bin C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\bitsandbytes\libbitsandbytes_cuda118.dll
Traceback (most recent call last):
  File "H:\sliders\trainscripts\imagesliders\train_lora-scale-xl.py", line 548, in <module>
    main(args)
  File "H:\sliders\trainscripts\imagesliders\train_lora-scale-xl.py", line 466, in main
    train(config=config, prompts=prompts, device=device, folder_main = args.folder_main, folders = folders, scales = scales)
  File "H:\sliders\trainscripts\imagesliders\train_lora-scale-xl.py", line 92, in train
    unet.enable_xformers_memory_efficient_attention()
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 298, in enable_xformers_memory_efficient_attention
    self.set_use_memory_efficient_attention_xformers(True, attention_op)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 262, in set_use_memory_efficient_attention_xformers
    fn_recursive_set_mem_eff(module)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 258, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 258, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 258, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 255, in fn_recursive_set_mem_eff
    module.set_use_memory_efficient_attention_xformers(valid, attention_op)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 262, in set_use_memory_efficient_attention_xformers
    fn_recursive_set_mem_eff(module)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 258, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 258, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 255, in fn_recursive_set_mem_eff
    module.set_use_memory_efficient_attention_xformers(valid, attention_op)
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\attention_processor.py", line 273, in set_use_memory_efficient_attention_xformers
    raise e
  File "C:\Users\slons\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\attention_processor.py", line 267, in set_use_memory_efficient_attention_xformers
    _ = xformers.ops.memory_efficient_attention(
  File "C:\Users\slons\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 192, in memory_efficient_attention
    return _memory_efficient_attention(
  File "C:\Users\slons\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 290, in _memory_efficient_attention
    return _memory_efficient_attention_forward(
  File "C:\Users\slons\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\__init__.py", line 306, in _memory_efficient_attention_forward
    op = _dispatch_fw(inp)
  File "C:\Users\slons\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\dispatch.py", line 94, in _dispatch_fw
    return _run_priority_list(
  File "C:\Users\slons\AppData\Roaming\Python\Python310\site-packages\xformers\ops\fmha\dispatch.py", line 69, in _run_priority_list
    raise NotImplementedError(msg)
NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs:
     query       : shape=(1, 2, 1, 40) (torch.float32)
     key         : shape=(1, 2, 1, 40) (torch.float32)
     value       : shape=(1, 2, 1, 40) (torch.float32)
     attn_bias   : <class 'NoneType'>
     p           : 0.0
`flshattF` 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
    requires A100 GPU
`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:
    xFormers wasn't build with CUDA support
    max(query.shape[-1] != value.shape[-1]) > 32
    Operator wasn't built - see `python -m xformers.info` for more info
    unsupported embed per head: 40