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
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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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
