Repository: stable-diffusion-webui
Issue: [Bug]: I can't install xFormers
Labels: bug-report

### Checklist

- [ ] The issue exists after disabling all extensions
- [x] The issue exists on a clean installation of webui
- [ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [ ] The issue exists in the current version of the webui
- [ ] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet

### What happened?

i just want to install xformers for make faster images on StableDiffusion but i cant, no matter what i do i cant generate anything

### Steps to reproduce the problem

1. --xformers in webui-user.sh
2. generate a image

### What should have happened?

Xformers should be build for Cuda support

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

Other

### Sysinfo

RTX 3060TI
64gb ram

### Console logs

```Shell
raise NotImplementedError(msg)
    NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs:
         query       : shape=(2, 1024, 10, 64) (torch.float32)
         key         : shape=(2, 1024, 10, 64) (torch.float32)
         value       : shape=(2, 1024, 10, 64) (torch.float32)
         attn_bias   : <class 'NoneType'>
         p           : 0.0
    `decoderF` is not supported because:
        xFormers wasn't build with CUDA support
        attn_bias type is <class 'NoneType'>
        operator wasn't built - see `python -m xformers.info` for more info
    `flshattF@0.0.0` is not supported because:
        xFormers wasn't build with CUDA support
        dtype=torch.float32 (supported: {torch.float16, torch.bfloat16})
        operator wasn't built - see `python -m xformers.info` for more info
    `tritonflashattF` is not supported because:
        xFormers wasn't build with CUDA support
        dtype=torch.float32 (supported: {torch.float16, torch.bfloat16})
        operator wasn't built - see `python -m xformers.info` for more info
        triton is not available
    `cutlassF` is not supported because:
        xFormers wasn't build with CUDA support
        operator wasn't built - see `python -m xformers.info` for more info
    `smallkF` is not supported because:
        max(query.shape[-1] != value.shape[-1]) > 32
        xFormers wasn't build with CUDA support
        operator wasn't built - see `python -m xformers.info` for more info
        unsupported embed per head: 64
```

### Additional information

NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs: query : shape=(2, 1024, 10, 64) (torch.float32) key : shape=(2, 1024, 10, 64) (torch.float32) value : shape=(2, 1024, 10, 64) (torch.float32) attn_bias : <class 'NoneType'> p : 0.0 `decoderF` is not supported because: xFormers wasn't build with CUDA support attn_bias type is <class 'NoneType'> operator wasn't built - see `python -m xformers.info` for more info `flshattF@0.0.0` is not supported because: xFormers wasn't build with CUDA support dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) operator wasn't built - see `python -m xformers.info` for more info `tritonflashattF` is not supported because: xFormers wasn't build with CUDA support dtype=torch.float32 (supported: {torch.bfloat16, torch.float16}) operator wasn't built - see `python -m xformers.info` for more info triton is not available `cutlassF` is not supported because: xFormers wasn't build with CUDA support operator wasn't built - see `python -m xformers.info` for more info `smallkF` is not supported because: max(query.shape[-1] != value.shape[-1]) > 32 xFormers wasn't build with CUDA support operator wasn't built - see `python -m xformers.info` for more info unsupported embed per head: 64

(Stable Diffusion)