moreminimore-marketing/docs/LTX2_PRO_IMPLEMENTATION_REVIEW.md

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:

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.