148 lines
5.0 KiB
Markdown
148 lines
5.0 KiB
Markdown
# HunyuanVideo-1.5 Text-to-Video Implementation - Complete ✅
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## Summary
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Successfully implemented HunyuanVideo-1.5 text-to-video generation with modular architecture, following separation of concerns principles.
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## Implementation Details
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### 1. Service Structure ✅
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**File**: `backend/services/llm_providers/video_generation/wavespeed_provider.py`
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- **`HunyuanVideoService`**: Complete implementation
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- Model-specific validation (duration: 5, 8, or 10 seconds, resolution: 480p or 720p)
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- Based on official API docs: https://wavespeed.ai/docs/docs-api/wavespeed-ai/hunyuan-video-1.5-text-to-video
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- Size format conversion (resolution + aspect_ratio → "width*height")
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- Cost calculation ($0.02/s for 480p, $0.04/s for 720p)
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- Full API integration (submit → poll → download)
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- Progress callback support
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- Comprehensive error handling
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### 2. Unified Entry Point Integration ✅
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**File**: `backend/services/llm_providers/main_video_generation.py`
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- **`_generate_text_to_video_wavespeed()`**: New async function
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- Routes to appropriate service based on model
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- Handles all parameters
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- Returns standardized metadata dict
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- **`ai_video_generate()`**: Updated
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- Now supports WaveSpeed text-to-video
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- Default model: `hunyuan-video-1.5`
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- Async/await properly handled
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### 3. API Integration ✅
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**Model**: `wavespeed-ai/hunyuan-video-1.5/text-to-video`
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**Parameters Supported**:
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- ✅ `prompt` (required)
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- ✅ `negative_prompt` (optional)
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- ✅ `size` (auto-calculated from resolution + aspect_ratio)
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- ✅ `duration` (5, 8, or 10 seconds)
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- ✅ `seed` (optional, default: -1)
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**Workflow**:
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1. ✅ Submit request to WaveSpeed API
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2. ✅ Get prediction ID
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3. ✅ Poll `/api/v3/predictions/{id}/result` with progress callbacks
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4. ✅ Download video from `outputs[0]`
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5. ✅ Return metadata dict
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### 4. Features ✅
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- ✅ **Pre-flight validation**: Subscription limits checked before API calls
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- ✅ **Usage tracking**: Integrated with existing tracking system
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- ✅ **Progress callbacks**: Real-time progress updates (10% → 20-80% → 90% → 100%)
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- ✅ **Error handling**: Comprehensive error messages with prediction_id for resume
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- ✅ **Cost calculation**: Accurate pricing ($0.02/s 480p, $0.04/s 720p)
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- ✅ **Metadata return**: Full metadata including dimensions, cost, prediction_id
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### 5. Size Format Mapping ✅
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**Resolution → Size Format**:
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- `480p` + `16:9` → `"832*480"` (landscape)
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- `480p` + `9:16` → `"480*832"` (portrait)
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- `720p` + `16:9` → `"1280*720"` (landscape)
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- `720p` + `9:16` → `"720*1280"` (portrait)
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### 6. Validation ✅
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**HunyuanVideo-1.5 Specific**:
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- Duration: Must be 5, 8, or 10 seconds (per official API docs)
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- Resolution: Must be 480p or 720p (not 1080p)
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- Prompt: Required and cannot be empty
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## Code Structure
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```
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backend/services/llm_providers/
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├── main_video_generation.py # Unified entry point
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│ ├── ai_video_generate() # Main function (async)
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│ └── _generate_text_to_video_wavespeed() # WaveSpeed router
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│
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└── video_generation/ # Modular services
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├── base.py # Base classes
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└── wavespeed_provider.py # WaveSpeed services
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├── BaseWaveSpeedTextToVideoService # Base class
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├── HunyuanVideoService # ✅ Implemented
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└── get_wavespeed_text_to_video_service() # Factory
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```
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## Usage Example
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```python
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from services.llm_providers.main_video_generation import ai_video_generate
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result = await ai_video_generate(
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prompt="A tiny robot hiking across a kitchen table",
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operation_type="text-to-video",
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provider="wavespeed",
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model="hunyuan-video-1.5",
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duration=5,
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resolution="720p",
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user_id="user123",
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progress_callback=lambda progress, msg: print(f"{progress}%: {msg}")
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)
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video_bytes = result["video_bytes"]
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cost = result["cost"] # $0.20 for 5s @ 720p
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```
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## Testing Checklist
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- [ ] Test with valid prompt
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- [ ] Test with 5-second duration
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- [ ] Test with 8-second duration
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- [ ] Test with 10-second duration
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- [ ] Test with 480p resolution
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- [ ] Test with 720p resolution
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- [ ] Test with negative_prompt
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- [ ] Test with seed
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- [ ] Test progress callbacks
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- [ ] Test error handling (invalid duration)
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- [ ] Test error handling (invalid resolution)
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- [ ] Test cost calculation
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- [ ] Test metadata return
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## Next Steps
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1. ✅ **HunyuanVideo-1.5**: Complete
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2. ⏳ **LTX-2 Pro**: Pending documentation
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3. ⏳ **LTX-2 Fast**: Pending documentation
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4. ⏳ **LTX-2 Retake**: Pending documentation
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## Notes
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- **Audio support**: Not supported by HunyuanVideo-1.5 (ignored with warning)
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- **Prompt expansion**: Not supported by HunyuanVideo-1.5 (ignored with warning)
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- **Aspect ratio**: Used for size calculation (landscape vs portrait)
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- **Polling interval**: 0.5 seconds (as per example code)
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- **Timeout**: 10 minutes maximum
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## Ready for Testing ✅
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The implementation is complete and ready for testing. All features are implemented following the modular architecture with separation of concerns.
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