Dunno why this would get downvoted, do people hate options
TheVanessii
Creator of
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How do I disable Ultra-violence+? My source wads don't have unity update garbage in them, I don't want that in my smooshed wad :(
Could maybe put a thing that checks whether you're using unity versions or not, so that it doesn't put it there regardless? It just kinda irks me a bit, especially because the UV+ menu text glaringly sticks out like a red thumb due to it's font color not matching the other difficulties
Cool! Last one I found was under Progression I think. It reads "When characters return from their adventures with loot, treasures of with some quest/goal completed, they gain 1 Level." and I think it's supposed to read "When characters return from their adventures with loot, treasures [or] with some quest/goal completed, they gain 1 Level.
Sorry I wasn't able to put this all together in a single post with the previous one!
Hey there! I was curious about the reasoning behind daggers requiring strength, but a longsword can use 2 dex to wield? This would mean that a full dex character can't use a dagger in the beginning, but a full strength character could use daggers easily? This also means a full dex build can't use daggers, but they can use axes, longswords, and swords? I would assume that a dagger would allow one to use maybe 1 Dex / 1 Dex or Str to wield it, since I wouldn't really imagine them being fully strength weapons,,,? I guess this is a suggestion I dunno, but I'm just kinda curious on what the intent here is I suppose? There's also hammers and maces which can use 1 Dex, but Daggers can't,,, which I find very confusing. If anything, I'd think the staffs, maces, and hammers would require 1 Str, while the daggers, dirks, and sickles would require 1 Dex or something. I guess it just seems kinda backwards in a way?
I get the same error 90% of the time
cudnn is used
OK
D:/Hentai/Pics/1566840918519.gif
Input FPS: 12.5
QWindowsNativeFileDialogBase::shellItem : Unhandled scheme: "data"
C:/Users/Deej/Desktop
D:/Hentai/Pics/1566840918519.gif
C:/Users/Deej/Desktop/1566840918519//1566840918519.mp4
12.5
0
0
1
Interpolate 1 frames
The testing model weight is: ./model_weights/best.pth
Framerate Index: 0
D:\DAIN_APP Alpha\torch\nn\functional.py:2494: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
D:\DAIN_APP Alpha\torch\nn\functional.py:2693: UserWarning: Default grid_sample and affine_grid behavior will be changed to align_corners=False from 1.4.0. See the documentation of grid_sample for details.
warnings.warn("Default grid_sample and affine_grid behavior will be changed "
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
..\torch\csrc\autograd\python_function.cpp:622: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)
Traceback (most recent call last):
File "my_design.py", line 79, in render
File "my_DAIN_class.py", line 469, in RenderVideo
File "my_DAIN_class.py", line 202, in interpolate
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "networks\DAIN_slowmotion.py", line 182, in forward
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "Resblock\BasicBlock.py", line 81, in forward
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "site-packages\torch\nn\modules\container.py", line 92, in forward
File "site-packages\torch\nn\modules\module.py", line 541, in __call__
File "site-packages\torch\nn\modules\conv.py", line 345, in forward
File "site-packages\torch\nn\modules\conv.py", line 342, in conv2d_forward
RuntimeError: CUDA out of memory. Tried to allocate 280.00 MiB (GPU 0; 4.00 GiB total capacity; 2.92 GiB already allocated; 0 bytes free; 35.32 MiB cached)