chaObserv
44f8598521
Fix anima LLM adapter forward when manual cast ( #12504 )
2026-02-17 07:56:44 -08:00
comfyanonymous
fe52843fe5
ComfyUI v0.14.0
2026-02-17 00:39:54 -05:00
comfyanonymous
c39653163d
Fix anima preprocess text embeds not using right inference dtype. ( #12501 )
2026-02-17 00:29:20 -05:00
comfyanonymous
18927538a1
Implement NAG on all the models based on the Flux code. ( #12500 )
...
Use the Normalized Attention Guidance node.
Flux, Flux2, Klein, Chroma, Chroma radiance, Hunyuan Video, etc..
2026-02-16 23:30:34 -05:00
Jedrzej Kosinski
8a6fbc2dc2
Allow control_after_generate to be type ControlAfterGenerate in v3 schema ( #12187 )
2026-02-16 22:20:21 -05:00
Alex Butler
b44fc4c589
add venv* to gitignore ( #12431 )
2026-02-16 22:16:19 -05:00
comfyanonymous
4454fab7f0
Remove code to support RMSNorm on old pytorch. ( #12499 )
2026-02-16 20:09:24 -05:00
ComfyUI Wiki
1978f59ffd
chore: update workflow templates to v0.8.42 ( #12491 )
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2026-02-16 17:33:43 -05:00
comfyanonymous
88e6370527
Remove workaround for old pytorch. ( #12480 )
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2026-02-15 20:43:53 -05:00
rattus
c0370044cd
MPDynamic: force load flux img_in weight (Fixes flux1 canny+depth lora crash) ( #12446 )
...
* lora: add weight shape calculations.
This lets the loader know if a lora will change the shape of a weight
so it can take appropriate action.
* MPDynamic: force load flux img_in weight
This weight is a bit special, in that the lora changes its geometry.
This is rather unique, not handled by existing estimate and doesn't
work for either offloading or dynamic_vram.
Fix for dynamic_vram as a special case. Ideally we can fully precalculate
these lora geometry changes at load time, but just get these models
working first.
2026-02-15 20:30:09 -05:00
rattus
ecd2a19661
Fix lora Extraction in offload conditions (+ dynamic_vram mode) ( #12479 )
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* lora_extract: Add a trange
If you bite off more than your GPU can chew, this kinda just hangs.
Give a rough indication of progress counting the weights in a trange.
* lora_extract: Support on-the-fly patching
Use the on-the-fly approach from the regular model saving logic for
lora extraction too. Switch off force_cast_weights accordingly.
This gets extraction working in dynamic vram while also supporting
extraction on GPU offloaded.
2026-02-15 20:28:51 -05:00
Alexander Piskun
2c1d06a4e3
feat(api-nodes): add Bria RMBG nodes ( #12465 )
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Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
2026-02-15 17:22:30 -08:00
Alexander Piskun
e2c71ceb00
feat(api-nodes-Tencent): add ModelTo3DUV, 3DTextureEdit, 3DParts nodes ( #12428 )
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* feat(api-nodes-Tencent): add ModelTo3DUV, 3DTextureEdit, 3DParts nodes
* add image output to TencentModelTo3DUV node
* commented out two nodes
* added rate_limit check to other hunyuan3d nodes
2026-02-15 05:33:18 -08:00
Jedrzej Kosinski
596ed68691
Node Replacement API ( #12014 )
2026-02-15 02:12:30 -08:00
Alexander Piskun
ce4a1ab48d
chore(api-nodes): remove "gpt-4o" model ( #12467 )
2026-02-15 01:31:59 -08:00
comfyanonymous
e1ede29d82
Remove unsafe pickle loading code that was used on pytorch older than 2.4 ( #12473 )
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2026-02-14 22:53:52 -05:00
Christian Byrne
df1e5e8514
Update frontend package to 1.38.14 ( #12469 )
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2026-02-14 11:01:10 -08:00
krigeta
dc9822b7df
Add working Qwen 2512 ControlNet (Fun ControlNet) support ( #12359 )
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2026-02-13 22:23:52 -05:00
comfyanonymous
712efb466b
Add left padding to LTXAV text encoder. ( #12456 )
2026-02-13 21:56:54 -05:00
comfyanonymous
726af73867
Fix some custom nodes. ( #12455 )
2026-02-13 20:21:10 -05:00
comfyanonymous
831351a29e
Support generating attention masks for left padded text encoders. ( #12454 )
2026-02-13 20:15:23 -05:00
comfyanonymous
e1add563f9
Use torch RMSNorm for flux models and refactor hunyuan video code. ( #12432 )
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2026-02-13 15:35:13 -05:00
rattus
8902907d7a
dynamic_vram: Training fixes ( #12442 )
2026-02-13 15:29:37 -05:00
comfyanonymous
e03fe8b591
Update command to install AMD stable linux pytorch. ( #12437 )
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2026-02-12 23:29:12 -05:00
rattus
ae79e33345
llama: use a more efficient rope implementation ( #12434 )
...
