Markury and GitHub
0fc15700be
Add LyCoris LoKr MLP layer support for Flux2 ( #11997 )
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2026-01-20 23:18:33 -05:00
comfyanonymous and GitHub
e755268e7b
Config for Qwen 3 0.6B model. ( #11998 )
2026-01-20 23:08:31 -05:00
Mylo and GitHub
c4a14df9a3
Dynamically detect chroma radiance patch size ( #11991 )
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2026-01-20 18:46:11 -05:00
Ivan Zorin and GitHub
965d0ed509
fix: remove normalization of audio in LTX Mel spectrogram creation ( #11990 )
...
For LTX Audio VAE, remove normalization of audio during MEL spectrogram creation.
This aligs inference with training and prevents loud audio from being attenuated.
2026-01-20 18:44:28 -05:00
comfyanonymous and GitHub
8ccc0c94fa
Make omni stuff work on regular z image for easier testing. ( #11985 )
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2026-01-20 00:32:00 -05:00
comfyanonymous and GitHub
2108167f9f
Support zimage omni base model. ( #11979 )
2026-01-19 23:17:38 -05:00
comfyanonymous and GitHub
70c91b8248
Fix #11963 ( #11982 )
2026-01-19 22:32:40 -05:00
rkfg and GitHub
0da5a0fe58
Convert mono audio to fake stereo for LTXV VAE encoding ( #11965 )
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2026-01-19 22:12:02 -05:00
comfyanonymous and GitHub
e0eacb0688
Simpler way to implement the #11980 loras. ( #11981 )
2026-01-19 22:00:36 -05:00
comfyanonymous and GitHub
7ac999bf30
Add image sizes to clip vision outputs. ( #11923 )
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2026-01-16 23:02:28 -05:00
comfyanonymous and GitHub
4c816d5c69
Adjust memory usage factor calculation for flux2 klein. ( #11900 )
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2026-01-15 20:06:40 -05:00
comfyanonymous and GitHub
3b832231bb
Flux2 Klein support. ( #11890 )
2026-01-15 10:33:15 -05:00
Jukka Seppänen and GitHub
be518db5a7
Remove extraneous clip missing warnings when loading LTX2 embeddings_connector weights ( #11874 )
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2026-01-14 17:54:04 -05:00
rattus and GitHub
80441eb15e
utils: fix lanczos grayscale upscaling ( #11873 )
2026-01-14 17:53:16 -05:00
comfyanonymous and GitHub
6165c38cb5
Optimize nvfp4 lora applying. ( #11866 )
...
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This changes results a bit but it also speeds up things a lot.
2026-01-14 00:49:38 -05:00
Silver and GitHub
712cca36a1
feat: throttle ProgressBar updates to reduce WebSocket flooding ( #11504 )
2026-01-13 22:41:44 -05:00
comfyanonymous and GitHub
eff2b9d412
Optimize nvfp4 lora applying. ( #11856 )
2026-01-13 19:37:19 -05:00
comfyanonymous and GitHub
15b312de7a
Optimize nvfp4 lora applying. ( #11854 )
2026-01-13 19:23:58 -05:00
comfyanonymous and GitHub
1dcbd9efaf
Bump ltxav mem estimation a bit. ( #11842 )
2026-01-13 01:42:07 -05:00
comfyanonymous and GitHub
117e7a5853
Refactor to try to lower mem usage. ( #11840 )
2026-01-12 21:01:52 -08:00
comfyanonymous and GitHub
b3c0e4de57
Make loras work on nvfp4 models. ( #11837 )
...
The initial applying is a bit slow but will probably be sped up in the
future.
2026-01-12 22:33:54 -05:00
Jukka Seppänen and GitHub
fd5c0755af
Reduce LTX2 VRAM use by more efficient timestep embed handling ( #11829 )
2026-01-12 17:28:59 -05:00
comfyanonymous and GitHub
c881a1d689
Support the siglip 2 naflex model as a clip vision model. ( #11831 )
...
Not useful yet.
2026-01-12 17:05:54 -05:00
kelseyee and GitHub
a3b5d4996a
Support ModelScope-Trainer DiffSynth lora for Z Image. ( #11805 )
2026-01-12 15:38:46 -05:00
comfyanonymous and GitHub
2f642d5d9b
Fix chroma fp8 te being treated as fp16. ( #11795 )
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2026-01-10 14:40:42 -08:00
comfyanonymous and GitHub
cd912963f1
Fix issue with t5 text encoder in fp4. ( #11794 )
2026-01-10 17:31:31 -05:00
DELUXA and GitHub
6e4b1f9d00
pythorch_attn_by_def_on_gfx1200 ( #11793 )
2026-01-10 16:51:05 -05:00
comfyanonymous and GitHub
dc202a2e51
Properly save mixed ops. ( #11772 )
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2026-01-10 02:03:57 -05:00
comfyanonymous and GitHub
bd0e6825e8
Be less strict when loading mixed ops weights. ( #11769 )
2026-01-09 14:21:06 -05:00
Jedrzej Kosinski and GitHub
1dc3da6314
Add most basic Asset support for models ( #11315 )
...
* Brought over minimal elements from PR 10045 to reproduce seed_assets and register_assets_system without adding anything to the DB or server routes yet, for now making everything sync (can introduce async once everything is cleaned up and brought over)
* Added db script to insert assets stuff, cleaned up some code; assets (models) now get added/rescanned
* Added support for 5 http endpoints for assets
* Replaced Optional with | None in schemas_in.py and schemas_out.py
* Remove two routes that will not be relevant yet in this PR: HEAD /api/assets/hash/<hash> and PUT /api/assets/<id>/preview
* Remove some functions the two deleted endpoints were using
* Don't show assets scan message upon calling /object_info endpoint
* removed unsued import to satisfy ruff
* Simplified hashing function tpye hint and _hash_file_obj
* Satisfied ruff
2026-01-08 22:21:51 -05:00
comfyanonymous and GitHub
1a20656448
Fix import issue. ( #11746 )
2026-01-08 17:23:59 -05:00
comfyanonymous and GitHub
0f11869d55
Better detection if AMD torch compiled with efficient attention. ( #11745 )
2026-01-08 17:16:58 -05:00
comfyanonymous and GitHub
50d6e1caf4
Tweak ltxv vae mem estimation. ( #11722 )
2026-01-07 23:07:05 -05:00
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
