Comments (2)
Yeah, I'd say that's the main difference. Diffusion models have more "natural" artifacts in the high end in my opinion, since they tend to match the general noise profile pretty well
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Most likely its just the arch of GAN v diffusion.
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Related Issues (11)
- Paper? HOT 1
- name 'args' is not defined HOT 2
- VRAM requirements? HOT 3
- Training from scratch HOT 2
- Please help with (probably) a simple error HOT 2
- Where to find the model for the finetune notebook and can we use other models from huggingface spaces? HOT 5
- Error: Tensor type unknown to einops HOT 1
- Does it work? HOT 3
- Epoch Demo Quality versus Normal Inference HOT 2
- Error when trying to run "Imports and definitions"
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