modelscope / modelscope/DiffSynth-Studio
About Wan2.2 Vace
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Description
In the examples/wanvideo/model_inference/Wan2.2-VACE-Fun-A14B.py file, the VAE used is the Wan2.1 VAE instead of the Wan2.2 VAE. Is this normal? Why doesn't it use the Wan2.2 VAE like in examples/wanvideo/model_inference/Wan2.2-TI2V-5B.py?
Perhaps the VAE performance of Wan2.2 and 2.1 is similar, and the improvements mainly come from the DiT ?
Thank you!
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Research direction
Compare the VAE references in examples/wanvideo/model_inference/Wan2.2-VACE-Fun-A14B.py and examples/wanvideo/model_inference/Wan2.2-TI2V-5B.py, then trace the model-loading entry points used by each example. Confirm whether the Wan2.1 VAE choice is intentional; done means the rationale is documented or the example is aligned with the intended VAE.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100