We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi, I am reading your excellent work and have a question. Is the unet you use a classical T2I unet or an inpainting unet?
The text was updated successfully, but these errors were encountered:
It seems to load the sd-base weights
Sorry, something went wrong.
@RunpuWei Thanks a lot but actually I mean whether the unet branch has inpainting ability before being equipped with Brushnet branch.
I believe the sd-base model has the capability for inpainting (e.g., Repaint: https://github.com/huggingface/diffusers/blob/bbd2f9d4e9ae70b04fedf65903fd1fb035437db4/examples/community/stable_diffusion_repaint.py), although the results were relatively poor. Additionally, you can enhance it through any fine-tuning method, such as ControlNet, BrushNet, or adding 5 additional input channels (sd-inpaint model) like runwayml.
No branches or pull requests
Hi, I am reading your excellent work and have a question. Is the unet you use a classical T2I unet or an inpainting unet?
The text was updated successfully, but these errors were encountered: