aigc-apps / aigc-apps/VideoX-Fun
Z_Image Fun ControlNet V2 Inpaint Mode: need examples please
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- Python
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Description
Hi
I have implemented Z_Image Fun ControlNet V2 in WanGP and optimized to use much less VRAM. Control Net seems to work properly as I can transfer a pose for instance. However I have some weird results with the Inpaint mode.
It is the Inpaint mode full working ? I would be grateful if you could give the semantics of the 33 latent input channels when using inpainting. For instance what should contain the masked aread (white, black, original image?) in the Inpainted Image It would be great to have examples.
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Research direction
The issue concerns Z_Image Fun ControlNet V2, WanGP, and the inpaint mode, but it names no files, tests, or entry points. Start by reproducing the reported inpaint behavior and tracing the 33 latent input channels. Done means documenting whether inpaint mode works, the masked-area semantics, and working examples.
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Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100