Deforum_Stable_Diffusion stopped working for me today

i have no clue how this all works.
i had Deforum_Stable_Diffusion working just fine for 2 months now, but when i tried to run it today, i got this

NotImplementedError Traceback (most recent call last)
[](https://localhost:8080/#) in ()
160 render_interpolation(root, anim_args, args, cond, uncond)
161 else:
--> 162 render_image_batch(root, args, cond, uncond)

15 frames
[/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/dispatch.py](https://localhost:8080/#) in _run_priority_list(name, priority_list, inp)
61 for op, not_supported in zip(priority_list, not_supported_reasons):
62 msg += "\n" + _format_not_supported_reasons(op, not_supported)
---> 63 raise NotImplementedError(msg)
64
65

NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs:
query : shape=(1, 256, 1, 512) (torch.float16)
key : shape=(1, 256, 1, 512) (torch.float16)
value : shape=(1, 256, 1, 512) (torch.float16)
attn_bias :
p : 0.0
`decoderF` is not supported because:
max(query.shape[-1] != value.shape[-1]) > 128
xFormers wasn't build with CUDA support
attn_bias type is
operator wasn't built - see `python -m xformers.info` for more info
`flshattF@0.0.0` is not supported because:
max(query.shape[-1] != value.shape[-1]) > 256
xFormers wasn't build with CUDA support
requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old)
operator wasn't built - see `python -m xformers.info` for more info
`tritonflashattF` is not supported because:
max(query.shape[-1] != value.shape[-1]) > 128
xFormers wasn't build with CUDA support
requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old)
operator wasn't built - see `python -m xformers.info` for more info
triton is not available
requires GPU with sm80 minimum compute capacity, e.g., A100/H100/L4
Only work on pre-MLIR triton for now
`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
dtype=torch.float16 (supported: {torch.float32})
operator wasn't built - see `python -m xformers.info` for more info
unsupported embed per head: 512