AUTOMATIC1111 / stable-diffusion-webui-pixelization

stable-diffusion-webui-pixelization
MIT License
550 stars 72 forks source link

Does not work #2

Open bbecausereasonss opened 1 year ago

bbecausereasonss commented 1 year ago

Error completing request Arguments: (0, <PIL.Image.Image image mode=RGB size=1024x1024 at 0x18DA4CBBF70>, None, '', '', True, 0, 1, 512, 512, True, '4x-UltraSharp', 'None', 0, 0, 0, 0, True, False, 1) {} Traceback (most recent call last): File "C:\Users\chlyw\Desktop\Automatic1111\modules\call_queue.py", line 56, in f res = list(func(*args, kwargs)) File "C:\Users\chlyw\Desktop\Automatic1111\modules\call_queue.py", line 37, in f res = func(args, kwargs) File "C:\Users\chlyw\Desktop\Automatic1111\modules\postprocessing.py", line 56, in run_postprocessing scripts.scripts_postproc.run(pp, args) File "C:\Users\chlyw\Desktop\Automatic1111\modules\scripts_postprocessing.py", line 126, in run script.process(pp, process_args) File "C:\Users\chlyw\Desktop\Automatic1111\extensions\stable-diffusion-webui-pixelization\scripts\postprocessing_pixelization.py", line 209, in process images = self.model.G_A_net.module.RGBDec(feature, adain_params) File "C:\Users\chlyw\Desktop\Automatic1111\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(input, kwargs) File "C:\Users\chlyw\Desktop\Automatic1111\extensions\stable-diffusion-webui-pixelization\pixelization\models\c2pGen.py", line 260, in forward x = self.conv_2(x) File "C:\Users\chlyw\Desktop\Automatic1111\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, *kwargs) File "C:\Users\chlyw\Desktop\Automatic1111\extensions\stable-diffusion-webui-pixelization\pixelization\models\basic_layer.py", line 251, in forward x = self.conv(self.pad(x)) File "C:\Users\chlyw\Desktop\Automatic1111\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(input, **kwargs) File "C:\Users\chlyw\Desktop\Automatic1111\venv\lib\site-packages\torch\nn\modules\padding.py", line 178, in forward return F.pad(input, self.padding, 'reflect') RuntimeError: input tensor must fit into 32-bit index math