Get rid of the cat and unary negation and inplace add-cmul the two
halves of the rope. Precompute -sin once at the start of the model
rather than every transformer block.
This is slightly faster on both GPU and CPU bound setups.
2026-02-12 19:56:42 -05:00
rattus
117e214354
ModelPatcherDynamic: force load non leaf weights ( #12433 )
...
The current behaviour of the default ModelPatcher is to .to a model
only if its fully loaded, which is how random non-leaf weights get
loaded in non-LowVRAM conditions.
The however means they never get loaded in dynamic_vram. In the
dynamic_vram case, force load them to the GPU.
2026-02-12 19:51:50 -05:00
Alexander Piskun
4a93a62371
fix(api-nodes): add separate retry budget for 429 rate limit responses ( #12421 )
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2026-02-12 01:38:51 -08:00
comfyanonymous
66c18522fb
Add a tip for common error. ( #12414 )
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2026-02-11 22:12:16 -05:00
askmyteapot
e5ae670a40
Update ace15.py to allow min_p sampling ( #12373 )
2026-02-11 20:28:48 -05:00
rattus
3fe61cedda
model_patcher: guard against none model_dtype ( #12410 )
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Handle the case where the _model_dtype exists but is none with the
intended fallback.
2026-02-11 14:54:02 -05:00
rattus
2a4328d639
ace15: Use dynamic_vram friendly trange ( #12409 )
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Factor out the ksampler trange and use it in ACE LLM to prevent the
silent stall at 0 and rate distortion due to first-step model load.
2026-02-11 14:53:42 -05:00
rattus
d297a749a2
dynamic_vram: Fix windows Aimdo crash + Fix LLM performance ( #12408 )
...
* model_management: lazy-cache aimdo_tensor
These tensors cosntructed from aimdo-allocations are CPU expensive to
make on the pytorch side. Add a cache version that will be valid with
signature match to fast path past whatever torch is doing.
* dynamic_vram: Minimize fast path CPU work
Move as much as possible inside the not resident if block and cache
the formed weight and bias rather than the flat intermediates. In
extreme layer weight rates this adds up.
2026-02-11 14:50:16 -05:00
Alexander Piskun
2b7cc7e3b6
[API Nodes] enable Magnific Upscalers ( #12179 )
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* feat(api-nodes): enable Magnific Upscalers
* update price badges
---------
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
2026-02-11 11:30:19 -08:00
Benjamin Lu
4993411fd9
Dispatch desktop auto-bump when a ComfyUI release is published ( #12398 )
...
