Deoldify Vapoursynth filter

[Selur]

Could you fix this issue ?

There is nothing to fix. That is a text field, Hybrid does no validation for it.
(too many parameters to write checks for them)

Updated the download, hopefully I got all changes.

When calling (increased renderfactor to 25):

# adding colors using DeOldify from vsdeoldify import ddeoldify clip = ddeoldify(clip=clip, mweight=0.51, deoldify_p=[0, 25, 0.99, 0.01], ddcolor_p=[1, 25, 0.99, 0.01, True], ddtweak=True, ddtweak_p=[0.0, 1.0, 2.5, True, 0.1, 0.5, 1.5, 0.5, "70:90,300:360|0.2,0"]) from vsdeoldify import ddeoldify_stabilizer clip = ddeoldify_stabilizer(clip=clip, dark=True, dark_p=[0.3, 0.9, "0:20"], smooth=True, smooth_p=[0.2, 0.7, 0.9, 0.05, "none"], stab=True, stab_p=[5, 'A', 1, 15, 0.3, 0.15, "290:360|0.4,0.2"], render_factor=25)

is used, which returns:

Error on frame 0 request: Traceback (most recent call last): File "src\cython\vapoursynth.pyx", line 2941, in vapoursynth.publicFunction File "src\cython\vapoursynth.pyx", line 2943, in vapoursynth.publicFunction File "src\cython\vapoursynth.pyx", line 683, in vapoursynth.FuncData.__call__ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\__init__.py", line 94, in inference output_ab = module(img_gray_rgb) ^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch.py", line 59, in forward out_feat = self.decoder() ^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch.py", line 107, in forward out0 = self.layers[0](encode_feat) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch_utils\unet.py", line 207, in forward cat_x = self.relu(torch.cat([up_out, self.bn(s)], dim=1)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 24 but got size 25 for tensor number 1 in the list.

Cu Selur