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 )
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---------
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
Silver and GitHub
7d600fe114
Merge branch 'comfyanonymous:master' into radiance-refactor
2026-01-05 04:27:25 +01:00
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 )
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* 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 )
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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 )
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* 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 )
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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
silveroxides
a616140d6b
remove unused imports
2025-12-19 19:15:22 +01:00
silveroxides
e41e0060b9
Radiance Refactoring
2025-12-19 15:46:13 +01:00
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 )
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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 )
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* block info
* animate
* tensor
* device
* revert
2025-12-15 17:59:16 -08:00
fc4af86068
[BlockInfo] Lumina ( #11227 )
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* block info
* device
* Make tensor int again
---------
Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com >
2025-12-15 17:57:28 -08:00
comfyanonymous and GitHub
70541d4e77
Support the new qwen edit 2511 reference method. ( #11340 )
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index_timestep_zero can be selected in the
FluxKontextMultiReferenceLatentMethod now with the display name set to the
more generic "Edit Model Reference Method" node.
2025-12-15 19:20:34 -05:00
77b2f7c228
Add context windows callback for custom cond handling ( #11208 )
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Co-authored-by: ozbayb <17261091+ozbayb@users.noreply.github.com >
2025-12-15 16:06:32 -08:00
Dr.Lt.Data and GitHub
dbd330454a
feat(preview): add per-queue live preview method override ( #11261 )
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- Add set_preview_method() to override live preview method per queue item
- Read extra_data.preview_method from /prompt request
- Support values: taesd, latent2rgb, none, auto, default
- "default" or unset uses server's CLI --preview-method setting
- Add 44 tests (37 unit + 7 E2E)
2025-12-15 15:57:39 -08:00
comfyanonymous and GitHub
5ac3b26a7d
Update warning for old pytorch version. ( #11319 )
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Versions below 2.4 are no longer supported. We will not break support on purpose but will not fix it if we do.
2025-12-14 04:02:50 -05:00
chaObserv and GitHub
6592bffc60
seeds_2: add phi_2 variant and sampler node ( #11309 )
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* Add phi_2 solver type to seeds_2
* Add sampler node of seeds_2
2025-12-14 00:03:29 -05:00
comfyanonymous and GitHub
971cefe7d4
Fix pytorch warnings. ( #11314 )
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2025-12-13 18:45:23 -05:00
comfyanonymous and GitHub
da2bfb5b0a
Basic implementation of z image fun control union 2.0 ( #11304 )
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The inpaint part is currently missing and will be implemented later.
I think they messed up this model pretty bad. They added some
control_noise_refiner blocks but don't actually use them. There is a typo
in their code so instead of doing control_noise_refiner -> control_layers
it runs the whole control_layers twice.
Unfortunately they trained with this typo so the model works but is kind
of slow and would probably perform a lot better if they corrected their
code and trained it again.
2025-12-13 01:39:11 -05:00
comfyanonymous and GitHub
c5a47a1692
Fix bias dtype issue in mixed ops. ( #11293 )
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2025-12-12 11:49:35 -05:00
comfyanonymous and GitHub
5495589db3
Respect the dtype the op was initialized in for non quant mixed op. ( #11282 )
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2025-12-11 23:32:27 -05:00
comfyanonymous and GitHub
eeb020b9b7
Better chroma radiance and other models vram estimation. ( #11278 )
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2025-12-11 17:33:09 -05:00
