comfyanonymous and GitHub
21e8425087
Add warning for old pytorch. ( #11718 )
2026-01-07 21:07:26 -05:00
rattus and GitHub
b6c79a648a
ops: Fix offloading with FP8MM performance ( #11697 )
...
This logic was checking comfy_cast_weights, and going straight to
to the forward_comfy_cast_weights implementation without
attempting to downscale input to fp8 in the event comfy_cast_weights
is set.
The main reason comfy_cast_weights would be set would be for async
offload, which is not a good reason to nix FP8MM.
So instead, and together the underlying exclusions for FP8MM which
are:
* having a weight_function (usually LowVramPatch)
* force_cast_weights (compute dtype override)
* the weight is not Quantized
* the input is already quantized
* the model or layer has MM explictily disabled.
If you get past all of those exclusions, quantize the input tensor.
Then hand the new input, quantized or not off to
forward_comfy_cast_weights to handle it. If the weight is offloaded
but input is quantized you will get an offloaded MM8.
2026-01-07 21:01:16 -05:00
comfyanonymous and GitHub
25bc1b5b57
Add memory estimation function to ltxav text encoder. ( #11716 )
2026-01-07 20:11:22 -05:00
comfyanonymous and GitHub
3cd19e99c1
Increase ltxav mem estimation by a bit. ( #11715 )
2026-01-07 20:04:56 -05:00
comfyanonymous and GitHub
34751fe9f9
Lower ltxv text encoder vram use. ( #11713 )
2026-01-07 19:12:15 -05:00
rattus and GitHub
48e5ea1dfd
model_patcher: Remove confusing load stat ( #11710 )
...
If the loader passes 1e32 as the usable memory size, it means force
the full load. This happens with CPU loads and a few other misc cases.
Removing the confusing number and just leave the other details.
2026-01-07 18:39:20 -05:00
comfyanonymous and GitHub
3cd7b32f1b
Support gemma 12B with quant weights. ( #11696 )
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2026-01-07 05:15:14 -05:00
comfyanonymous and GitHub
b7d7cc1d49
Fix fp8 fast issue. ( #11688 )
2026-01-07 01:39:06 -05:00
comfyanonymous and GitHub
edee33f55e
Disable comfy kitchen cuda if pytorch cuda less than 13 ( #11681 )
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2026-01-06 22:13:43 -05:00
comfyanonymous and GitHub
2c03884f5f
Skip fp4 matrix mult on devices that don't support it. ( #11677 )
2026-01-06 18:07:26 -05:00
comfyanonymous and GitHub
6e9ee55cdd
Disable ltxav previews. ( #11676 )
2026-01-06 17:41:27 -05:00
comfyanonymous and GitHub
023cf13721
Fix lowvram issue with ltxv2 text encoder. ( #11675 )
2026-01-06 17:33:03 -05:00
comfyanonymous and GitHub
c3c3e93c5b
Use rope functions from comfy kitchen. ( #11674 )
2026-01-06 16:57:50 -05:00
comfyanonymous and GitHub
1618002411
Revert "Use rope functions from comfy kitchen. ( #11647 )" ( #11648 )
...
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This reverts commit 6ef85c4915
2026-01-05 23:07:39 -05:00
comfyanonymous and GitHub
6ef85c4915
Use rope functions from comfy kitchen. ( #11647 )
2026-01-05 22:50:35 -05:00
6da00dd899
Initial ops changes to use comfy_kitchen: Initial nvfp4 checkpoint support. ( #11635 )
...
---------
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com >
2026-01-05 21:48:58 -05:00
comfyanonymous and GitHub
d157c3299d
Refactor module_size function. ( #11637 )
2026-01-05 03:48:31 -05:00
comfyanonymous and GitHub
f2b002372b
Support the LTXV 2 model. ( #11632 )
2026-01-05 01:58:59 -05:00
comfyanonymous and GitHub
53e762a3af
Print memory summary on OOM to help with debugging. ( #11613 )
2026-01-03 22:28:38 -05:00
comfyanonymous and GitHub
9a552df898
Remove leftover scaled_fp8 key. ( #11603 )
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2026-01-02 17:28:10 -08:00
comfyanonymous and GitHub
65cfcf5b1b
New Year ruff cleanup. ( #11595 )
2026-01-01 22:06:14 -05:00
comfyanonymous and GitHub
1bdc9a947f
Remove duplicate import of model_management ( #11587 )
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2025-12-31 19:29:55 -05:00
comfyanonymous and GitHub
d622a61874
Refactor: move clip_preprocess to comfy.clip_model ( #11586 )
2025-12-31 17:38:36 -05:00
mengqin and GitHub
0357ed7ec4
Add support for sage attention 3 in comfyui, enable via new cli arg ( #11026 )
...
* Add support for sage attention 3 in comfyui, enable via new cli arg
--use-sage-attiention3
* Fix some bugs found in PR review. The N dimension at which Sage
Attention 3 takes effect is reduced to 1024 (although the improvement is
not significant at this scale).
* Remove the Sage Attention3 switch, but retain the attention function
registration.
