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Kunthawat Greethong
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# LTX-2 Pro Implementation Review ✅
## Documentation Review
**Official API Documentation**: https://wavespeed.ai/docs/docs-api/lightricks/lightricks-ltx-2-pro-text-to-video
### ✅ Implementation Verification
| Feature | Official Docs | Our Implementation | Status |
|---------|--------------|-------------------|--------|
| **Duration** | 6, 8, 10 seconds | 6, 8, 10 seconds | ✅ Correct |
| **generate_audio** | boolean, default: true | boolean, default: true | ✅ Correct |
| **Resolution** | Fixed 1080p | Fixed 1080p (1920x1080) | ✅ Correct |
| **Pricing** | $0.06/s (1080p) | $0.06/s (1080p) | ✅ Updated |
| **prompt** | Required | Required | ✅ Correct |
| **negative_prompt** | Not supported | Ignored with warning | ✅ Correct |
| **seed** | Not supported | Ignored with warning | ✅ Correct |
| **API Endpoint** | `lightricks/ltx-2-pro/text-to-video` | `lightricks/ltx-2-pro/text-to-video` | ✅ Correct |
### ✅ Polling Implementation Review
**Our Polling Implementation**:
```python
result = await asyncio.to_thread(
self.client.poll_until_complete,
prediction_id,
timeout_seconds=600, # 10 minutes max
interval_seconds=0.5, # Poll every 0.5 seconds
progress_callback=progress_callback,
)
```
**WaveSpeedClient.poll_until_complete()** Features:
-**Status Checking**: Checks for "completed" or "failed" status
-**Timeout Handling**: 10-minute timeout (600 seconds)
-**Polling Interval**: 0.5 seconds (fast polling)
-**Progress Callbacks**: Supports real-time progress updates
-**Error Handling**:
- Transient errors (5xx): Retries with exponential backoff
- Non-transient errors (4xx): Fails after max consecutive errors
- Timeout: Raises HTTPException with prediction_id for resume
-**Resume Support**: Returns prediction_id in error details for resume capability
**Polling Flow**:
1. ✅ Submit request → Get prediction_id
2. ✅ Poll `/api/v3/predictions/{id}/result` every 0.5 seconds
3. ✅ Check status: "created", "processing", "completed", or "failed"
4. ✅ Handle errors with backoff and resume support
5. ✅ Download video from `outputs[0]` when completed
**Matches Official API Pattern**:
- ✅ Uses GET `/api/v3/predictions/{id}/result` endpoint
- ✅ Checks `data.status` field
- ✅ Extracts `data.outputs` array for video URL
- ✅ Handles `data.error` field for failures
### ✅ Implementation Status
**All Requirements Met**:
- ✅ Correct API endpoint
- ✅ Correct parameters (prompt, duration, generate_audio)
- ✅ Correct validation (duration: 6, 8, 10)
- ✅ Correct pricing ($0.06/s)
- ✅ Correct polling implementation
- ✅ Progress callbacks supported
- ✅ Error handling with resume support
- ✅ Metadata return (1920x1080, cost, prediction_id)
## Polling Implementation Analysis
### Strengths ✅
1. **Robust Error Handling**:
- Distinguishes between transient (5xx) and non-transient (4xx) errors
- Exponential backoff for transient errors
- Max consecutive error limit for non-transient errors
2. **Resume Support**:
- Returns `prediction_id` in error details
- Allows clients to resume polling later
- Critical for long-running tasks
3. **Progress Tracking**:
- Supports progress callbacks for real-time updates
- Updates at key stages (submission, polling, completion)
4. **Timeout Management**:
- 10-minute timeout prevents indefinite waiting
- Returns prediction_id for manual resume if needed
5. **Efficient Polling**:
- 0.5-second interval balances responsiveness and API load
- Fast enough for good UX, not too aggressive
### Potential Improvements (Optional)
1. **Adaptive Polling**: Could slow down polling interval after initial attempts
2. **Progress Estimation**: Could estimate progress based on elapsed time vs. typical duration
3. **Webhook Support**: Could support webhooks instead of polling (if WaveSpeed supports it)
### Conclusion
**Polling implementation is correct and robust**. It follows WaveSpeed API patterns, handles errors gracefully, and supports resume functionality. No changes needed.
## Next Model Recommendation
Based on the Lightricks family and our implementation pattern, I recommend:
### 🎯 **LTX-2 Fast** (Recommended Next)
**Why**:
1. **Same Family**: Part of Lightricks LTX-2 series (consistent API patterns)
2. **Likely Similar**: Probably similar parameters to LTX-2 Pro (easier implementation)
3. **Use Case**: Fast generation for quick iterations (complements LTX-2 Pro)
4. **Natural Progression**: Fast → Pro → Retake makes logical sense
**Expected Differences**:
- Likely faster generation (lower quality or smaller model)
- Possibly different pricing
- May have different duration options
- May have different resolution options
### Alternative: **LTX-2 Retake**
**Why**:
1. **Same Family**: Part of Lightricks LTX-2 series
2. **Unique Feature**: "Retake" suggests ability to regenerate/refine videos
3. **Production Workflow**: Complements Pro for production pipelines
**Expected Differences**:
- Likely requires input video or prediction_id
- May have different parameters for refinement
- May have different use case (refinement vs. generation)
### Recommendation
**Start with LTX-2 Fast** because:
1. ✅ Likely simpler implementation (similar to Pro)
2. ✅ Natural progression (Fast → Pro → Retake)
3. ✅ Complements existing models (fast iteration + production quality)
4. ✅ Easier to test and validate
**Then implement LTX-2 Retake** for:
1. ✅ Video refinement capabilities
2. ✅ Complete LTX-2 family coverage
3. ✅ Advanced production workflows
## Summary
**LTX-2 Pro implementation is correct** and matches official documentation
**Polling implementation is robust** with proper error handling and resume support
**Pricing updated** to $0.06/s (was placeholder $0.10/s)
**Ready for production use**
**Next Step**: Implement **LTX-2 Fast** following the same pattern.