LTX-2 Video Generator Troubleshooting | Fix Failed Jobs, Queue Issues and Quality

Fix common LTX-2 video generator problems: jobs stuck in queue, failed runs, slow generation, billing questions, and quality issues like drift or warping.

This guide covers the most common LTX-2 video issues and how to fix them fast.

Use this LTX-2 video generator troubleshooting checklist before opening a support ticket.

1) Job stuck in "Queued"

Likely cause: high demand or plan concurrency limits.

What to do:

Wait a moment and refresh job status
Try a shorter duration or lower quality preset
If your plan supports one concurrent job, avoid launching multiple runs at once

Product tip: show an estimated queue time and position to reduce support tickets.

2) Job failed

Common reasons:

Unsupported input image (I2V)
Too long a duration for the selected preset
Temporary GPU or server issue

Fix checklist:

Retry once (transient errors happen)
Reduce duration and resolution
Remove extreme camera motion from the prompt
Replace the reference image with a clearer one

3) Output quality problems

Identity drift (face or product changes)
Fix: use I2V with a strong reference image, lower motion strength, add constraints like "keep identity consistent."

Warping or melting edges
Fix: avoid fast camera motion, use shorter duration, increase quality after the prompt is stable.

Flicker or unstable frames
Fix: simplify lighting instructions, reduce extreme effects, try Balanced then High quality.

4) Audio problems

Audio too loud or too quiet
Fix: choose a different mix preset, reduce intensity language (for example, "soft" or "minimal").

Audio does not match the action
Fix: add one or two explicit sound events like "clink" or "footsteps."

5) Billing and credits

Cost usually increases with:

Longer duration
Higher resolution
Higher quality mode
Audio enabled
Higher concurrency (plan feature)

Best practice: show an estimated cost before generating.

FAQ

Q: Can I reuse a good result's settings?
A: Yes. Use "Duplicate run" to keep parameters consistent and only change the prompt.

Q: Why do two runs with similar prompts look different?
A: Generative models can vary. Use a reference image and tighter prompts for consistency.