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High failure rate in T2AV generation

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#38 1 comment 1 reaction 0 assignees View on GitHub

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
45/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
python

Research direction

Start in pipeline_mova.py, focusing on the prepare_latents stage where the pure white PIL.Image is loaded, encoded, and concatenated for standard T2V generation. Reproduce the MOVA T2V/T2AV flow and compare successful videos with the corrupted solid-color outputs. Done means the generation process no longer produces the reported latent-collapse failures at the stated rate.

Written by the indexing model from the issue text.

Description

Describe
When using the MOVA pipeline for pure T2V/T2AV generation, I am experiencing a highly unstable generation process. Approximately 40% of the generated videos result in corrupted, solid-color outputs (the entire video is just a flat color with no coherent structures or details).

Image ![Image](https://github.com/user-attachments/assets/7461b429-a023-47cb-9b39-52f7db79d3d8)

Following the standard T2V approach for MOVA, I am passing a pure white PIL.Image as the image condition to the pipeline. I strongly suspect the issue lies in how the pipeline_mova.py loads, encodes, or concatenates this pure white frame in the prepare_latents stage, leading to a latent collapse during the diffusion process.

Dominant language
Python
Stars
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Forks
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PR merge metrics
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