modelscope / modelscope/DiffSynth-Studio

Probs about VACE full training setting of Num_frames

Open
#1,003 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
13.1k
Forks
1.3k
Avg merge
13h 12m
Merged PRs (30d)
45

Description

Hi~ 非常棒的Codebase!

想请问一下在训练Wan2.1-VACE的full版本过程中,为什么当设置num_frames 大于 49的时候,生成的结果会是错误的?看VACE的官方版本是支持frames=81的.

当前模型是否是由于VACE的基模导致只能训练小于81的帧数视频呢,有其他基础模型可以生成长视频的吗?

Thanks!

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing Wan2.1-VACE full training with num_frames above 49 and compare the result with the official VACE 81-frame behavior. Review the training configuration and model limitations to determine whether the cutoff comes from this codebase or the base model; document the supported frame range and any confirmed workaround.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.