Replies: 4 comments
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User friendly error message: |
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Does this have anything to do with it? 16:12:35-820040 WARNING Unknown branch for: C:\Vlad Diffusion\automatic\extensions\deforum-for-automatic1111-webui |
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OK, I think I found the / and the backslash was in the settings. But why would it stand the wrong way? |
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This is the wrong repo. But that error should go away when this is merged: Closing and locking. No need to open a bug report in the deforum for a1111 repo, unless you tested after 655 was merged. |
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Is there a solution to this?
I have had this error for a few days. I deleted the files on my PC win11. And then it worked again. I tried removing no half and var too. And tried to set it in again. But now it won't work.
Same error, but I don't know how to fix it.
Does anyone have a solution?
START OF TRACEBACK
Traceback (most recent call last):
File "C:\Vlad Diffusion\automatic\extensions\deforum-for-automatic1111-webui\scripts\deforum.py", line 109, in run_deforum
render_animation(args, anim_args, video_args, parseq_args, loop_args, controlnet_args, root.animation_prompts, root) File "C:\Vlad Diffusion\automatic/extensions/deforum-for-automatic1111-webui/scripts\deforum_helpers\render.py", line 301, in render_animation
depth = depth_model.predict(turbo_next_image, anim_args.midas_weight, root.half_precision)
File "C:\Vlad Diffusion\automatic/extensions/deforum-for-automatic1111-webui/scripts\deforum_helpers\depth.py", line 103, in predict
midas_depth = self.midas_model.forward(sample)
File "C:\Vlad Diffusion\automatic/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/src\midas\dpt_depth.py", line 166, in forward
return super().forward(x).squeeze(dim=1)
File "C:\Vlad Diffusion\automatic/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/src\midas\dpt_depth.py", line 114, in forward
layers = self.forward_transformer(self.pretrained, x)
File "C:\Vlad Diffusion\automatic/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/src\midas\backbones\vit.py", line 13, in forward_vit
return forward_adapted_unflatten(pretrained, x, "forward_flex")
File "C:\Vlad Diffusion\automatic/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/src\midas\backbones\utils.py", line 86, in forward_adapted_unflatten
exec(f"glob = pretrained.model.{function_name}(x)")
File "", line 1, in
File "C:\Vlad Diffusion\automatic/extensions/deforum-for-automatic1111-webui/scripts/deforum_helpers/src\midas\backbones\vit.py", line 47, in forward_flex
x = self.patch_embed.proj(x).flatten(2).transpose(1, 2)
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Vlad Diffusion\automatic\extensions-builtin\a1111-sd-webui-lycoris....\extensions-builtin/Lora\lora.py", line 336, in lora_Conv2d_forward
return torch.nn.Conv2d_forward_before_lora(self, lora_input)
File "C:\Vlad Diffusion\automatic\extensions-builtin\a1111-sd-webui-lycoris\lycoris.py", line 752, in lyco_Conv2d_forward
return torch.nn.Conv2d_forward_before_lyco(self, input)
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\torch\nn\modules\conv.py", line 463, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: Input type (float) and bias type (struct c10::Half) should be the same
END OF TRACEBACK
User friendly error message:
Error: Input type (float) and bias type (struct c10::Half) should be the same. Check your schedules/ init values please. Also make sure you don't have a backwards slash in any of your PATHs - use / instead of .
WebSocket closed (ignore asyncio.exceptions.CancelledError)
Traceback (most recent call last):
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\gradio\routes.py", line 394, in run_predict
output = await app.get_blocks().process_api(
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\gradio\blocks.py", line 1075, in process_api
result = await self.call_function(
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\gradio\blocks.py", line 884, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\Vlad Diffusion\automatic\venv\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
asyncio.exceptions.CancelledError
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