NotImplementedError: No operator found for memory_efficient_attention_forward with inputs:

[nsionneau]

I launched my first generation on stable diffusion. The prompt was: a cat with a hat, masterpiece".

But, as the generation is almost ended, I have this error :

NotImplementedError: No operator found for memory_efficient_attention_forward with inputs:
query : shape=(1, 324, 1, 512) (torch.float32)
key : shape=(1, 324, 1, 512) (torch.float32)
value : shape=(1, 324, 1, 512) (torch.float32)
attn_bias : <class 'NoneType'>
p : 0.0
cutlassF is not supported because:
device=cpu (supported: {'cuda'})
flshattF is not supported because:
device=cpu (supported: {'cuda'})
dtype=torch.float32 (supported: {torch.bfloat16, torch.float16})
max(query.shape[-1] != value.shape[-1]) > 128
tritonflashattF is not supported because:
device=cpu (supported: {'cuda'})
dtype=torch.float32 (supported: {torch.bfloat16, torch.float16})
max(query.shape[-1] != value.shape[-1]) > 128
Operator wasn't built - see python -m xformers.info for more info
triton is not available
smallkF is not supported because:
max(query.shape[-1] != value.shape[-1]) > 32
unsupported embed per head: 512

Does someone have an idea how can I fix this error ?

PS: I've got the latest version of stable diffusion, on windows 10.

[geirdev]

same situation. help!

[Alestrix]

Same issue on Linux