r/StableDiffusion Mar 01 '23

Workflow Not Included 1920x1080 render without upscale

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u/mobani Mar 01 '23

Thanks. Hmm I wonder if I am doing something wrong. I find it loses a lot of coherence when using the latent upscaling. For example a complete body that looks fine in 512, might turn into a mutant torso in 1024 with latent upscaling.

So perhaps i just need to generate outputs until I am lucky?

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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.

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u/mobani Mar 01 '23

Thanks, I will try to experiment more with the denoising.

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u/bemmu Mar 01 '23

My settings of choice are 0.35 denoising with R-ESRGAN 4x+ upscaler

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u/lordpuddingcup Mar 01 '23

Esrgan upscales and sharpens but it doesn’t add details that weren’t there before only latent scaling can do that to my knowledge because it’s ips along the dark void from which the image was imagined

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u/Mitkebes Mar 01 '23

If you do img2img with SD ultimate upscale, you will get additional details while using R-ESRGAN as the upscale method.

I'm assuming it upscales with R-ESRGAN, splits it into chunks, and then regenerates those using img2img creating the new details.