_edit()`

3. **Provider Implementation**
   - Create `WaveSpeedFaceSwapProvider` in `wavespeed_face_swap_provider.py`
   - **REUSE**: `WaveSpeedClient` for API calls
   - **REUSE**: Polling and download patterns from editing

---

## 📋 Implementation Steps

### **Step 1: Protocol & Options** ✅ **COMPLETE**

**File**: `backend/services/llm_providers/image_generation/base.py`

**Added**:
```python
@dataclass
class FaceSwapOptions:
    base_image_base64: str  # Image to swap face into
    face_image_base64: str  # Face to swap
    model: Optional[str] = None
    target_face_index: Optional[int] = None  # For multi-face images
    target_gender: Optional[str] = None  # "all", "female", "male"
    extra: Optional[Dict[str, Any]] = None

class FaceSwapProvider(Protocol):
    def swap_face(self, options: FaceSwapOptions) -> ImageGenerationResult:
        ...
```

---

### **Step 2: WaveSpeedFaceSwapProvider Structure** ✅ **COMPLETE**

**File**: `backend/services/llm_providers/image_generation/wavespeed_face_swap_provider.py`

**Created**:
- `SUPPORTED_MODELS` dict with 5 models
- `_validate_options()` method
- `_call_wavespeed_face_swap_api()` method
- Helper methods: `get_available_models()`, `get_models_by_tier()`

---

### **Step 3: Unified Entry Point** ✅ **COMPLETE**

**File**: `backend/services/llm_providers/main_image_generation.py`

**Added**:
```python
def generate_face_swap(
    base_image_base64: str,
    face_image_base64: str,
    model: Optional[str] = None,
    options: Optional[Dict[str, Any]] = None,
    user_id: Optional[str] = None
) -> ImageGenerationResult:
    # 1. REUSE: Validation helper
    _validate_image_operation(...)
    
    # 2. Get provider
    provider = _get_face_swap_provider("wavespeed")
    
    # 3. Prepare options
    face_swap_options = FaceSwapOptions(...)
    
    # 4. Swap face
    result = provider.swap_face(face_swap_options)
    
    # 5. REUSE: Tracking helper
    if user_id and result and result.image_bytes:
        _track_image_operation_usage(...)
    
    return result
```

---

### **Step 4: Service Layer** ✅ **COMPLETE**

**File**: `backend/services/image_studio/face_swap_service.py` ✅ **CREATED**

**Created**:
```python
class FaceSwapService:
    async def process_face_swap(
        self,
        request: FaceSwapRequest,
        user_id: Optional[str] = None
    ) -> Dict[str, Any]:
        # Use unified entry point
        result = generate_face_swap(...)
        # Return normalized response
```

---

### **Step 5: API Endpoint** ✅ **COMPLETE**

**File**: `backend/routers/image_studio.py`

**Added**:
```python
@router.post("/face-swap/process")
async def process_face_swap(
    request: FaceSwapRequest,
    current_user: Dict[str, Any] = Depends(get_current_user),
) -> FaceSwapResponse:
    # Call service
```

---

### **Step 6: Frontend** ✅ **COMPLETE**

**Files Created**:
- ✅ `frontend/src/components/ImageStudio/FaceSwapStudio.tsx` - Main component
- ✅ `frontend/src/components/ImageStudio/FaceSwapImageUploader.tsx` - Dual image uploader
- ✅ `frontend/src/components/ImageStudio/FaceSwapResultViewer.tsx` - Side-by-side comparison viewer

**Features Implemented**:
- ✅ Image uploader (base image + face image) with previews
- ✅ Model selector (reuses ModelSelector from Edit Studio)
- ✅ Auto-detection and recommendations
- ✅ Result viewer with side-by-side comparison
- ✅ Download and reset functionality
- ✅ Route: `/image-studio/face-swap`
- ✅ Added to Image Studio Dashboard modules

---

## 📊 Model Registry Structure

```python
SUPPORTED_MODELS = {
    "image-face-swap": {
        "model_path": "wavespeed-ai/image-face-swap",
        "name": "Image Face Swap",
        "cost": 0.01,
        "tier": "budget",
        "features": ["basic_swap"],
        "max_faces": 1,
    },
    "image-face-swap-pro": {
        "model_path": "wavespeed-ai/image-face-swap-pro",
        "name": "Image Face Swap Pro",
        "cost": 0.025,
        "tier": "mid",
        "features": ["enhanced_blending", "realistic"],
    },
    "image-head-swap": {
        "model_path": "wavespeed-ai/image-head-swap",
        "name": "Image Head Swap",
        "cost": 0.025,
        "tier": "mid",
        "features": ["full_head", "hair_included"],
    },
    "akool-face-swap": {
        "model_path": "akool/image-face-swap",
        "name": "Akool Face Swap",
        "cost": 0.16,
        "tier": "premium",
        "features": ["multi_face", "group_photos"],
        "max_faces": None,  # Unlimited
    },
    "infinite-you": {
        "model_path": "wavespeed-ai/infinite-you",
        "name": "InfiniteYou",
        "cost": 0.05,
        "tier": "mid",
        "features": ["identity_preservation", "high_quality"],
    },
}
```

---

## 🔄 Reusability Checklist

- [x] Reuse `_validate_image_operation()` helper
- [x] Reuse `_track_image_operation_usage()` helper
- [x] Reuse `WaveSpeedClient` for API calls
- [x] Reuse polling/download patterns
- [x] Follow same provider protocol pattern
- [x] Follow same service layer pattern
- [x] Follow same API endpoint pattern

---

## ✅ Implementation Summary

### **Backend** ✅ **COMPLETE**
- ✅ Protocol & Options (`FaceSwapOptions`, `FaceSwapProvider`)
- ✅ `WaveSpeedFaceSwapProvider` with 4 models integrated
- ✅ Unified entry point (`generate_face_swap()` in `main_image_generation.py`)
- ✅ `FaceSwapService` with auto-detection and recommendations
- ✅ API endpoints: `/face-swap/process`, `/face-swap/models`, `/face-swap/recommend`

### **Frontend** ✅ **COMPLETE**
- ✅ `FaceSwapStudio` component with full UI
- ✅ `FaceSwapImageUploader` for dual image upload
- ✅ `FaceSwapResultViewer` for side-by-side comparison
- ✅ Model selection with auto-detection
- ✅ Integration with `useImageStudio` hook
- ✅ Route and dashboard integration

### **Features**
- ✅ 4 AI models integrated (Image Face Swap Pro, Image Head Swap, Akool, InfiniteYou)
- ✅ Auto-detection based on image resolution
- ✅ Smart recommendations with explanations
- ✅ Model selection UI with search and filtering
- ✅ Cost transparency and tier-based filtering

---

## 📝 Next Steps

**Face Swap Studio is complete!** ✅

**Recommended next feature**: See [Image Studio Enhancement Proposal](docs/IMAGE_STUDIO_ENHANCEMENT_PROPOSAL.md) for next features:
1. **Phase 1 Quick Wins**: Image Compression, Format Converter, Image Resizer (Pillow/FFmpeg)
2. **Phase 2 WaveSpeed**: Enhanced Upscale Studio, Image Translation, 3D Studio
