Issues -> Discussions

[C0untFloyd]

I'm transfering all user problems and questions created under issues to Q&A discussions because mostly those are about technical problems on their end. I want to keep issues clear for real bug reports and enhancements only.

[veajawad]

After the last update, I am getting the following error. How do I fix it?:

Error
OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\core\src\arithm.cpp:674: error: (-5:Bad argument) When the input arrays in add/subtract/multiply/divide functions have different types, the output array type must be explicitly specified in function 'cv::arithm_op'

[NIBOIEU]

same error here, what could it be?

[SakoJutin]

When you lunch type y , they will update and solve your problem

[NIBOIEU]

didn't work for me

[kishorvivian]

After updated to 4.1.0
Roop Unleashed shows this error, shown below.
Please advise how to fix. Or update the repository. Please

paste_face = cv2.addWeighted(paste_face, self.options.blend_ratio, fake_face, 1.0 - self.options.blend_ratio, 0)

cv2.error: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\core\src\arithm.cpp:674: error: (-5:Bad argument) When the input arrays in add/subtract/multiply/divide functions have different types, the output array type must be explicitly specified in function 'cv::arithm_op'

[C0untFloyd]

Fixed

[NIBOIEU]

I experience this error when I trigger any post-processing. how to proceed?

[kishorvivian]

Thanks for Greatest tool Roop Unleashed. Sorry, I am a novice here. I use Windows PC.
But unlike Roop Unleashed and Bark, Unfortunately I could not find any batch file to install the other two tools ( Coiffeur and gpt4free-gradio) on my Windows PC. Any installation solution? Or any other way ? Please suggest.

[C0untFloyd]

I'm sorry but those 2 repos are more or less private experiments and not fit for the public yet.

[MrMortonIII]

C0untFloyd thank you for your great project and incredible work. I have been having an issue related to ffmpeg and I cannot troubleshoot successfully. I'm able to generate one faceswap video upon PC startup, but any attempts to generate videos after this produce the below error. Image faceswapping continues to work, the problem is isolated to video generation.

I performed a clean install from github and the issue persists, any assistance with this would be greatly appreciated

[C0untFloyd]

The same video wouldn't work if used twice? Usually above error is showing if the video uses some exotic codec.

[MrMortonIII]

That is correct, same video doesn't work twice. Later on I was able to resolve the issue (temporarily) by repairing some corrupted windows files, but after a few days away I came back and now it gives me this error every single time.

[ali-m-github]

I started having this issue few weeks ago, it won't update now and is stuck at version 4.0.0
Launching roop unleashed - please edit windows_run.bat to customize commandline arguments
Check for Updates? [y/n]y
error: bad signature 0x00000000
fatal: index file corrupt
error: bad signature 0x00000000
fatal: index file corrupt
error: bad signature 0x00000000
fatal: index file corrupt
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu118
Ignoring torch: markers 'sys_platform == "darwin"' don't match your environment
Ignoring torchvision: markers 'sys_platform == "darwin"' don't match your environment
Ignoring onnxruntime: markers 'sys_platform == "darwin" and platform_machine != "arm64"' don't match your environment
Ignoring onnxruntime-silicon: markers 'sys_platform == "darwin" and platform_machine == "arm64"' don't match your environment
Requirement already satisfied: numpy==1.26.4 in c:\roop-unleashed\installer_files\env\lib\site-packages (from -r requirements.txt (line 3)) (1.26.4)
Requirement already satisfied: gradio==4.32.1 in c:\roop-unleashed\installer_files\env\lib\site-packages (from -r requirements.txt (line 4)) (4.32.1)
Requirement already satisfied: opencv-python==4.9.0.80 in c:\roop-unleashed\installer_files\env\lib\site-packages (from -r requirements.txt (line 5)) (4.9.0.80)

[C0untFloyd]

error: bad signature 0x00000000

Might be a corrupt file in your local installation. Did you try starting with a fresh install? To save bandwidth you could backup the already downloaded models.

