Repository: stable-diffusion-webui
Issue: [Bug]: WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
Labels: bug-report

### Is there an existing issue for this?

- [X] I have searched the existing issues and checked the recent builds/commits

### What happened?

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.1.0+cu118)
    Python  3.10.11 (you have 3.10.12)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details

### Steps to reproduce the problem

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.1.0+cu118)
    Python  3.10.11 (you have 3.10.12)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details

### What should have happened?

Calculating sha256 for /content/temp_models/v1-5-pruned-emaonly.safetensors: 6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa
Loading weights [6ce0161689] from /content/temp_models/v1-5-pruned-emaonly.safetensors
Running on public URL: https://49217cc08b2fb8da07.gradio.live/


### Sysinfo

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.1.0+cu118)
    Python  3.10.11 (you have 3.10.12)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details
2023-10-20 21:25:37,968 - ControlNet - INFO - ControlNet v1.1.411
ControlNet preprocessor location: /content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/downloads
2023-10-20 21:25:50,427 - ControlNet - INFO - ControlNet v1.1.411
Calculating sha256 for /content/temp_models/v1-5-pruned-emaonly.safetensors: 6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa
Loading weights [6ce0161689] from /content/temp_models/v1-5-pruned-emaonly.safetensors
Running on public URL: https://49217cc08b2fb8da07.gradio.live/
✔ Connected
Creating model from config: /content/gdrive/MyDrive/sd/stable-diffusion-webui/configs/v1-inference.yaml
Startup time: 200.4s (launcher: 1.4s, import torch: 9.4s, import gradio: 1.4s, setup paths: 33.0s, import ldm: 1.1s, initialize shared: 12.6s, other imports: 59.1s, setup codeformer: 11.2s, setup gfpgan: 0.7s, list SD models: 2.8s, load scripts: 53.8s, load upscalers: 1.2s, initialize extra networks: 3.2s, create ui: 2.3s, gradio launch: 7.3s, add APIs: 0.1s).
Loading VAE weights specified in settings: /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/VAE/vae-ft-mse-840000-ema-pruned.safetensors
Applying attention optimization: xformers... done.
Model loaded in 41.9s (calculate hash: 12.4s, load weights from disk: 0.4s, create model: 4.9s, apply weights to model: 10.4s, load VAE: 7.6s, load textual inversion embeddings: 2.6s, calculate empty prompt: 3.5s).

### What browsers do you use to access the UI ?

Google Chrome

### Console logs

```Shell
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.1.0+cu118)
    Python  3.10.11 (you have 3.10.12)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details
2023-10-20 21:25:37,968 - ControlNet - INFO - ControlNet v1.1.411
ControlNet preprocessor location: /content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/downloads
2023-10-20 21:25:50,427 - ControlNet - INFO - ControlNet v1.1.411
Calculating sha256 for /content/temp_models/v1-5-pruned-emaonly.safetensors: 6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa
Loading weights [6ce0161689] from /content/temp_models/v1-5-pruned-emaonly.safetensors
Running on public URL: https://49217cc08b2fb8da07.gradio.live
✔ Connected
Creating model from config: /content/gdrive/MyDrive/sd/stable-diffusion-webui/configs/v1-inference.yaml
Startup time: 200.4s (launcher: 1.4s, import torch: 9.4s, import gradio: 1.4s, setup paths: 33.0s, import ldm: 1.1s, initialize shared: 12.6s, other imports: 59.1s, setup codeformer: 11.2s, setup gfpgan: 0.7s, list SD models: 2.8s, load scripts: 53.8s, load upscalers: 1.2s, initialize extra networks: 3.2s, create ui: 2.3s, gradio launch: 7.3s, add APIs: 0.1s).
Loading VAE weights specified in settings: /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/VAE/vae-ft-mse-840000-ema-pruned.safetensors
Applying attention optimization: xformers... done.
Model loaded in 41.9s (calculate hash: 12.4s, load weights from disk: 0.4s, create model: 4.9s, apply weights to model: 10.4s, load VAE: 7.6s, load textual inversion embeddings: 2.6s, calculate empty prompt: 3.5s).
```


### Additional information

_No response_