kijai
f685ee33ac
Merge branch 'main' into bindweave
2025-11-13 16:37:38 +02:00
kijai
4e31081262
Better errors when trying to load models that don't exist
2025-11-13 16:19:05 +02:00
kijai
bb5707f601
Merge branch 'main' into bindweave
2025-11-11 18:53:19 +02:00
kijai
ff26836cab
Create wanvideo_2_2_5B_Ovi_image_to_video_audio_10_seconds_example_01.json
2025-11-11 18:53:11 +02:00
kijai
22037243ab
Fix Ovi audio negative prompt
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Had rather bad bug here which made Ovi audio always use the video negative prompt...
2025-11-11 17:47:33 +02:00
kijai
acb662b5af
Merge branch 'main' into bindweave
2025-11-11 11:44:26 +02:00
kijai
e926f7a069
version bump 1.3.9
2025-11-11 10:57:46 +02:00
kijai
e01e34da1f
Update nodes_model_loading.py
2025-11-11 10:01:06 +02:00
kijai
47514f678d
Allow loading original Ovi -models
2025-11-11 09:46:13 +02:00
kijai
907c9e1cdd
Update nodes.py
2025-11-10 21:02:58 +02:00
kijai
de3c9c895a
Create wanvideo_1_3B_UniLumos_relight_example_01.json
2025-11-10 19:41:22 +02:00
kijai
4576ddb35e
Add node to create input for UniLumos
2025-11-10 19:41:19 +02:00
kijai
68392684b5
Add node to use UniLumos
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Simply allows fore and background latent inputs for UniLumos relight model, example inputs seem to work: https://github.com/alibaba-damo-academy/Lumos-Custom/tree/main/UniLumos/UniLumos/examples
2025-11-10 19:06:45 +02:00
kijai
e4a4d22537
Update nodes_sampler.py
2025-11-08 16:04:55 +02:00
kijai
a3b2f67337
Pad clip vision embeds like in original code
2025-11-08 16:03:00 +02:00
kijai
1e00c8fb28
Update nodes.py
2025-11-08 12:21:11 +02:00
kijai
ff16dce5c0
Update nodes_sampler.py
2025-11-07 01:15:13 +02:00
kijai
f972b31bf2
Update nodes.py
2025-11-07 01:09:22 +02:00
kijai
3dacd6a719
Update nodes_sampler.py
2025-11-07 00:45:06 +02:00
kijai
7bf99791ad
Update nodes.py
2025-11-07 00:44:13 +02:00
kijai
7a5587b5af
Let the user resize for QwenVL
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Seems to need smaller resolutions
2025-11-07 00:39:10 +02:00
kijai
d6cf172846
Update nodes.py
2025-11-06 23:41:24 +02:00
kijai
cf86f4f0a4
Update model.py
2025-11-06 21:01:03 +02:00
kijai
b1f8309a20
Update nodes_model_loading.py
2025-11-06 19:55:54 +02:00
kijai
8992c6af64
Don't include padding for scheduler
2025-11-06 19:22:56 +02:00
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