[ali-m-github]

Fixed on Windows by using the following commands and without the need to lose or reinstall anything.

del .git\index
git reset

[sl0www]

I, i changed the provider into cpu instead of cuda but when i try to put a face i got this error :

Aborting processing - please wait for the remaining threads to be stopped
*************** EP Error ***************
EP Error D:\a_work\1\s\onnxruntime\core\providers\cuda\cuda_call.cc:121 onnxruntime::CudaCall D:\a_work\1\s\onnxruntime\core\providers\cuda\cuda_call.cc:114 onnxruntime::CudaCall CUDA failure 35: CUDA driver version is insufficient for CUDA runtime version ; GPU=-667894352 ; hostname=DESKTOP-72JAA0B ; file=D:\a_work\1\s\onnxruntime\core\providers\cuda\cuda_execution_provider.cc ; line=245 ; expr=cudaSetDevice(info_.device_id);

when using ['CUDAExecutionProvider']
Falling back to ['CUDAExecutionProvider', 'CPUExecutionProvider'] and retrying.

I have AMD CPU/GPU i but i don't rlly know if its why

[C0untFloyd]

I have AMD CPU/GPU i but i don't rlly know if its why

Yes that's why. You would either need to choose cpu or install directml. Take a look here https://github.com/C0untFloyd/roop-unleashed/wiki/Installation

[sl0www]

I hadn't been paying attention, but without changing anything I simply reopened the program and searched for updates, after that it worked normally finding the face well, thanks anyway!

[littlef]

error
D:\a_work\1\s\onnxruntime\core\providers\cuda\cuda_call.cc:121 onnxruntime::CudaCall D:\a_work\1\s\onnxruntime\core\providers\cuda\cuda_call.cc:114 onnxruntime::CudaCall CUDA failure 35: CUDA driver version is insufficient for CUDA runtime version ; GPU=919717200 ; hostname=DESKTOP-ESBLHAT ; file=D:\a_work\1\s\onnxruntime\core\providers\cuda\cuda_execution_provider.cc ; line=245 ; expr=cudaSetDevice(info_.device_id);
i have ( intel )i have this issue even though i have already installed openvino and already have placed it in the installation file in the roop unleashed main file

please help , its been over a month that i am trying to use roop unleashed and failing constantly.

[C0untFloyd]

You need to switch from cuda to cpu in the settings tab. Apply settings, restart all.

[BadgerSlayer3]

Hi Guys, maybe someone here can help me. I realized Roop is using my GPU (Nvidia) near a 100% but it does not touch the shared GPU memory which would give it 24GB extra memory. Anyone know how to make it use this memory too?

[C0untFloyd]

Be careful what you wish for! 😉
Using shared memory would mean shuffling memory forth and back between cpu and gpu, which is very, very slow! I doubt you would want that. You can easily force this by using a high resolution video, selecting a post-processor and cranking up the number of threads to...let's say 10 or so. It will fill up your VRAM and processing will take ages.

[naoassisto]

Issue Summary

Since this morning, I've been encountering the following error when running my FastAPI application on Google Colab. It occurs whenever I try to perform any action, and it completely halts the execution of my app:

ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/pydantic/type_adapter.py", line 277, in _init_core_attrs
    self._core_schema = _getattr_no_parents(self._type, '__pydantic_core_schema__')
  File "/usr/local/lib/python3.10/dist-packages/pydantic/type_adapter.py", line 119, in _getattr_no_parents
    raise AttributeError(attribute)
AttributeError: __pydantic_core_schema__

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/h11_impl.py", line 406, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
  File "/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", line 70, in __call__
    return await self.app(scope, receive, send)
  File "/usr/local/lib/python3.10/dist-packages/fastapi/applications.py", line 1054, in __call__
    await super().__call__(scope, receive, send)
  File "/usr/local/lib/python3.10/dist-packages/starlette/applications.py", line 113, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", line 187, in __call__
    raise exc
...
pydantic.errors.PydanticSchemaGenerationError: Unable to generate pydantic-core schema for <class 'starlette.requests.Request'>. Set `arbitrary_types_allowed=True` in the model_config to ignore this error or implement `__get_pydantic_core_schema__` on your type to fully support it.

