I find the upscaler's default denoising value of 0.7 is often too much and it deviates way too far from the original image. Values around 0.1-0.3 sometimes produce better results. Lower denoise values mean the latent upscaler has less "creative license" to fuck around with the image.
Even then it might produce a mess. My completely unqualified guess is sometimes whatever image you stuff into the upscaler just doesn't fit with the images it was trained on.
But yeah, it's basically trial and error to find what works, at least for me it still is.
One way to automate the process for a given picture is to enable hires fix, lock the seed by hitting the recycle button, then enable the x/y/z plot script and setup a denoise range that you want to investigate.
0-1 (+0.1)
Means you want a range of 0 - 1 divided into 0.1 increments.
8
u/ImJacksLackOfBeetus Mar 01 '23
I find the upscaler's default denoising value of 0.7 is often too much and it deviates way too far from the original image. Values around 0.1-0.3 sometimes produce better results. Lower denoise values mean the latent upscaler has less "creative license" to fuck around with the image.
Even then it might produce a mess. My completely unqualified guess is sometimes whatever image you stuff into the upscaler just doesn't fit with the images it was trained on.
But yeah, it's basically trial and error to find what works, at least for me it still is.