inference speed question
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 20/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning, performance
Research direction
The issue reports MOVA-360p inference on a single A100 with CPU offload, at 31.38 seconds per diffusion step. No source file, test, or entry point is named; begin by locating the inference path and reproducing the reported configuration. Done would require establishing whether this speed is expected or identifying a confirmed performance problem.
Written by the indexing model from the issue text.
Description
你好,
很棒的工作!
想请问这个是正常的生成速度吗?模型是 MOVA-360p,单卡A100。width=352, height=640, offload=cpu
Diffusion: 12%|██████▍ | 6/50 [03:31<23:00, 31.38s/it]
谢谢!
- Dominant language
- Python
- Stars
- 1.1k
- Forks
- 95
- PR merge metrics
- No merged PRs in 30d
Getting set up
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First steps
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