kijai
5bacc50088
Add safety check for context windows to avoid crash on tensor slicing
2025-07-31 17:09:05 +03:00
kijai
b60814fb6b
Fix split prompting, get rid of diffusers on model class
2025-07-31 15:11:47 +03:00
kijai
ef23a6213d
return denoised samples as well for previewing unfinished latents
2025-07-31 12:50:10 +03:00
kijai
0cc4583653
flowedit fix
2025-07-31 12:21:40 +03:00
kijai
e545b18627
vid2vid fix
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Need to use add_noise_to_samples = True now for vid2vid, defaulting to False to not break 2.2 dual sampler workflows, but hardcode to always be True if denoise is used to not break old workflows
2025-07-30 19:41:51 +03:00
kijai
ec066008a8
Make start/end step work with vid2vid
2025-07-30 15:59:22 +03:00
kijai
6ef3ee83ef
Update nodes.py
2025-07-30 00:40:42 +03:00
kijai
6875b99611
remove this for now
2025-07-29 02:33:20 +03:00
kijai
5238f40fe3
Update nodes.py
2025-07-29 02:20:20 +03:00
kijai
a3032e4363
clear lora patches first
2025-07-29 01:45:25 +03:00
kijai
7e290c67bf
Fix comfy progress bar when not doing full steps
2025-07-28 23:16:06 +03:00
kijai
498c6859fe
Merge branch 'pr/883'
2025-07-28 22:16:48 +03:00
kijai
08d4569794
Update nodes.py
2025-07-28 21:42:35 +03:00
kijai
d6e9af7090
2.2 stuff
2025-07-28 21:38:40 +03:00
kabachuha
fd285a7e7d
implement tangential guidance
2025-07-28 21:08:10 +03:00
kijai
ee6e790d80
Update nodes.py
2025-07-28 09:50:50 +03:00
kijai
5e725ff8fb
Allow running T5 no cpu
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This is actually surprisingly fast, on AMD Ryzen 9 9900X it's faster to not move the T5 to GPU than to keep it on CPU all the way.
2025-07-28 09:39:36 +03:00
kijai
f61aae6158
minimax + context windows
2025-07-27 17:10:41 +03:00
kijai
f86d2b84a0
Update nodes.py
2025-07-27 15:34:57 +03:00
kijai
3567202e75
Fix compile and support radial attn in the DF sampler
2025-07-27 14:19:31 +03:00
kijai
df1476bf42
Support EchoShot
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https://github.com/D2I-ai/EchoShot
2025-07-26 18:51:29 +03:00
kijai
5c36a4b111
minor memory tweaks
2025-07-26 14:19:07 +03:00
kijai
3157e0389e
Update nodes.py
2025-07-26 11:50:24 +03:00
kijai
a35eb7dfa4
Basic sageattn3 support
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Probably going to need further timestep scheduling as the quality of sage3 on it's own is pretty bad.
2025-07-25 20:48:34 +03:00
kijai
b3820055d0
Fix GGUF with LoRAs and support GGUF witgh SetLoras -node
2025-07-24 14:59:59 +03:00
kijai
35e637cbfd
Allow merging LoRA to fp8 scaled models
2025-07-24 11:51:36 +03:00
kijai
59cd0dc272
Update nodes.py
2025-07-23 18:11:15 +03:00
kijai
bdce322e65
remove loras if SetLora bypassed/disconnected
2025-07-23 17:51:59 +03:00
kijai
3ed58330d9
better
2025-07-23 16:56:33 +03:00
kijai
65ac9fa6d9
cache positive and negative separately, add cache to single encode node as well
2025-07-23 16:33:11 +03:00
kijai
5e56e3649f
fix control lora
2025-07-23 16:20:30 +03:00
kijai
0212ad7a2d
cache only the prompts
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so we can disconnect T5 completely if text embed exists in cache
2025-07-23 15:33:32 +03:00
kijai
1a1af02912
Allow using different init image for context windows beyond first one
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This can be useful with models like MAGREF that behave differently when the init image is padded with white, idea is to use full init for first window and padded image for the rest, so that it works more like reference and doesn't force the window to snap back to the init.
2025-07-23 12:51:57 +03:00
kijai
fa93f5b3c1
Add optional prompt disk caching
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Caches text embeds to disk with unique hash based on T5 name, dtype and prompts. If found on disk skips encoding, persists after restarts.
2025-07-23 00:52:56 +03:00
kijai
296baa30ce
Add WanVideoSetLoRAs
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Node to set the LoRA weights to use with the unmerged LoRA mode, not able to merge LoRAs but allows instant LoRA switching without any loading times. The effect of unmerged LoRAs is stronger and differs from merged LoRAs.
2025-07-21 22:39:17 +03:00
kijai
e5b125cd89
Allow setting any block as dense for Radial attention
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Also added WanVideoBlockList helper to to create list of ints that can be inserted to the dense_blocks -input.
2025-07-20 16:21:37 +03:00
kijai
0dba876979
Correct radial attn mask size when using context windows
2025-07-20 13:22:56 +03:00
kijai
bb82d63453
Update nodes.py
2025-07-20 13:08:40 +03:00
kijai
768a4b2d90
Fix radial attention cache not resetting on resolution change, add more robust supported dimension check
2025-07-20 12:15:01 +03:00
kijai
1f25bba463
Merge branch 'pr/828'
2025-07-20 02:13:26 +03:00
kijai
47978275bb
Update nodes.py
2025-07-20 02:13:07 +03:00
kijai
edd9b20691
Add res_multistep
2025-07-20 01:41:17 +03:00
komikndr
d3aba90119
adding 64 block_size
2025-07-19 20:05:19 +07:00
kijai
5a305a7f9f
include sparse_sage_API code
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https://github.com/jt-zhang/Sparse_SageAttention_API
2025-07-18 17:16:43 +03:00
kijai
c68f5f7439
move node
2025-07-18 16:41:49 +03:00
kijai
c08296747f
more refactoring
2025-07-18 16:31:34 +03:00
kijai
6b9565ed63
Code refactoring
2025-07-18 16:15:50 +03:00
kijai
8b8da7d8fe
Update nodes.py
2025-07-18 14:41:38 +03:00
kijai
8538c517e6
Merge branch 'radial_attn'
2025-07-18 14:40:10 +03:00
kijai
ed11e2bb3e
Update nodes.py
2025-07-18 14:37:11 +03:00
kijai