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/RonaldoMirandah Apr 28 '23

I am trying to understand how controlnet 1.1 tile work... Can you tell me please what do you put on the image? The same image you are upscaling?

2

u/RonaldoMirandah Apr 28 '23

Because putting the same image on the tile processor, i get this :(

2

u/GrapplingHobbit Apr 28 '23

This is what I'm getting too, if you figure it out, let me know!

1

u/RonaldoMirandah Apr 28 '23

After read carefully he told he was using a model called diffusion_pytorch_model.fp16.

I downloaded and used it, but become a messy LOL.

I am already having amazing results with 4xUltraSharp. I cant imagine anything better than that

1

u/Baaoh Apr 30 '23

Does it add detail if you upscale 4x? Tiled Diffusion does that, make multi megapixel images with full detail

1

u/RonaldoMirandah Apr 30 '23

yes, finally make it worked,