modelscope / modelscope/DiffSynth-Studio
num_inference_steps of Wan2.1
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Description
Hi.
For the Wan2.1 model, num_inference_steps is set to 1000 during training and 50 during inference. How are these two values (1000 and 50) determined? Is it possible to use other values? For example, if I want to speed up inference, can I reduce num_inference_steps during both training and inference? If so, how should I determine the appropriate values to use for training and inference?
Thanks!
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Research direction
No file, test, or entry point is named. Start by locating the Wan2.1 training and inference configuration, then trace how num_inference_steps is consumed in each path. Done means documenting how 1000 and 50 are chosen, whether other values are supported, and how changing them affects training and inference speed or quality.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100