Fooocus inpainting on Mac M series inconsistently produces a bug in sizing/reshaping, this fix was found in ComfyUI repo comments but contains the same core to fix.
Here's the error
```
Upscaling image with shape (712, 781, 3) ...
Traceback (most recent call last):
File "/Users/danielblack/Code/Fooocus/modules/async_worker.py", line 1471, in worker
handler(task)
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/modules/async_worker.py", line 1193, in handler
denoising_strength, initial_latent, width, height, current_progress = apply_inpaint(async_task,
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/modules/async_worker.py", line 486, in apply_inpaint
inpaint_worker.current_task = inpaint_worker.InpaintWorker(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/modules/inpaint_worker.py", line 162, in __init__
self.interested_image = perform_upscale(self.interested_image)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/modules/upscaler.py", line 30, in perform_upscale
img = opImageUpscaleWithModel.upscale(model, img)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/ldm_patched/contrib/external_upscale_model.py", line 54, in upscale
s = ldm_patched.modules.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/ldm_patched/modules/utils.py", line 418, in tiled_scale
ps = function(s_in).to(output_device)
^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/ldm_patched/contrib/external_upscale_model.py", line 54, in <lambda>
s = ldm_patched.modules.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar)
^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1740, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/Code/Fooocus/ldm_patched/pfn/architecture/RRDB.py", line 296, in forward
return x[:, :, : h * self.scale, : w * self.scale]
^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1740, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/container.py", line 250, in forward
input = module(input)
^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1740, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/conv.py", line 554, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/danielblack/miniconda3/lib/python3.12/site-packages/torch/nn/modules/conv.py", line 549, in _conv_forward
return F.conv2d(
^^^^^^^^^
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
```
Explanation here
https://github.com/comfyanonymous/ComfyUI/issues/5075#issuecomment-2451867268
* Revert "fix: use LF as line breaks for Docker entrypoint.sh (#2843)" (#2865)
False alarm, worked as intended before. Sorry for the fuzz.
This reverts commit d16a54edd6.
* feat: add VAE select
* feat: use different default label, add translation
* fix: do not reload model when VAE stays the same
* refactor: code cleanup
* feat: add metadata handling
* fix: load image number from preset (#2611)
* fix: add default_image_number to preset handling
* fix: use minimum image number of preset and config to prevent UI overflow
* fix: use correct base dimensions for outpaint mask padding (#2612)
* fix: add Civitai compatibility for LoRAs in a1111 metadata scheme by switching schema (#2615)
* feat: update sha256 generation functions
29be1da7cf/modules/hashes.py
* feat: add compatibility for LoRAs in a1111 metadata scheme
* feat: add backwards compatibility
* refactor: extract remove_special_loras
* fix: correctly apply LoRA weight for legacy schema
* docs: bump version number to 2.3.1, add changelog (#2616)
* feat:support download huggingface files from a mirror site
---------
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
* feat: use consistent file name in gradio
returns and uses filepaths instead of numpy image by saving to temp dir
uses double the temp dir file storage on disk as it saves to temp dir and gradio temp dir when displaying the image, but reuses logged output image
* feat: delete temp images after yielding to gradio
* feat: use args temp path if given
* chore: code cleanup, remove redundant if statement
Dan Black
Sergii Dymchenko
licyk
Manuel Schmid
delta_lt_0
Maxim Saplin
Manuel Schmid
Praveen Kumar Sridhar
Justin Dhillon
lllyasviel