* Dispatch desktop auto-bump on ComfyUI release publish
* Fix release webhook secret checks in step conditions
* Require desktop dispatch token in release webhook
* Apply suggestion from @Copilot
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---------
Co-authored-by: Luke Mino-Altherr <lminoaltherr@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
2026-02-11 11:15:13 -08:00
Alexander Piskun
2c7cef4a23
fix(api-nodes): retry on connection errors during polling instead of aborting ( #12393 )
2026-02-11 10:51:49 -08:00
comfyanonymous
76a7fa96db
Make built in lora training work on anima. ( #12402 )
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2026-02-10 22:04:32 -05:00
Kohaku-Blueleaf
cdcf4119b3
[Trainer] training with proper offloading ( #12189 )
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* Fix bypass dtype/device moving
* Force offloading mode for training
* training context var
* offloading implementation in training node
* fix wrong input type
* Support bypass load lora model, correct adapter/offloading handling
2026-02-10 21:45:19 -05:00
AustinMroz
dbe70b6821
Add a VideoSlice node ( #12107 )
...
* Base TrimVideo implementation
* Raise error if as_trimmed call fails
* Bigger max start_time, tooltips, and formatting
* Count packets unless codec has subframes
* Remove incorrect nested decode
* Add null check for audio streams
* Support non-strict duration
* Added strict_duration bool to node definition
* Empty commit for approval
* Fix duration
* Support 5.1 audio layout on save
---------
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
2026-02-10 14:42:21 -08:00
guill
00fff6019e
feat(jobs): add 3d to PREVIEWABLE_MEDIA_TYPES for first-class 3D output support ( #12381 )
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Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
2026-02-10 14:37:14 -08:00
rattus
123a7874a9
ops: Fix vanilla-fp8 loaded lora quality ( #12390 )
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This was missing the stochastic rounding required for fp8 downcast
to be consistent with model_patcher.patch_weight_to_device.
Missed in testing as I spend too much time with quantized tensors
and overlooked the simpler ones.
2026-02-10 13:38:28 -05:00
rattus
f719f9c062
sd: delay VAE dtype archive until after override ( #12388 )
...
VAEs have host specific dtype logic that should override the dynamic
_model_dtype. Defer the archiving of model dtypes until after.
2026-02-10 13:37:46 -05:00
rattus
fe053ba5eb
mp: dont deep-clone objects from model_options ( #12382 )
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If there are non-trivial python objects nested in the model_options, this
causes all sorts of issues. Traverse lists and dicts so clones can safely
overide settings and BYO objects but stop there on the deepclone.
2026-02-10 13:37:17 -05:00
comfyanonymous
6648ab68bc
ComfyUI v0.13.0
2026-02-10 13:26:29 -05:00
ComfyUI Wiki
6615db925c
chore: update workflow templates to v0.8.38 ( #12394 )
2026-02-10 13:24:56 -05:00
Alexander Piskun
8ca842a8ed
feat(api-nodes-Kling): add new models (V3, O3) ( #12389 )
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* feat(api-nodes-Kling): add new models (V3, O3)
* remove storyboard from VideoToVideo node
* added check for total duration of storyboards
* fixed other small things
* updated display name for nodes
* added "fake" seed
2026-02-10 09:34:54 -08:00
Alexander Piskun
c1b63a7e78
fix(Moonvalley-API-Nodes): adjust "steps" parameter to not raise exception ( #12370 )
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2026-02-09 21:58:27 -05:00
ComfyUI Wiki
349a636a2b
chore: update workflow templates to v0.8.37 ( #12377 )
2026-02-09 21:25:34 -05:00
comfyanonymous
a4be04c5d7
Ace step prompts match now. ( #12376 )
2026-02-09 19:45:56 -05:00
blepping
baf8c87455
Iimprovements to ACE-Steps 1.5 text encoding (part 2) ( #12350 )
2026-02-09 19:41:49 -05:00
rattus
62315fbb15
Dynamic VRAM fixes - Ace 1.5 performance + a VRAM leak ( #12368 )
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* revert threaded model loader change
This change was only needed to get around the pytorch 2.7 mempool bugs,
and should have been reverted along with #12260 . This fixes a different
memory leak where pytorch gets confused about cache emptying.
* load non comfy weights
* MPDynamic: Pre-generate the tensors for vbars
Apparently this is an expensive operation that slows down things.
* bump to aimdo 1.8
New features:
watermark limit feature
logging enhancements
-O2 build on linux
2026-02-09 16:16:08 -05:00
