-
Notifications
You must be signed in to change notification settings - Fork 95
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Can it run SDXL? #41
Comments
Thanks for your interest in my work. I have no plans to update this project. At first I just did it to show the possibility of running SD on mobile. For SDXL you can try to convert it yourself. You can refer to this repo: diffusers-ncnn |
Thanks, I`ll try to do it. |
How would you conceptionally do it? Just convert the sdxl or dreamshaper model to ncnn and integrate it in your code? Appreciate your reply! |
I want to run SDXL model on my PC. I don`t have a GPU, but I have a powerful CPU and a lot of RAM. |
Replacing SDXL is tedious because it is a completely different model. You need to change “text encoder”, “unet”, “vae”. |
What makes it so much different? Would you only change the diffuser? Is SD 1.0/1.5 so much different from SDXL? |
Is it so difficult to convert three models to NCNN? |
Привет, Совёнок. Пожалуйста, конвертируй в NCNN стандартные модели SD 1.4, SD 1.5 и SD 2.1. |
Извини, сам ещё не разобрался. |
you might want to try this: https://github.com/autocyz/pytorch2ncnn. cuz theoretically, you should be able to autoconvert. pytorch models are just code, and so is c++/ncnn. so a codegen pipe should work |
No description provided.
The text was updated successfully, but these errors were encountered: