[Error]Fail to run

[Micraow]

[Error]Fail to run

[Micraow]

Well, work now!Thank you!
By the way, I find the SDXL Trubo on my computer is much slower than yours. My computer has an 10th Gen Intel i3 and 8GB RAM and 25GB swap on SSD, and it took 1782s to generate a robot of 512*512. (without TAESD)

[rupeshs]

@Micraow Thank you for using Fast SD CPU, can you try a fresh install?

[Micraow]

OK, tried again. This time I picked the given model in the menu.It tried to download, but failed. (You know, in China, we have the GFW, which prohibits us from accessing github and huggingface.That's why I have to use offline). I put the previous downloaded model into huggingface cache directory. It worked.

Then I tried to use offline model as the Readme says, but it still failed, and the program handle the SDXL model as SD model

[rupeshs]

OK, I hope you are using the latest release https://github.com/rupeshs/fastsdcpu/releases/tag/v1.0.0-beta.23.
Please try this, delete the config/settings.yaml file start the webui, and ensure that the following settings are ok.

[rupeshs]

@Micrasow First time it will take more time because of model loading and compiling after that you will get good speed.

[Micraow]

Oops, I find openvino still compile the unet and encoders again,even though I have set cache dir... 在 2023-12-24 22:07:58，"Rupesh Sreeraman" ***@***.***> 写道： @Micrasow First time it will take more time because of model loading and compiling after that you will get good speed. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you modified the open/close state.Message ID: ***@***.***>

[rupeshs]

It will compile at startup and when there is size change or model change etc