comfyanonymous and GitHub
25022e0b09
Cleanup and fix issues with text encoder quants. ( #10872 )
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2025-11-25 01:48:53 -05:00
Haoming and GitHub
b2ef58e2b1
block info ( #10844 )
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Test server launches without errors / test (push) Waiting to run
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2025-11-24 10:40:09 -08:00
Haoming and GitHub
6a6d456c88
block info ( #10842 )
2025-11-24 10:38:38 -08:00
Haoming and GitHub
3d1fdaf9f4
block info ( #10843 )
2025-11-24 10:30:40 -08:00
comfyanonymous and GitHub
cbd68e3d58
Add better error message for common error. ( #10846 )
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Test server launches without errors / test (push) Waiting to run
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Generate Pydantic Stubs from api.comfy.org / generate-models (push) Has been cancelled
2025-11-23 04:55:22 -05:00
comfyanonymous and GitHub
532938b16b
--disable-api-nodes now sets CSP header to force frontend offline. ( #10829 )
2025-11-21 17:51:55 -05:00
943b3b615d
HunyuanVideo 1.5 ( #10819 )
...
* init
* update
* Update model.py
* Update model.py
* remove print
* Fix text encoding
* Prevent empty negative prompt
Really doesn't work otherwise
* fp16 works
* I2V
* Update model_base.py
* Update nodes_hunyuan.py
* Better latent rgb factors
* Use the correct sigclip output...
* Support HunyuanVideo1.5 SR model
* whitespaces...
* Proper latent channel count
* SR model fixes
This also still needs timesteps scheduling based on the noise scale, can be used with two samplers too already
* vae_refiner: roll the convolution through temporal
Work in progress.
Roll the convolution through time using 2-latent-frame chunks and a
FIFO queue for the convolution seams.
* Support HunyuanVideo15 latent resampler
* fix
* Some cleanup
Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com >
* Proper hyvid15 I2V channels
Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com >
* Fix TokenRefiner for fp16
Otherwise x.sum has infs, just in case only casting if input is fp16, I don't know if necessary.
* Bugfix for the HunyuanVideo15 SR model
* vae_refiner: roll the convolution through temporal II
Roll the convolution through time using 2-latent-frame chunks and a
FIFO queue for the convolution seams.
Added support for encoder, lowered to 1 latent frame to save more
VRAM, made work for Hunyuan Image 3.0 (as code shared).
Fixed names, cleaned up code.
* Allow any number of input frames in VAE.
* Better VAE encode mem estimation.
* Lowvram fix.
* Fix hunyuan image 2.1 refiner.
* Fix mistake.
* Name changes.
* Rename.
* Whitespace.
* Fix.
* Fix.
---------
Co-authored-by: kijai <40791699+kijai@users.noreply.github.com >
Co-authored-by: Rattus <rattus128@gmail.com >
2025-11-20 22:44:43 -05:00
comfyanonymous and GitHub
cb96d4d18c
Disable workaround on newer cudnn. ( #10807 )
2025-11-19 23:56:23 -05:00
comfyanonymous and GitHub
17027f2a6a
Add a way to disable the final norm in the llama based TE models. ( #10794 )
2025-11-18 22:36:03 -05:00
comfyanonymous and GitHub
d526974576
Fix hunyuan 3d 2.0 ( #10792 )
2025-11-18 16:46:19 -05:00
doctorpangloss
8108315b93
Fix distributed tracing
2025-11-18 11:04:09 -08:00
comfyanonymous and GitHub
bd01d9f7fd
Add left padding support to tokenizers. ( #10753 )
2025-11-15 06:54:40 -05:00
Benjamin Berman
de3684953d
Revert "Ensure web.Application is instrumented, and ensure the latest aiohttp is installed in containers"
...
This reverts commit fa3eea9a18
2025-11-14 18:16:21 -08:00
doctorpangloss
55fb3a7038
Merge branch 'master' of github.com:hiddenswitch/ComfyUI
2025-11-14 17:46:23 -08:00
doctorpangloss
fa3eea9a18
Ensure web.Application is instrumented, and ensure the latest aiohttp is installed in containers
2025-11-14 17:46:01 -08:00
comfyanonymous and GitHub
443056c401
Fix custom nodes import error. ( #10747 )
...
This should fix the import errors but will break if the custom nodes actually try to use the class.
2025-11-14 03:26:05 -05:00
comfyanonymous and GitHub
f60923590c
Use same code for chroma and flux blocks so that optimizations are shared. ( #10746 )
2025-11-14 01:28:05 -05:00
rattus and GitHub
94c298f962
flux: reduce VRAM usage ( #10737 )
...
Cleanup a bunch of stack tensors on Flux. This take me from B=19 to B=22
for 1600x1600 on RTX5090.
2025-11-13 16:02:03 -08:00
Benjamin Berman
09e4f2d1c4
Fix custom nodes printing unicode in logs on Windows
2025-11-12 21:13:57 -08:00
contentis and GitHub
3b3ef9a77a
Quantized Ops fixes ( #10715 )
...
* offload support, bug fixes, remove mixins
* add readme
2025-11-12 18:26:52 -05:00
rattus and GitHub
1c7eaeca10
qwen: reduce VRAM usage ( #10725 )
...
Clean up a bunch of stacked and no-longer-needed tensors on the QWEN
VRAM peak (currently FFN).
With this I go from OOMing at B=37x1328x1328 to being able to
succesfully run B=47 (RTX5090).
