kijai
e4084a961b
Update nodes.py
2025-11-06 18:32:53 +02:00
kijai
3ec1edefbe
init
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For testing, no idea if it works yet
2025-11-06 17:35:48 +02:00
Jukka Seppänen
d3f33a9f09
Update readme.md
2025-11-06 16:38:46 +02:00
kijai
d0ef3b5601
Update readme.md
2025-11-06 16:37:50 +02:00
kijai
475f96aede
Fix accidental positional arg
2025-11-04 20:53:46 +02:00
kijai
1d0516a2a9
Avoid graph break for LongCat
2025-11-04 10:26:37 +02:00
kijai
8002d8a2f9
This still needed for some reason too
2025-11-04 09:58:40 +02:00
kijai
9a588a42ec
Fix some precision issues with unmerged lora
2025-11-04 09:47:38 +02:00
kijai
509d6922f5
Update custom_linear.py
2025-11-04 09:44:07 +02:00
kijai
9fa4140159
Make lora torch.compile optional for unmerged lora application
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This change has caused issues especially with LoRAs that have dynamic rank. Will now be disabled by default, to allow full graph with unmerged LoRAs the option to allow compile is available in the Torch Compile Settings -node
2025-11-04 01:34:51 +02:00
kijai
8ce6916d72
Fix for some cases of using comfy_chunked rope
2025-11-03 10:36:55 +02:00
kijai
0d0d28569a
Fix cases where text encoder isn't used (eg. Minimax remover)
2025-11-03 10:29:10 +02:00
kijai
75109fdb79
Fix custom sigmas with euler
2025-11-03 10:12:05 +02:00
kijai
5eae7087fa
Fix for S2V
2025-11-02 01:24:50 +02:00
kijai
393fe78ec2
Update model.py
2025-10-31 23:39:55 +02:00
kijai
5f4020b12d
Fix a possible issue with Ovi audio model loading
2025-10-31 17:24:24 +02:00
kijai
5da8a6b169
Fix MultiTalk on some models
2025-10-31 16:50:00 +02:00
kijai
ce6e7b501d
Fix unmerged LoRA application for certain LoRAs
2025-10-30 23:28:38 +02:00
kijai
366f740d28
Update readme.md
2025-10-30 23:10:06 +02:00
Jukka Seppänen
d45fe1ee22
Add note about blocking new accounts from posting issues
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Added a note regarding issue posting restrictions due to bot activity.
2025-10-30 18:19:45 +02:00
kijai
da24890d53
Update pyproject.toml
2025-10-30 17:56:20 +02:00
kijai
95391f403d
Update nodes_sampler.py
2025-10-30 17:55:55 +02:00
kijai
9e0b3afe4e
version checkpoint
2025-10-30 17:53:29 +02:00
kijai
ba1beba982
Create LongCat_TI2V_example_01.json
2025-10-30 17:51:52 +02:00
kijai
64c195167b
Update nodes.py
2025-10-30 17:33:42 +02:00
kijai
cc9bf1e4f5
Store lora diffs in buffers for GGUF as well
2025-10-30 16:44:03 +02:00
kijai
a64f115d35
Fix to previous
2025-10-29 11:06:38 +02:00
kijai
e45f6f2fc4
Allow WanVideoScheduler -node to work with the looping samplers
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Was broken for Multitalk/WanAnimate/S2V
2025-10-29 10:41:33 +02:00
kijai
1cd8df5c00
Update custom_linear.py
2025-10-29 02:50:11 +02:00
kijai
d2614a9a49
Merge branch 'main' into longcat
2025-10-29 02:33:37 +02:00
kijai
083a8458c4
Register lora diffs as buffers to allow them to work with block swap
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unmerged loras (non GGUF for now) will now be moved with block swap instead of always loaded from cpu to reduce device transfers and allow torch compile full graph
2025-10-29 02:33:26 +02:00
kijai
1c2f17e8d7
Add utility node to split sampler from settings
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For cleaner previews
2025-10-29 02:24:24 +02:00
kijai
9d45b9f0de
Use comfy core Conv3D workaround for VAE rather than the fp32 cast
2025-10-29 02:23:49 +02:00
Jukka Seppänen
833c6f50c7
Merge pull request #1581 from chengzeyi/fix-ref-conv-dtype-mismatch
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Fix dtype mismatch in ref_conv forward pass
2025-10-28 14:27:43 +02:00
kijai
eebbcd5ee0
Update model.py
2025-10-28 02:04:50 +02:00
kijai
2633119505
Update custom_linear.py
2025-10-28 01:55:25 +02:00
kijai
90908df260
Update model.py
2025-10-28 01:54:42 +02:00
kijai
c80a488f70
Use fp32 norms for other models too and other fixes
2025-10-28 01:52:48 +02:00
kijai
e69e068b57
Update gguf.py
2025-10-27 21:02:59 +02:00
kijai
54c45500b0
Apply lora diffs with unmerged loras too
2025-10-27 21:01:45 +02:00
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
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
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
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
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
55463a6290
Fix audio_cfg_scale
2025-10-17 18:12:54 +03:00
kijai
6aa0446706
Ovi: fix decoded output audio shape
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I don't know how it ever worked with any nodes... but now it should work with all audio nodes.