For further information visit https://errors.pydantic.dev/2.8/u/schema-for-unknown-type

Steps Taken

I've tried several approaches to resolve the issue, including:

1. Changing library versions: I’ve downgraded and upgraded various library versions (specifically FastAPI, Pydantic, and Starlette), but the issue persists across different versions.

2. Setting arbitrary_types_allowed=True: Based on the error message, I tried adding arbitrary_types_allowed=True to the model configuration, but that did not resolve the issue either.

Request for Help

• Has anyone else run into this error recently?
• Is there a more stable combination of library versions that works?
• Any other potential workarounds for handling the __pydantic_core_schema__ issue?

Any guidance or suggestions would be greatly appreciated! Thanks in advance for your help!

[C0untFloyd]

#886
Just update.

[Elise96nl]

@C0untFloyd "" Force CPU for Face Analyser" what does this setting do. is detecting faces better with cpu? and is it a way of forcing better detecting, but the other stuff still runs on gpu?

[Elise96nl]

found it!

Man, this stuff is really weird!
First, as other people pointed out too, v2.0.3 wasn't running faster for me than the gradio version. The frames per second display in the output isn't very accurate and just notices the timespan between progress updates. The gradio versions should in theory run faster even (when using enhancers etc.) because the gradio version doesn't do any post-processing if there is no face detected previously AND it only does post-processing in the bounding boxes of the target faces. BUT v2.0.3 always extracts all of the movie frames at the beginning and just loads them in each thread, which probably negates the speed improvement again. In theory the gradio version with 'keep frames' checked should be the fastest.
Now back to my optimizing adventures:
The screenshot I posted this morning, was running with every movie frame loaded into memory, which obviously won't work with bigger movie clips or less memory. So I revised the code again & again and it seemed to get even slower. Then I changed to CPU-only and it was running about 3x as fast as with CUDA-enabled. That means my improvements were working, there must be some sort of race-condition in the CUDA code or the face recognition blocks the other models. As I wrote previously, some of the roop forks went back to CPU-only. What I'm doing now is mixing it and adding preloading for slow drives.
There's now a checkbox to force the face swapping to be done on CPU and the rest will use whatever provider you selected.
In addition a preload buffer size can be set to the number of images to be preloaded for each thread. My sweet spots are 8 threads, 16 images buffer size and force cpu turned on. This is about 4 times faster as previously. The processing time will also be output after finishing so you people don't have to guess anymore:

Processing took 30.049463987350464 secs

[C0untFloyd]

Yeah but it's sort of outdated info. The number of threads back then were much higher than now (don't even think about having 8) and the race conditions should be gone for good since using onnx instead of torch. I have it disabled.

[Elise96nl]

swapping 15/20 faces on a 2160p video file. This is hardcore ;)

[Elise96nl]

i cant process video files with HDR. Is it because i use
Video Codec
default: libx264

or is it not implemented?

I quess it's just the x264 that doesnt support hdr? Will try that first.

[Elise96nl]

Enhance_DMDNet
true to false fixes dmdnet on amd directml! But i quess its running on cpu. but it's nice to only have dmdnet on cpu while rest of roop is on directml mode.
takes a toll
Processing: 8%|█▋ | 24/310 [02:12<26:24, 5.54s/frames, memory_usage=07.13GB, execution_threads=1]

` def create(self, devicename):

    self.torchdevice = torch.device(devicename)

    model_dmdnet = DMDNet().to(self.torchdevice)

    weights = torch.load('./models/DMDNet.pth', map_location=self.torchdevice) 

    model_dmdnet.load_state_dict(weights, strict=False)`