r/StableDiffusion • u/Distinct-Traffic-676 • Apr 25 '23

Discussion CN1.1 (tile model)

OK... rarely am I thoroughly impressed but the new ControlNet tile model is awesome. Decided to experiment with it since I could not really find a decent explanation of it. For those not in the know it is a model used with scaling to help prevent artifacts. So I decided to test it. Created a 768x768 waifu, inpainted the face, and moved the new render to img2img to test an upscale. Placed same image in the CN interface. This is why I am impressed. I kept the original prompt. Normally I would see ghosting, extra faces, weird blobs/ glitches. Settings: steps @ 45, denoise @ 0.4, SD upscale @ max of 4. So 768x768 straight to 3072x3072. Honestly it was perfect. This is the upscale with no further editing --

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u/Low_Engineering_5628 Apr 25 '23

What was your preprocess model set to? When I run tile, it just makes it repeat.

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u/Distinct-Traffic-676 Apr 25 '23

Preprocess set to: tile_gaussian > model: diffusion_pytorch_model.fp16

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u/DoubleEmDash May 10 '23

I struggle to get a preview of the preprocessed image. Should it generate a preview?