nodes/kijai-ComfyUI-WanVideoWrapper
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Author SHA1 Message Date
kijai f872460285 Fix TTM for dual sampler setups 2025-11-16 19:23:19 +02:00
kijai b826642a83 Add TTM support (Time To Move) 
https://github.com/time-to-move/TTM
 2025-11-16 17:52:49 +02:00
jamesjjcondon aa9f474958 Refactor data_mean and data_std initialization 
Refactor data_mean and data_std to use register_buffer and remove nn.Buffer.

Tested with pytorch version: 2.4.0+cu121
xformers version: 0.0.27.post2
Set vram state to: LOW_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3090 : cudaMallocAsync
Enabled pinned memory 122281.0
Using xformers attention
Python version: 3.10.12 (main, Aug 15 2025, 14:32:43) [GCC 11.4.0]
ComfyUI version: 0.3.68
ComfyUI frontend version: 1.28.8
 2025-11-14 11:57:26 +10:30
kijai e3c2a1431b Squashed commit of the following: 
commit f685ee33ac
Merge: bb5707f 4e31081
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Nov 13 16:37:38 2025 +0200

    Merge branch 'main' into bindweave

commit bb5707f601
Merge: acb662b ff26836
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Tue Nov 11 18:53:19 2025 +0200

    Merge branch 'main' into bindweave

commit acb662b5af
Merge: 907c9e1 e926f7a
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Tue Nov 11 11:44:26 2025 +0200

    Merge branch 'main' into bindweave

commit 907c9e1cdd
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Mon Nov 10 21:02:58 2025 +0200

    Update nodes.py

commit e4a4d22537
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Sat Nov 8 16:04:55 2025 +0200

    Update nodes_sampler.py

commit a3b2f67337
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Sat Nov 8 16:03:00 2025 +0200

    Pad clip vision embeds like in original code

commit 1e00c8fb28
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Sat Nov 8 12:21:11 2025 +0200

    Update nodes.py

commit ff16dce5c0
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Fri Nov 7 01:15:13 2025 +0200

    Update nodes_sampler.py

commit f972b31bf2
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Fri Nov 7 01:09:22 2025 +0200

    Update nodes.py

commit 3dacd6a719
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Fri Nov 7 00:45:06 2025 +0200

    Update nodes_sampler.py

commit 7bf99791ad
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Fri Nov 7 00:44:13 2025 +0200

    Update nodes.py

commit 7a5587b5af
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Fri Nov 7 00:39:10 2025 +0200

    Let the user resize for QwenVL

    Seems to need smaller resolutions

commit d6cf172846
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Nov 6 23:41:24 2025 +0200

    Update nodes.py

commit cf86f4f0a4
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Nov 6 21:01:03 2025 +0200

    Update model.py

commit b1f8309a20
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Nov 6 19:55:54 2025 +0200

    Update nodes_model_loading.py

commit 8992c6af64
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Nov 6 19:22:56 2025 +0200

    Don't include padding for scheduler

commit e4084a961b
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Nov 6 18:32:53 2025 +0200

    Update nodes.py

commit 3ec1edefbe
Author: kijai <40791699+kijai@users.noreply.github.com>
Date:   Thu Nov 6 17:35:48 2025 +0200

    init

    For testing, no idea if it works yet
 2025-11-13 17:10:57 +02:00
kijai 4e31081262 Better errors when trying to load models that don't exist 2025-11-13 16:19:05 +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 
Had rather bad bug here which made Ovi audio always use the video negative prompt...
 2025-11-11 17:47:33 +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 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 
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
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 
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 
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 
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 
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 
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 
Fix dtype mismatch in ref_conv forward pass
 2025-10-28 14:27:43 +02:00
chengzeyiandClaude d15cf3001f Fix dtype mismatch in ref_conv forward pass 
This commit fixes a RuntimeError that occurs when using Fun-Control
reference images: "Input type (float) and bias type (c10::Half)
should be the same"

Root cause:
- Commit 1ba1a16 changed the dtype handling strategy to convert
  the main latent `x` to `base_dtype` instead of converting
  embeddings to match `x.dtype`
- This caused `fun_ref` input to be in a different dtype than
  the `ref_conv` layer's weights and bias
- Line 2324 already handles this correctly for `attn_cond` by
  converting to `self.attn_conv_in.weight.dtype`

Solution:
- Convert `fun_ref` to match `self.ref_conv.weight.dtype` before
  passing through the convolution layer
- This follows the same pattern used for `attn_cond` on line 2324

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-28 12:08:23 +00:00
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