vickytsang
35e9fce775
Enable Pytorch Attention for gfx950 ( #12641 )
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2026-02-26 20:16:12 -05:00
Jukka Seppänen
c7f7d52b68
feat: Support SDPose-OOD ( #12661 )
2026-02-26 19:59:05 -05:00
fappaz
b233dbe0bc
feat(ace-step): add ACE-Step 1.5 lycoris key alias mapping for LoKR #12638 ( #12665 )
2026-02-26 18:19:19 -05:00
comfyanonymous
8a4d85c708
Cleanups to the last PR. ( #12646 )
2026-02-26 01:30:31 -05:00
Tavi Halperin
a4522017c5
feat: per-guide attention strength control in self-attention ( #12518 )
...
Implements per-guide attention attenuation via log-space additive bias
in self-attention. Each guide reference tracks its own strength and
optional spatial mask in conditioning metadata (guide_attention_entries).
2026-02-26 01:25:23 -05:00
Jukka Seppänen
907e5dcbbf
initial FlowRVS support ( #12637 )
2026-02-25 23:38:46 -05:00
comfyanonymous
7253531670
Fix ltxav te mem estimation. ( #12643 )
2026-02-25 23:13:47 -05:00
comfyanonymous
e14b04478c
Fix LTXAV text enc min length. ( #12640 )
...
Should have been 1024 instead of 512
2026-02-25 22:36:02 -05:00
rattus
4f5b7dbf1f
Fix Aimdo fallback on probe to not use zero-copy sft ( #12634 )
...
* utils: dont use comfy sft loader in aimdo fallback
This was going to the raw command line switch and should respect main.py
probe of whether aimdo actually loaded successfully.
* ops: dont use deferred linear load in Aimdo fallback
Avoid changes of behaviour on --fast dynamic_vram when aimdo doesnt work.
2026-02-25 16:49:48 -05:00
rattus
3ebe1ac22e
Disable dynamic_vram when using torch compiler ( #12612 )
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* mp: attach re-construction arguments to model patcher
When making a model-patcher from a unet or ckpt, attach a callable
function that can be called to replay the model construction. This
can be used to deep clone model patcher WRT the actual model.
Originally written by Kosinkadink
f4b99bc623
2026-02-24 19:13:46 -05:00
comfyanonymous
599f9c5010
Don't crash right away if op is uninitialized. ( #12615 )
2026-02-24 12:28:25 -05:00
comfyanonymous
84aba95e03
Temporality unbreak some LTXAV workflows to give people time to migrate. ( #12605 )
2026-02-24 00:50:03 -05:00
comfyanonymous
caa43d2395
Fix issue loading fp8 ltxav checkpoints. ( #12582 )
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2026-02-22 16:00:02 -05:00
comfyanonymous
07ca6852e8
Fix dtype issue in embeddings connector. ( #12570 )
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2026-02-22 03:18:20 -05:00
comfyanonymous
f266b8d352
Move LTXAV av embedding connectors to diffusion model. ( #12569 )
2026-02-21 22:29:58 -05:00
rattus
0bfb936ab4
comfy-aimdo 0.2 - Improved pytorch allocator integration ( #12557 )
...
Integrate comfy-aimdo 0.2 which takes a different approach to
installing the memory allocator hook. Instead of using the complicated
and buggy pytorch MemPool+CudaPluggableAlloctor, cuda is directly hooked
making the process much more transparent to both comfy and pytorch. As
far as pytorch knows, aimdo doesnt exist anymore, and just operates
behind the scenes.
Remove all the mempool setup stuff for dynamic_vram and bump the
comfy-aimdo version. Remove the allocator object from memory_management
and demote its use as an enablment check to a boolean flag.
Comfy-aimdo 0.2 also support the pytorch cuda async allocator, so
remove the dynamic_vram based force disablement of cuda_malloc and
just go back to the old settings of allocators based on command line
input.
2026-02-21 10:52:57 -08:00
Terry Jia
f394af8d0f
feat: add gradient-slider display mode for FLOAT inputs ( #12536 )
...
* feat: add gradient-slider display mode for FLOAT inputs
* fix: use precise type annotation list[list[float]] for gradient_stops
Amp-Thread-ID: https://ampcode.com/threads/T-019c7eea-be2b-72ce-a51f-838376f9b7a7
---------
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>
Co-authored-by: bymyself <cbyrne@comfy.org>
2026-02-20 22:52:32 -08:00
comfyanonymous
5f2117528a
Force min length 1 when tokenizing for text generation. ( #12538 )
2026-02-19 22:57:44 -05:00
comfyanonymous
0301ccf745
Small cleanup and try to get qwen 3 work with the text gen. ( #12537 )
2026-02-19 22:42:28 -05:00
Jukka Seppänen
6d11cc7354
feat: Add basic text generation support with native models, initially supporting Gemma3 ( #12392 )
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2026-02-18 20:49:43 -05:00
rattus
58dcc97dcf
ops: limit return of requants ( #12506 )
...
This check was far too broad and the dtype is not a reliable indicator
of wanting the requant (as QT returns the compute dtype as the dtype).
So explictly plumb whether fp8mm wants the requant or not.
2026-02-17 15:32:27 -05:00
chaObserv
44f8598521
Fix anima LLM adapter forward when manual cast ( #12504 )
2026-02-17 07:56:44 -08:00
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
comfyanonymous
4454fab7f0
Remove code to support RMSNorm on old pytorch. ( #12499 )
2026-02-16 20:09:24 -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
comfyanonymous
e1ede29d82
Remove unsafe pickle loading code that was used on pytorch older than 2.4 ( #12473 )
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ComfyUI hasn't started on pytorch 2.4 since last month.
2026-02-14 22:53:52 -05:00
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 )
2026-02-13 15:35:13 -05:00
rattus
8902907d7a
dynamic_vram: Training fixes ( #12442 )
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2026-02-13 15:29:37 -05:00
rattus
ae79e33345
llama: use a more efficient rope implementation ( #12434 )
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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
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 )
...
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 )
...
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
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 )
...
* 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
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 )
...
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
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 )
...
* 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
comfyanonymous
f350a84261
Disable prompt weights for ltxv2. ( #12354 )
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2026-02-07 19:16:28 -05:00
comfyanonymous
17e7df43d1
Pad ace step 1.5 ref audio if not long enough. ( #12341 )
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2026-02-07 00:02:11 -05:00
