Deoldify Vapoursynth filter

[zspeciman]

Got it, here it is:

2024-03-28 06:16:20.690 Qt warning: QPixmap::scaled: Pixmap is a null pixmap 2024-03-28 06:16:21.339 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 "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\__init__.py", line 94, in inference output_ab = module(img_gray_rgb) ^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch.py", line 59, in forward out_feat = self.decoder() ^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch.py", line 113, in forward out = self.color_decoder([out0, out1, out2], out3) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch.py", line 305, in forward output = self.transformer_cross_attention_layers[i]( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch_utils\transformer_utils.py", line 124, in forward return self.forward_post(tgt, memory, memory_mask, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsddcolor\ddcolor_arch_utils\transformer_utils.py", line 93, in forward_post tgt2 = self.multihead_attn(query=self.with_pos_embed(tgt, query_pos), ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\modules\activation.py", line 1241, in forward attn_output, attn_output_weights = F.multi_head_attention_forward( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Program Files\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\nn\functional.py", line 5440, in multi_head_attention_forward attn_output = scaled_dot_product_attention(q, k, v, attn_mask, dropout_p, is_causal) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: cutlassF: no kernel found to launch!