thu-ml / thu-ml/TurboDiffusion

5090推理OOM

Open
#42 13 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
3.7k
Forks
277
Avg merge
2h 57m
Merged PRs (30d)
2

Description

Image Image 我们在使用readme中的推理示例在5090上进行推理的时候遇到了OOM的问题,请问是需要额外的操作来offload一些用过的模型吗

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 with the README inference example and the attached screenshots, then review the issue's comment thread for the 5090 setup and failure details. Reproduce the out-of-memory failure and confirm the required offloading or configuration steps. Done means the example can run on the reported hardware, with the necessary procedure documented.

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
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.