ControlNet-v1-1-nightly
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Error with ZoeDepth preprocessor
Hi! I have an error with ZoeDepth preprocessor, sadly there is not error shown in the webui terminal only the HTML Error splatch on preview image :/ All other depth preprocessors are working well...
How can I find more usefull error logs? Or anything that can help?
Thx for your work btw ! :)
Ha! I have an error in terminal finally :)
Traceback (most recent call last):
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/gradio/routes.py", line 422, in run_predict
output = await app.get_blocks().process_api(
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/gradio/blocks.py", line 1323, in process_api
result = await self.call_function(
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/gradio/blocks.py", line 1051, in call_function
prediction = await anyio.to_thread.run_sync(
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/controlnet_ui/controlnet_ui_group.py", line 636, in run_annotator
result, is_image = preprocessor(
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/utils.py", line 79, in decorated_func
return cached_func(*args, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/utils.py", line 67, in cached_func
return func(*args, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/global_state.py", line 35, in unified_preprocessor
return preprocessor_modules[preprocessor_name](*args, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/processor.py", line 517, in zoe_depth
result = model_zoe_depth(img)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/__init__.py", line 47, in __call__
depth = self.model.infer(image_depth)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/depth_model.py", line 126, in infer
return self.infer_with_flip_aug(x, pad_input=pad_input, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/depth_model.py", line 110, in infer_with_flip_aug
out = self._infer_with_pad_aug(x, pad_input=pad_input, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/depth_model.py", line 88, in _infer_with_pad_aug
out = self._infer(x)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/depth_model.py", line 55, in _infer
return self(x)['metric_depth']
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1502, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1511, in _call_impl
return forward_call(*args, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/zoedepth/zoedepth_v1.py", line 144, in forward
rel_depth, out = self.core(x, denorm=denorm, return_rel_depth=True)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1502, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1511, in _call_impl
return forward_call(*args, **kwargs)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/base_models/midas.py", line 263, in forward
x = self.prep(x)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/base_models/midas.py", line 187, in __call__
return self.normalization(self.resizer(x))
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/zoe/zoedepth/models/base_models/midas.py", line 174, in __call__
return nn.functional.interpolate(x, (height, width), mode='bilinear', align_corners=True)
File "/home/dig/dev/AI/A1111/stable-diffusion-webui/venv/lib/python3.8/site-packages/torch/nn/functional.py", line 3928, in interpolate
raise TypeError(
TypeError: expected size to be one of int or Tuple[int] or Tuple[int, int] or Tuple[int, int, int], but got size with types [<class 'numpy.int64'>, <class 'numpy.int64'>]
FYI my install is full CPU ...
same error
see here https://github.com/Fannovel16/comfyui_controlnet_aux/issues/2 and fix in https://github.com/Fannovel16/comfyui_controlnet_aux/pull/71/commits/7755961321784ed9d704e894abb6830afab128f5