CFGpp-diffusion

Results 4 comments of CFGpp-diffusion

@andreaferretti Thank you for your valuable comment, and apologies for the delayed response. Firstly, in our paper, we utilized NFE=10 for both the inversion and editing tasks. We also observed...

@Emasoft We kindly ask if you have made any changes to our public code or set the correct Diffusers version as specified in the environment.yaml file. When we clone our...

We will add a colab demo. Before that, you may use script in 'examples' as a reference.

If you would like to use latent_diffusion.py with noise to image generation, you may change the size of initial noise. https://github.com/CFGpp-diffusion/CFGpp/blob/ee909b5b41662c41d6fb585797a0710baf24d3f0/latent_diffusion.py#L170