kijai
e560366600
Update model.py
2025-10-27 18:55:30 +02:00
kijai
f880b321c6
Allow compile in lora application
2025-10-27 01:34:32 +02:00
kijai
51fcbd6b3d
Revert "Allow compile here"
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This reverts commit f583b56878
2025-10-27 01:07:03 +02:00
kijai
f583b56878
Allow compile here
2025-10-27 01:06:39 +02:00
kijai
c59e52ca44
Precision adjustments
2025-10-27 00:23:32 +02:00
kijai
a0bdf20817
Some cleanup and allow full block swap
2025-10-26 23:05:17 +02:00
kijai
8ad7e50f33
Fix cross attention split point
2025-10-26 22:07:19 +02:00
kijai
d504c96174
Separate attention for input images like in original
2025-10-26 19:14:47 +02:00
kijai
43acf83adb
Update model.py
2025-10-26 16:57:25 +02:00
kijai
fb00932cad
Init
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https://huggingface.co/Kijai/LongCat-Video_comfy/tree/main
2025-10-26 16:36:20 +02:00
wzxysf
6a37c0b2d6
Enable vae tiling with end frame
2025-10-24 22:23:31 +08:00
kijai
d74cfc54e8
Don't zero the extra frames
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Possible fix for SVI "shot" method
2025-10-24 15:28:35 +03:00
kijai
cfa883767f
Update utils.py
2025-10-24 12:50:49 +03:00
kijai
88a60d71ab
Fix
2025-10-23 23:25:20 +03:00
kijai
b3ad381a65
not all torch versions have this
2025-10-23 21:12:45 +03:00
kijai
41168b1e82
Support light VAE
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https://huggingface.co/lightx2v/Autoencoders/tree/main
2025-10-23 12:31:55 +03:00
kijai
7251c996d2
Load these LoRA keys too
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Even though doesn't seem to do anything? At least silences the errors
2025-10-22 20:43:45 +03:00
kijai
67fcf0ba52
Reduce needless torch.compile recompiles
2025-10-22 13:29:13 +03:00
kijai
aa610cde2b
VACE: Support per context window reference images
2025-10-22 11:24:30 +03:00
kijai
6b286552b7
MocHa: remove possibly alpha channel from inputs
2025-10-21 23:26:17 +03:00
kijai
2ea824b9ab
Mocha: Fix context window slicing
2025-10-21 20:33:03 +03:00
kijai
001040abc7
Update nodes.py
2025-10-21 20:27:37 +03:00
kijai
746d46e137
WanVideoScheduler: Always show split step sigma
2025-10-21 20:14:54 +03:00
kijai
089329ef2e
MoCha: revert some RoPE changes
2025-10-21 20:12:40 +03:00
cmeka
f653544f7b
Merge branch 'kijai:main' into custom-sigmas
2025-10-21 12:48:02 -04:00
cmeka
425035d810
Fix custom sigmas for supported schedulers
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Previously, only unipc, dpm++, and dpm++_sde schedulers preserved custom input sigmas exactly. Other schedulers such as (euler, lcm, deis,
etc.) would transform or modify the sigmas through their set_timesteps() methods, causing inconsistent behavior.
2025-10-21 12:46:58 -04:00
kijai
5c1f64197e
Check for actual scale_weights even if the model for some reason doesn't have the scaled_fp8 key
2025-10-21 19:40:50 +03:00
kijai
54e938cd70
MoCha: Fix context window mask
2025-10-21 19:40:01 +03:00
kijai
7495db7669
Update nodes_sampler.py
2025-10-21 19:15:57 +03:00
kijai
4e36aee658
MoCha: experimental context windows support
2025-10-21 18:32:40 +03:00
kijai
56120d633e
Update nodes.py
2025-10-21 17:59:37 +03:00
kijai
1f0861b649
MoCha: modify RoPE function to be more torch.compile friendly
2025-10-21 17:54:25 +03:00
kijai
7916f89c33
Add updated MoCha example for lower VRAM
2025-10-21 17:27:41 +03:00
Jukka Seppänen
e294f417c0
Merge pull request #1501 from unrealMJ/mocha
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[Feature] Request to add MoCha: End-to-End Video Character Replacement without Structural Guidance
2025-10-21 17:17:21 +03:00
unrealMJ
ee011e66e9
update workflow
2025-10-21 17:28:50 +08:00
unrealMJ
d7fc563581
add mocha workflow
2025-10-21 10:00:51 +08:00
unrealMJ
88defbfdd1
add MoCha
2025-10-21 09:40:54 +08:00
Jukka Seppänen
74f33df658
Merge pull request #1493 from HM-RunningHub/fix-uni3c-context-options
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Fix Uni3C + Context Options compatibility (Issue #1491 )
2025-10-20 22:33:38 +03:00
wenjian
487c400e8e
Fix Uni3C + Context Options compatibility issue (Issue #1491 )
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Add uni3c_data parameter to predict_with_cfg() call in context windowing loop.
Without this parameter, Uni3C camera effects were not working when using
Context Options for long video generation. This makes the context windowing
behavior consistent with multitalk and wananimate sampling modes.
2025-10-21 02:31:47 +08:00
kijai
200f6943e3
Add sageattn mode that allows torch.compile
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Latest wheel from woct0rdho includes the torch.compile fix:
https://github.com/woct0rdho/SageAttention/releases
Based on my quick testing this reduces peak VRAM usage a bit when running sageattn + torch.compile
2025-10-20 15:16:43 +03:00
kijai
8081e1337c
Fix downcasting for fp8_fast and add error to indicate you can't do scaled downcast currently
2025-10-20 13:46:05 +03:00
kijai
9ecb80a58b
Support loading VACE LoRAs (for ditto)
2025-10-20 11:49:49 +03:00
kijai
967d15321d
fix rcm scheduler check
2025-10-19 19:49:24 +03:00
kijai
9cd79d3d4a
Add experimental rCM scheduler
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Based on the original code, works but doesn't feel better than dpm++_sde so far
2025-10-19 19:34:17 +03:00
kijai
7ecd55e92a
bump version
2025-10-19 18:13:09 +03:00
kijai
99c0efdb45
Expose force_parameter_static_shapes in torch.compile options
2025-10-19 18:01:03 +03:00
kijai
a721fe3d0f
Better (hopefully) FlashVSR frame selection
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First frame was completely discarded before
2025-10-19 13:49:40 +03:00
kijai
e8ecda7240
Update wanvideo_1_3B_FlashVSR_upscale_example.json
2025-10-18 16:16:25 +03:00
kijai
7d88316bf8
Fix for the case of applying unmerged lora to already compiled model
2025-10-18 14:00:18 +03:00
kijai
6bcbfc54cf
Fix diffusion forcing
2025-10-17 18:20:45 +03:00
kijai