aigc-apps / aigc-apps/VideoX-Fun

CogVideoX-Fun的inpaint或者control版本训练问题

Open
#377 5 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
2.3k
Forks
188
Avg merge
2d 22h
Merged PRs (30d)
3

Description

CogVideoX-Fun的inpaint或者control版本训练的时候,是基于CogVideoX预训练模型微调的吗,还是说从头开始训练的,如果是基于CogVideoX预训练模型微调的话,是基于T2V还是I2V微调的呢?

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

No files, tests, or training entry points are named in the issue. Start by locating the CogVideoX-Fun training documentation and relevant training entry points, then document whether inpaint and control training starts from a CogVideoX checkpoint and whether the base is T2V or I2V.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
1/5
Estimated time
Under an hour
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.