fresh install errors out on mac (m1)

[byjlw]

Get this error during generation.

Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/gradio/queueing.py", line 625, in process_events
response = await route_utils.call_process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/gradio/route_utils.py", line 322, in call_process_api
output = await app.get_blocks().process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/gradio/blocks.py", line 2047, in process_api
result = await self.call_function(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/gradio/blocks.py", line 1594, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 2505, in run_sync_in_worker_thread
return await future
^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 1005, in run
result = context.run(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/gradio/utils.py", line 869, in wrapper
response = f(*args, **kwargs)
^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/gradio_app/app.py", line 91, in generate
decoder_output = generate_decoder(
^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/gradio_app/app.py", line 47, in generate_decoder
decoder_output = decoder(
^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/diffusers/pipelines/stable_cascade/pipeline_stable_cascade.py", line 412, in call
predicted_latents = self.decoder(
^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/diffusers/models/unets/unet_stable_cascade.py", line 603, in forward
level_outputs = self._down_encode(x, timestep_ratio_embed, clip)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/diffusers/models/unets/unet_stable_cascade.py", line 495, in _down_encode
x = block(x, clip)
^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/byjlw/Documents/source/StableCascade/.venv/lib/python3.11/site-packages/diffusers/models/unets/unet_stable_cascade.py", line 108, in forward
kv = torch.cat([norm_x.view(batch_size, channel, -1).transpose(1, 2), kv], dim=1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 2 but got size 1 for tensor number 1 in the list.