* Fix a ruff check issue in attention.py
2025-12-30 22:53:52 -05:00
178bdc5e14
Add handling for vace_context in context windows ( #11386 )
...
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Co-authored-by: ozbayb <17261091+ozbayb@users.noreply.github.com >
2025-12-30 14:40:42 -08:00
comfyanonymous and GitHub
0e6221cc79
Add some warnings for pin and unpin errors. ( #11561 )
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2025-12-29 18:26:42 -05:00
rattus and GitHub
9ca7e143af
mm: discard async errors from pinning failures ( #10738 )
...
Pretty much every error cudaHostRegister can throw also queues the same
error on the async GPU queue. This was fixed for repinning error case,
but there is the bad mmap and just enomem cases that are harder to
detect.
Do some dummy GPU work to clean the error state.
2025-12-29 18:19:34 -05:00
comfyanonymous and GitHub
8fd07170f1
Comment out unused norm_final in lumina/z image model. ( #11545 )
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2025-12-28 22:07:25 -05:00
comfyanonymous and GitHub
2943093a53
Enable async offload by default for AMD. ( #11534 )
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Generate Pydantic Stubs from api.comfy.org / generate-models (push) Has been cancelled
2025-12-27 18:54:15 -05:00
comfyanonymous and GitHub
1e4e342f54
Fix noise with ancestral samplers when inferencing on cpu. ( #11528 )
2025-12-26 22:03:01 -05:00
comfyanonymous and GitHub
fb478f679a
Only apply gemma quant config to gemma model for newbie. ( #11436 )
2025-12-20 01:02:43 -05:00
woctordho and GitHub
4c432c11ed
Implement Jina CLIP v2 and NewBie dual CLIP ( #11415 )
...
* Implement Jina CLIP v2
* Support quantized Gemma in NewBie dual CLIP
2025-12-20 00:57:22 -05:00
comfyanonymous and GitHub
31e961736a
Fix issue with batches and newbie. ( #11435 )
2025-12-20 00:23:51 -05:00
comfyanonymous and GitHub
3ab9748903
Disable prompt weights on newbie te. ( #11434 )
2025-12-20 00:19:47 -05:00
woctordho and GitHub
0aa7fa464e
Implement sliding attention in Gemma3 ( #11409 )
2025-12-20 00:16:46 -05:00
514c24d756
Fix error from logging line ( #11423 )
...
Co-authored-by: ozbayb <17261091+ozbayb@users.noreply.github.com >
2025-12-19 20:22:45 -08:00
comfyanonymous and GitHub
809ce68749
Support nested tensor denoise masks. ( #11431 )
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2025-12-19 19:59:25 -05:00
BradPepersAMD and GitHub
cc4ddba1b6
Allow enabling use of MIOpen by setting COMFYUI_ENABLE_MIOPEN=1 as an env var ( #11366 )
2025-12-19 17:01:50 -05:00
comfyanonymous and GitHub
28eaab608b
Diffusion model part of Qwen Image Layered. ( #11408 )
...
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Only thing missing after this is some nodes to make using it easier.
2025-12-18 20:21:14 -05:00
comfyanonymous and GitHub
6a2678ac65
Trim/pad channels in VAE code. ( #11406 )
2025-12-18 18:22:38 -05:00
comfyanonymous and GitHub
e4fb3a3572
Support loading Wan/Qwen VAEs with different in/out channels. ( #11405 )
2025-12-18 17:45:33 -05:00
comfyanonymous and GitHub
bf7dc63bd6
skip_load_model -> force_full_load ( #11390 )
...
This should be a bit more clear and less prone to potential breakage if the
logic of the load models changes a bit.
2025-12-17 23:29:32 -05:00
Kohaku-Blueleaf and GitHub
86dbb89fc9
Resolution bucketing and Trainer implementation refactoring ( #11117 )
2025-12-17 22:15:27 -05:00
chaObserv and GitHub
5d9ad0c6bf
Fix the last step with non-zero sigma in sa_solver ( #11380 )
2025-12-17 13:57:40 -05:00
chaObserv and GitHub
827bb1512b
Add exp_heun_2_x0 sampler series ( #11360 )
2025-12-16 23:35:43 -05:00
comfyanonymous and GitHub
ffdd53b327
Check state dict key to auto enable the index_timestep_zero ref method. ( #11362 )
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2025-12-16 17:03:17 -05:00
comfyanonymous and GitHub
bc606d7d64
Add a way to set the default ref method in the qwen image code. ( #11349 )
2025-12-16 01:26:55 -05:00
comfyanonymous and GitHub
683569de55
Only enable fp16 on ZImage on newer pytorch. ( #11344 )
2025-12-15 22:33:27 -05:00
Haoming and GitHub
ea2c117bc3
[BlockInfo] Wan ( #10845 )
...
* block info
* animate
* tensor
* device
* revert
2025-12-15 17:59:16 -08:00
fc4af86068
[BlockInfo] Lumina ( #11227 )
...
* block info
* device
* Make tensor int again
---------
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com >
2025-12-15 17:57:28 -08:00