2025-10-16 18:03:42 +03:00
kijai
848ceb2beb
Don't require whole facexlib for lynx
2025-10-16 17:51:21 +03:00
kijai
cc06d71ca0
Workaround for bug in pytorch 2.9.0 that makes the VAE use crazy amounts of VRAM
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This is probably caused by:
https://github.com/pytorch/pytorch/pull/164027/files
That disables cudnn when using half precision VAE, this workaround simply uses fp32 for the Conv3D operations.
2025-10-16 17:10:05 +03:00
kijai
e221fdd7ac
Fix normal tiny vae
2025-10-16 14:54:00 +03:00
kijai
c876108059
Update fp8_e4m3fn compile warning on older arch to indicate it should now work with latest Triton
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https://github.com/woct0rdho/triton-windows/releases/tag/v3.5.0-windows.post21
2025-10-16 13:08:42 +03:00
kijai
9cae986648
Fix for HuMo/Phantom when using cfg
2025-10-16 13:01:21 +03:00
kijai
d2ce150490
Update nodes_sampler.py
2025-10-16 10:49:54 +03:00
kijai
50483a3b54
FlashVSR tweaks
2025-10-16 00:42:33 +03:00
kijai
367c612ddb
FlashVSR: Better input frame handling
2025-10-15 23:58:32 +03:00
kijai
9a88b9e40a
FlashVSR: Add strength setting
2025-10-15 19:11:41 +03:00
kijai
2fd5bb6ffa
Basic context window support for FlashVSR
2025-10-15 18:45:42 +03:00
kijai
bb75cddd60
Add minimal FlashVSR upscale support
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https://zhuang2002.github.io/FlashVSR/
This only implements the projection model and the VAE, which seems to be enough for upscaling. This does NOT implement any of the streaming and sparse attention code.
2025-10-15 18:24:28 +03:00
kijai
3d42bf62ce
Relocate Ovi example
2025-10-14 00:17:47 +03:00
kijai
da43a51683
Unmerged lora application tweak
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Should resolve some issues when using same model with multiple sampler and different loras
2025-10-13 20:18:43 +03:00
kijai
139bdf827f
Squashed commit of the following:
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commit 73dd1a06d33953912f5dd684f168028b14e42a36
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Mon Oct 13 19:47:38 2025 +0300
cleanup
commit 39bc2cecf493e2eb176b55e8841d933f0da1ec39
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Mon Oct 13 19:24:20 2025 +0300
Allow scheduling ovi cfg
commit 2c153c5f324dbd59670ad9c51a7995459504a3cd
Merge: dba7667 32eb6b4
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Mon Oct 13 17:48:20 2025 +0300
Merge branch 'main' into ovi
commit dba76674c71af7bf94c82834a0b0e40d94043c99
Merge: 0f11a43 5a0456e
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Sun Oct 12 22:45:43 2025 +0300
Merge branch 'main' into ovi
commit 0f11a439622799ad8070f8a2b8cc8e6a041b761d
Merge: 0999f50 e2d8c9b
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Sat Oct 11 07:48:06 2025 +0300
Merge branch 'main' into ovi
commit 0999f50cfe025290cd7ce88a8dd1acff0b38d9bd
Merge: d45df1f f1d1c83
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Fri Oct 10 22:16:09 2025 +0300
Merge branch 'main' into ovi
commit d45df1fb5b7c629b15eabc197357d62bdc232aaf
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Thu Oct 9 20:21:37 2025 +0300
Remove dependency for librosa
commit d8e7533fdf7eab1d2489c3e025a908c02d997444
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Thu Oct 9 19:57:28 2025 +0300
Remove omegaconf dependency
commit f4e27ff018e98cb5b09655dceda399baea36b240
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Thu Oct 9 19:31:06 2025 +0300
Fix VACE
commit 35d3df39294831e5e7568b6f7e16d2ecf2d790a0
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Thu Oct 9 00:26:40 2025 +0300
small update
commit 96f8ea1d26869ab7e49e12a07f19d5d5a2023253
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 22:32:57 2025 +0300
Create wanvideo_2_2_5B_ovi_testing.json
commit a2511be73b9da7019fd21aeb0b521af941c09150
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 22:32:54 2025 +0300
Update nodes_sampler.py
commit d3688b8db71452ea1f7c9a2bc0216441d524e56c
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 21:43:02 2025 +0300
Allow EasyCache to work with ovi
commit 586d9148a0306ef5d30e9a971a9c3be4cd3ecc97
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 19:09:06 2025 +0300
Update model.py
commit 61eedd2839decdb7d4c2ddd5f1310fdaf49d36ad
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 19:09:02 2025 +0300
I2V fix
commit a97fcb1b9ae9fb7bbfdf668c24816e014a1b58d1
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 17:57:28 2025 +0300
Add nodes to set audio latent size
commit d41e42a697f3d561dabbc22566f633b5f1bbd952
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 16:42:04 2025 +0300
Support loading mmaudio vae from .safetensors
commit 1b0e28ec41e3c97fe1f2f057fef9b9bbcb87bca7
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 16:19:53 2025 +0300
Update nodes_sampler.py
commit fbd18f45fe85ede8edcb5aebaea7ceb5b6eab5a2
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 10:16:44 2025 +0300
Fixes for other workflows
commit b06993b637198f7fad92208f3b3dc9a7d7f57c7f
Author: kijai <40791699+kijai@users.noreply.github.com >
Date: Wed Oct 8 09:46:27 2025 +0300
initial commit
T2V works
2025-10-13 20:16:53 +03:00
kijai
32eb6b480d
Allow canceling mid step
2025-10-13 17:47:28 +03:00