Closed brycedrennan closed 8 months ago
result = torch.clamp(result, -3.9, 5)
seemed to reduce the issue to negligible.
I tried the two different autoencoders from stability with both float16 and float32 but the spots remained.
Yeah I know. That's the reason I reworked things a lot. Unfortunately I have a feeling that the first earlier versions which were more prone to give this kind of issue were those bringing the most benefits to upscaling. I'm closing the issue.
Hey this is a great idea. I'm trying to integrate it into imaginairy
I'm getting these spots in the sd15 images when I use the perlin noise. Is this something you've encountered?
I wonder if I need to use a different VAE
If I change the clamp from
result = torch.clamp(result, -5, 5)
toresult = torch.clamp(result, -4, 4)
it significantly reduces the spots but I'm not sure what other negative consequences there might be.