thu-ml / thu-ml/TurboDiffusion
有多GPU推理脚本吗？
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- Dominant language
- Python
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- Merged PRs (30d)
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Description
我看给的例子wan2.2-i2v-720p能在单卡5090上35秒跑完，8卡5090是不是能6秒左右跑完一个720p视频？希望能给个推理脚本。
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start from the repository's existing wan2.2-i2v-720p inference example and inspect how it handles device selection and video generation. Define the expected multi-GPU execution model and benchmark target before implementing; done means a documented inference script can run the 720p example across eight GPUs with measured results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100