stablediffusion-interpolation-tools VS stable-diffusion

(Added Aug. 31, 2022) Colab notebook SD_interpolation by schmidtdominik. GitHub repo. Reference.

One of the first things that came out when the model was released.

https://github.com/schmidtdominik/stablediffusion-interpolat...

You can find the code here: https://github.com/schmidtdominik/stablediffusion-interpolation-tools

use or update this one : https://github.com/hlky/stable-diffusion it has all the samplers, and if you want perfect faces, try k_euler_a

try this one https://github.com/hlky/stable-diffusion you need at least a 1050 to run it tho

https://github.com/hlky/stable-diffusion/issues/153 With 36 comments and tons of before and after comparisons, which are now deleted

I wanted to try hlky version (https://github.com/hlky/stable-diffusion) , due to the WebUI and integration with upscaling models. It should also have the option to be optimized for low VRAM. To avoid getting a green square I have to add the parameters "--precision full --no-half". When I run a prompt, even with the smallest image size, I immediately get a CUDA memory error. Interestingly, without these parameters there isn't any memory error (but, of course, the result is a green square)

Made using https://github.com/hlky/stable-diffusion

Any chance to get this integrated into something like hlky's web ui?

Linux Guide her. Jeg har også Linux, men jeg valgte å sette det opp på Windows boksen min fordi driverne til Nvidia kortet på Linux ikke er helt sammarbeidsvillig når det kommer til å justere viftene etter sensorene i kortet (så jeg må sette det manuelt).

I'm seeing GFPGAN essentially remove all texture from faces, and I only want to use it on the eyes. Any thoughts on how to do this? I am using hlky/stable-diffusion now but I have no issues running a different repo/fork if needed and using command line.