kijai
59add151eb
Update attention.py
2025-07-20 16:22:27 +03:00
kijai
feddafcea2
Update model.py
2025-07-18 18:52:32 +03:00
kijai
6b9565ed63
Code refactoring
2025-07-18 16:15:50 +03:00
kijai
0e920e5b18
support VACE
2025-07-18 14:04:04 +03:00
kijai
55fc8a13e0
better mask cache, optimize
2025-07-18 13:55:06 +03:00
kijai
a7166fc1a4
fix and rename args to be clearer
2025-07-18 01:28:01 +03:00
kijai
712eecf64b
more compile friendly
2025-07-18 00:53:12 +03:00
kijai
605011a237
allow setting dense attention mode
2025-07-17 23:47:08 +03:00
kijai
9039d95721
cleanup and optimize
2025-07-17 22:40:26 +03:00
kijai
7c8020f8e8
works but slow
2025-07-17 21:49:14 +03:00
kijai
6ee7ad508e
init (not working)
2025-07-17 20:47:02 +03:00
kijai
2263d02a0a
basic Pusa support
2025-07-17 10:06:01 +03:00
kijai
24d3de2126
Add EasyCache
2025-07-14 17:27:10 +03:00
kijai
365a1ce1d6
more chunking and refactoring
2025-07-12 20:18:52 +03:00
kijai
895c92febd
Update model.py
2025-07-12 03:04:46 +03:00
kijai
039b211ef7
cleanup
2025-07-12 02:06:02 +03:00
kijai
127bfa2c99
refactor self attention
2025-07-11 23:00:59 +03:00
kijai
15f0e62e5f
Add chunked RoPE option to reduce peak VRAM usage when not using torch.compile
2025-07-10 17:15:06 +03:00
kijai
a9ba0e1cb4
small possible optimizations
2025-07-10 14:18:04 +03:00
kijai
d903ea7d3d
small fixes, add comfy pbar for model loading
2025-07-06 23:55:37 +03:00
kijai
6ae5531bad
Basic GGUF support (yes, really)
2025-07-06 21:37:45 +03:00
kijai
974dd656da
some offloading for multitalk
2025-07-03 21:56:19 +03:00
kijai and Rudra-ai-coder
475f371016
Multiple talkers
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Initial commit, works but needs more utility for the mask creation.
Based mostly on Rudra-ai-coder's modifications.
Co-Authored-By: Rudra-ai-coder <177262225+rudra-ai-coder@users.noreply.github.com >
2025-07-03 19:03:12 +03:00
kijai
f621d2a5fc
Update model.py
2025-06-30 20:31:39 +03:00
kijai
2da36b7fda
context window progress bar
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better than nothing, and allow cancelling mid context
2025-06-20 17:29:27 +03:00
kijai
157fbb1b7f
Merge branch 'main' into multitalk
2025-06-20 13:53:31 +03:00
kijai
8387a64b15
bump version
2025-06-20 10:57:13 +03:00
kijai
09b4c3a865
support context windows, torch compile fixes
2025-06-19 20:29:32 +03:00
kijai
b5cae8bf1a
Fix FLF2V model
2025-06-18 15:49:01 +03:00
kijai
58104b620f
init
2025-06-18 15:41:53 +03:00
kijai
b322192d93
Support minimaxremover
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https://minimax-remover.github.io/
2025-06-17 09:45:12 +03:00
kijai
ad43eed0d0
Add MagCache and consolidate cache_args to support both
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Not really getting great results yet with MagCache, but at least pretty much on bar with TeaCache so it can be an option that hopefully improves in time
2025-06-13 12:31:13 +03:00
kijai
e7c39757f6
Allow compiling crossattn
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I don't remember why I even disabled this... seems to work, big effect with NAG
2025-06-12 19:04:15 +03:00
kijai
d34cabc985
Cleanup, create own node for NAG
2025-06-12 18:18:28 +03:00
kijai
23796233df
Some fixes and adjustments
2025-06-12 17:26:54 +03:00
kabachuha
803ba1cd72
rm commented out code
2025-06-12 15:34:11 +03:00
kabachuha
e8d3f1cca5
fixup when context lens are none
2025-06-12 15:30:30 +03:00
kabachuha
bdf7a3d02a
pass nag scale into the model
2025-06-12 15:26:59 +03:00
kabachuha
0ac366ba03
add nag to attention internal parts
2025-06-12 14:43:51 +03:00
kijai
a290f75b5e
Update model.py
2025-06-05 23:41:17 +03:00
kijai
e2f42b5773
realisdance
2025-06-03 08:02:59 +03:00
kijai
cd2884d88a
Initial ATI support
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https://github.com/bytedance/ATI
2025-05-31 01:17:18 +03:00
kijai
fb73022a06
controlnet device fix
2025-05-29 18:42:46 +03:00
kijai
129f368380
Fix uni3c on fp16 and add strength parameters
2025-05-29 13:25:52 +03:00
kijai
23e3368de3
Initial Dilated Controlnet support
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https://huggingface.co/TheDenk/wan2.1-t2v-1.3b-controlnet-hed-v1
https://huggingface.co/TheDenk/wan2.1-t2v-14b-controlnet-hed-v1
2025-05-26 21:54:48 +03:00
kijai
ef1ed29178
partial Uni3C implementation
2025-05-26 12:35:36 +03:00
kijai
7875031efe
Support list input for VACE strength
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Allows finer control of VACE strength over timesteps
2025-05-21 19:04:25 +03:00
kijai
fa7015315a
Possibly reduce TeaCache VRAM use a bit
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Uses 500-700MB less at 1280x720
2025-05-20 21:07:15 +03:00
kijai
abdac5ec3a
Update model.py
2025-05-14 10:31:44 +03:00
kijai
bfed2afc2e
Add flex_attention for CausVid
2025-05-13 21:35:34 +03:00
kijai