ALwrity/docs/TEXT_TO_VIDEO_PHASE1_STATUS.md

Text-to-Video Phase 1 - Implementation Status

✅ Base Structure Created

Directory Structure

backend/services/llm_providers/video_generation/
├── __init__.py                    # Module exports
├── base.py                        # Base classes and interfaces
└── wavespeed_provider.py          # WaveSpeed text-to-video services

Files Created

1. base.py - Base classes:

   • VideoGenerationOptions - Options dataclass
   • VideoGenerationResult - Result dataclass
   • VideoGenerationProvider - Protocol interface

2. wavespeed_provider.py - WaveSpeed services:

   • BaseWaveSpeedTextToVideoService - Base class with common logic
   • HunyuanVideoService - Placeholder for HunyuanVideo-1.5
   • get_wavespeed_text_to_video_service() - Factory function

Architecture

Separation of Concerns:

• Each model has its own service class
• Base class handles common validation and structure
• Factory function routes to appropriate service
• Follows same pattern as image_generation/ module

Current Status:

• ✅ Base structure created
• ✅ HunyuanVideoService placeholder created
• ⏳ Waiting for model documentation to implement

Next Steps

1. Provide Model Documentation

Please provide documentation for HunyuanVideo-1.5 including:

• API endpoint path
• Request payload structure
• Required parameters
• Optional parameters
• Response format
• Pricing/cost calculation
• Any special features or limitations

2. Implement HunyuanVideoService

Once documentation is provided, I will:

• Implement generate_video() method
• Add proper validation
• Integrate with WaveSpeedClient
• Add progress callback support
• Return proper metadata dict

3. Integrate into Unified Entry Point

• Add _generate_text_to_video_wavespeed() to main_video_generation.py
• Route to appropriate service based on model
• Handle async/sync properly

4. Test and Validate

• Test with real API calls
• Verify all features work
• Ensure backward compatibility

5. Add Remaining Models

• Follow same pattern for LTX-2 Pro, Fast, Retake
• Reuse common logic
• Model-specific differences only

Model Selection

Starting Model: HunyuanVideo-1.5

• Most commonly used
• Good documentation availability
• Standard parameters

Alternative: Any model you prefer - we'll follow the same pattern.

Ready for Documentation

The structure is ready. Please provide:

1. HunyuanVideo-1.5 API documentation
2. Any specific requirements or features
3. Pricing information (if available)

Once provided, I'll implement the service following the established pattern.