cocktailpeanutlabs / faceid Goto Github PK

Microsoft Windows [Version 10.0.22621.3007]
(c) Microsoft Corporation. Tüm hakları saklıdır.

C:\Users\cetin\pinokio\api\faceid.git>C:\Users\cetin\pinokio\api\faceid.git\env\Scripts\activate C:\Users\cetin\pinokio\api\faceid.git\env && python app.py
C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\transformers\models\clip\feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
warnings.warn(
Loading pipeline components...: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:04<00:00, 1.24it/s]
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle: <Handle _ProactorBasePipeTransport._call_connection_lost(None)>
Traceback (most recent call last):
File "C:\Users\cetin\pinokio\bin\miniconda\lib\asyncio\events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\cetin\pinokio\bin\miniconda\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] Varolan bir bağlantı uzaktaki bir ana bilgisayar tarafından zorla kapatıldı
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
Pipelines loaded with dtype=torch.float16 cannot run with cpu device. It is not recommended to move them to cpu as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support forfloat16 operations on this device in PyTorch. Please, remove the torch_dtype=torch.float16 argument, or use another device for inference.
C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py:69: UserWarning: Specified provider 'CUDAExecutionProvider' is not in available provider names.Available providers: 'AzureExecutionProvider, CPUExecutionProvider'
warnings.warn(
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: C:\Users\cetin/.insightface\models\buffalo_l\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: C:\Users\cetin/.insightface\models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: C:\Users\cetin/.insightface\models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: C:\Users\cetin/.insightface\models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0
Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}}
find model: C:\Users\cetin/.insightface\models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5
set det-size: (640, 640)
C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\insightface\utils\transform.py:68: FutureWarning: rcond parameter will change to the default of machine precision times max(M, N) where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass rcond=None, to keep using the old, explicitly pass rcond=-1.
P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4
Generating plus
Traceback (most recent call last):
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\gradio\queueing.py", line 495, in call_prediction
output = await route_utils.call_process_api(
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\gradio\route_utils.py", line 232, in call_process_api
output = await app.get_blocks().process_api(
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\gradio\blocks.py", line 1561, in process_api
result = await self.call_function(
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\gradio\blocks.py", line 1179, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\anyio_backends_asyncio.py", line 2134, in run_sync_in_worker_thread
return await future
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\anyio_backends_asyncio.py", line 851, in run
result = context.run(func, *args)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\gradio\utils.py", line 678, in wrapper
response = f(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\gradio\utils.py", line 678, in wrapper
response = f(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\app.py", line 84, in generate_image
image = ip_model_plus.generate(
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\ip_adapter\ip_adapter_faceid.py", line 374, in generate
image_prompt_embeds, uncond_image_prompt_embeds = self.get_image_embeds(faceid_embeds, face_image, s_scale, shortcut)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\ip_adapter\ip_adapter_faceid.py", line 329, in get_image_embeds
clip_image_embeds = self.image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\transformers\models\clip\modeling_clip.py", line 1287, in forward
vision_outputs = self.vision_model(
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\transformers\models\clip\modeling_clip.py", line 841, in forward
hidden_states = self.embeddings(pixel_values)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\transformers\models\clip\modeling_clip.py", line 182, in forward
patch_embeds = self.patch_embedding(pixel_values.to(dtype=target_dtype)) # shape = [, width, grid, grid]
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Users\cetin\pinokio\api\faceid.git\env\lib\site-packages\torch\nn\modules\conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: "slow_conv2d_cpu" not implemented for 'Half'