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
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
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 )
...
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 )
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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
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
comfyanonymous
039955c527
Some fixes to previous pr. ( #12339 )
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2026-02-06 20:14:52 -05:00
tdrussell
6a26328842
Support fp16 for Cosmos-Predict2 and Anima ( #12249 )
2026-02-06 20:12:15 -05:00
comfyanonymous
204e65b8dc
Fix bug with last pr ( #12338 )
2026-02-06 19:48:20 -05:00
asagi4
a831c19b70
Fix return_word_ids=True with Anima tokenizer ( #12328 )
2026-02-06 19:38:04 -05:00
comfyanonymous
eba6c940fd
Make ace step 1.5 base model work properly with default workflow. ( #12337 )
2026-02-06 19:14:56 -05:00
comfyanonymous
c2d7f07dbf
Fix issue when using disable_unet_model_creation ( #12315 )
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2026-02-05 19:24:09 -05:00
comfyanonymous
458292fef0
Fix some lowvram stuff with ace step 1.5 ( #12312 )
2026-02-05 19:15:04 -05:00
comfyanonymous
6555dc65b8
Make ace step 1.5 work without the llm. ( #12311 )
2026-02-05 16:43:45 -05:00
comfyanonymous
35183543e0
Add VAE tiled decode node for audio. ( #12299 )
2026-02-05 01:12:04 -05:00
blepping
a246cc02b2
Improvements to ACE-Steps 1.5 text encoding ( #12283 )
2026-02-05 00:17:37 -05:00
comfyanonymous
a50c32d63f
Disable sage attention on ace step 1.5 ( #12297 )
2026-02-04 22:15:30 -05:00
comfyanonymous
6125b80979
Add llm sampling options and make reference audio work on ace step 1.5 ( #12295 )
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2026-02-04 21:29:22 -05:00
comfyanonymous
c8fcbd66ee
Try to fix ace text encoder slowness on some configs. ( #12290 )
2026-02-04 19:37:05 -05:00
comfyanonymous
26dd7eb421
Fix ace step nan issue on some hardware/pytorch configs. ( #12289 )
2026-02-04 18:25:06 -05:00
rattus
ef73070ea4
mp: Fix checkpoint saving ( #12268 )
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Fix regression in the recent model saving refactor. Pass the non unet
pieces down the layers so that checkpoints are complete.
2026-02-04 02:08:45 -05:00
rattus
d30c609f5a
utils: safetensors: dont slice data on torch level ( #12266 )
...
Torch has alignment enforcement when viewing with data type changes
but only relative to itself. Do all tensor constructions straight
off the memory-view individually so pytorch doesnt see an alignment
problem.
The is needed for handling misaligned safetensors weights, which are
reasonably common in third party models.
This limits usage of this safetensors loader to GPU compute only
as CPUs kernnel are very likely to bus error. But it works for
dynamic_vram, where we really dont want to take a deep copy and we
always use GPU copy_ which disentangles the misalignment.
2026-02-04 01:48:47 -05:00
comfyanonymous
a31681564d
Fix crash with ace step 1.5 ( #12264 )
2026-02-04 00:03:21 -05:00
rattus
855849c658
mm: Remove Aimdo exemption for empty_cache ( #12260 )
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Its more important to get the torch caching allocator GC up and running
than supporting the pyt2.7 bug. Switch it on.
Defeature dynamic_vram + pyt2.7.
2026-02-03 21:39:19 -05:00
comfyanonymous
fe2511468d
Support the 4B ace step 1.5 lm model. ( #12257 )
...
Can be used as an alternative to the 1.7B
2026-02-03 19:01:38 -05:00
comfyanonymous
b8315e66cb
Fix tiled vae for ace step 1.5 ( #12253 )
2026-02-03 14:40:45 -05:00
comfyanonymous
ab1050bec3
Support ace step 1.5 base model loras. ( #12252 )
2026-02-03 13:54:23 -05:00
comfyanonymous
85fc35e8fa
Fix mac issue. ( #12250 )
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2026-02-03 12:19:39 -05:00
comfyanonymous
223364743c
llama: cast logits as a comfy-weight ( #12248 )
...
This is using a different layers weight with .to(). Change it to use
the ops caster if the original layer is a comfy weight so that it picks
up dynamic_vram and async_offload functionality in full.
Co-authored-by: Rattus <rattus128@gmail.com>
2026-02-03 11:31:36 -05:00
comfyanonymous
affe881354
Fix some issues with mac. ( #12247 )
2026-02-03 11:07:04 -05:00
comfyanonymous
f5030e26fd
Add progress bar to ace step. ( #12242 )
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2026-02-03 04:09:30 -05:00
comfyanonymous
3c1a1a2df8
Basic support for the ace step 1.5 model. ( #12237 )
2026-02-03 00:06:18 -05:00
comfyanonymous
c05a08ae66
Add back function. ( #12234 )
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2026-02-02 19:52:07 -05:00
rattus
de9ada6a41
Dynamic VRAM unloading fix ( #12227 )
...
* mp: fix full dynamic unloading
This was not unloading dynamic models when requesting a full unload via
the unpatch() code path.
This was ok, i your workflow was all dynamic models but fails with big
VRAM leaks if you need to fully unload something for a regular ModelPatcher
It also fices the "unload models" button.
* mm: load models outside of Aimdo Mempool
In dynamic_vram mode, escape the Aimdo mempool and load into the regular
mempool. Use a dummy thread to do it.
2026-02-02 17:35:20 -05:00