2025-11-12 16:20:53 -05:00
rattus and GitHub
18e7d6dba5
mm/mp: always unload re-used but modified models ( #10724 )
...
The partial unloader path in model re-use flow skips straight to the
actual unload without any check of the patching UUID. This means that
if you do an upscale flow with a model patch on an existing model, it
will not apply your patchings.
Fix by delaying the partial_unload until after the uuid checks. This
is done by making partial_unload a model of partial_load where extra_mem
is -ve.
2025-11-12 16:19:53 -05:00
comfyanonymous and GitHub
1199411747
Don't pin tensor if not a torch.nn.parameter.Parameter ( #10718 )
2025-11-11 19:33:30 -05:00
Benjamin Berman
0d9232f02c
wip python eval nodes
2025-11-10 09:47:27 -08:00
rattus and GitHub
c350009236
ops: Put weight cast on the offload stream ( #10697 )
...
This needs to be on the offload stream. This reproduced a black screen
with low resolution images on a slow bus when using FP8.
2025-11-09 22:52:11 -05:00
comfyanonymous and GitHub
dea899f221
Unload weights if vram usage goes up between runs. ( #10690 )
2025-11-09 18:51:33 -05:00
comfyanonymous and GitHub
e632e5de28
Add logging for model unloading. ( #10692 )
2025-11-09 18:06:39 -05:00
comfyanonymous and GitHub
2abd2b5c20
Make ScaleROPE node work on Flux. ( #10686 )
2025-11-08 15:52:02 -05:00
doctorpangloss
8700c4fadf
wip eval nodes, test tracing with full integration test, fix dockerfile barfing on flash_attn 2.8.3
2025-11-07 16:50:55 -08:00
doctorpangloss
69d8f1b120
Tracing tests
2025-11-07 14:27:31 -08:00
doctorpangloss
2f520a4cb4
Workflow templates constraint
2025-11-07 14:27:25 -08:00
comfyanonymous and GitHub
a1a70362ca
Only unpin tensor if it was pinned by ComfyUI ( #10677 )
2025-11-07 11:15:05 -05:00
rattus and GitHub
cf97b033ee
mm: guard against double pin and unpin explicitly ( #10672 )
...
As commented, if you let cuda be the one to detect double pin/unpinning
it actually creates an asyc GPU error.
2025-11-06 21:20:48 -05:00
doctorpangloss
243f34f282
Improve OpenAPI contract in distributed context, propagating validation and execution errors correctly.
2025-11-06 12:54:35 -08:00
Benjamin Berman
be255c2691
wip align openapi and api methods for error handling
2025-11-06 11:11:46 -08:00
comfyanonymous and GitHub
09dc24c8a9
Pinned mem also seems to work on AMD. ( #10658 )
2025-11-05 19:11:15 -05:00
comfyanonymous and GitHub
1d69245981
Enable pinned memory by default on Nvidia. ( #10656 )
...
Removed the --fast pinned_memory flag.
You can use --disable-pinned-memory to disable it. Please report if it
causes any issues.
2025-11-05 18:08:13 -05:00
comfyanonymous and GitHub
97f198e421
Fix qwen controlnet regression. ( #10657 )
2025-11-05 18:07:35 -05:00
comfyanonymous and GitHub
c4a6b389de
Lower ltxv mem usage to what it was before previous pr. ( #10643 )
...
Bring back qwen behavior to what it was before previous pr.
2025-11-04 22:47:35 -05:00
doctorpangloss
cb97b94ad9
Unclear why this is throwing linting errors
2025-11-04 18:15:54 -08:00
doctorpangloss
98ae55b059
Improvements to compatibility with custom nodes, distributed
...
backends and other changes
- remove uv.lock since it will not be used in most cases for installation
- add cli args to prevent some custom nodes from installing packages at runtime
- temp directories can now be shared between workers without being deleted
- propcache yanked is now in the dependencies
- fix configuration arguments loading in some tests
2025-11-04 17:40:19 -08:00
contentis and GitHub
4cd881866b
Use single apply_rope function across models ( #10547 )
2025-11-04 20:10:11 -05:00
comfyanonymous and GitHub
7f3e4d486c
Limit amount of pinned memory on windows to prevent issues. ( #10638 )
2025-11-04 17:37:50 -05:00
comfyanonymous and GitHub
af4b7b5edb
More fp8 torch.compile regressions fixed. ( #10625 )
2025-11-03 22:14:20 -05:00
comfyanonymous and GitHub
0f4ef3afa0
This seems to slow things down slightly on Linux. ( #10624 )
2025-11-03 21:47:14 -05:00
comfyanonymous and GitHub
6b88478f9f
Bring back fp8 torch compile performance to what it should be. ( #10622 )
2025-11-03 19:22:10 -05:00
comfyanonymous and GitHub
e199c8cc67
Fixes ( #10621 )
2025-11-03 17:58:24 -05:00
comfyanonymous and GitHub
0652cb8e2d
Speed up torch.compile ( #10620 )
2025-11-03 17:37:12 -05:00
comfyanonymous and GitHub
958a17199a
People should update their pytorch versions. ( #10618 )
2025-11-03 17:08:30 -05:00
comfyanonymous and GitHub
97ff9fae7e
Clarify help text for --fast argument ( #10609 )
...
Updated help text for the --fast argument to clarify potential risks.
2025-11-02 13:14:04 -05:00
