k-diffusion
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crowsonkb
Karras et al. (2022) diffusion models for PyTorch
Improves support for diffusion models with discrete time-steps (such as Stable Diffusion's DDIM). I have some questions though, so this may need some iterating. The user would invoke like so:...
[2022-08-23 02:19:51] scripts/kdiffy.py - - - - - - - - - - - - - - - - - - - - - eprint(line:60) :: Error when calling Cognitive...
Thank you for the nice code. I wonder if you could explain how the CLIP-guided sampling works. Thank you!
I would be marvelous if you could add a small example at some point that shows how to use these wrappers. My guess is that I first have to initialize...
Computing Inception takes up to half a minute at the start of the program as of now, so caching it seems obvious. The only thing I'm not sure about is...
Hi, how useful would a script for inpainting and image modification with a pre-trained model be at this stage? Do K-models need some modification to use the basic DDIM inpainting...
Is there currently a way to fine-tune an existing model with k-diffusion? And/or are there any existing large pre-trained models that would be compatible with the patch feature?
I am trying to use the progressive growth option but I am getting an error when trying to use it as I think it is supposed to be used: I...
I'm getting an error from the text transformer component when trying to run the CLIP guided generation. Any ideas as to how I might approach debugging here? ``` CUDA_LAUNCH_BLOCKING=1 python...