2253 Commits

Author	SHA1	Message	Date
Yousef Rafat	96d0cfe0d7	.	2026-05-08 20:02:09 +03:00
Yousef Rafat	9d0f678f6f	removing seeds from node display	2026-05-08 19:03:06 +03:00
Yousef R. Gamaleldin	2727c4a48c	Merge branch 'master' into trellis2	2026-05-08 14:50:49 +03:00
Yousef R. Gamaleldin	d3c18c1636	Add support for BiRefNet background remove model (CORE-46) (#12747)	2026-05-08 17:59:24 +08:00
omahs	bac6fc35fb	Fix typos (#10986)	2026-05-08 17:14:45 +08:00
Talmaj	ef8f25601a	Add I2V for causal forcing model. (#13719)	2026-05-07 18:38:36 -07:00
Jukka Seppänen	8dc3f3f209	Improve SAM3 large input handling (#13767)	2026-05-07 17:18:28 -07:00
Yousef Rafat	e180d4ad79	simplify and optimize model.forward	2026-05-07 18:47:03 +03:00
Jukka Seppänen	cd8c7a2306	Throttle dynamic VRAM prepare logging (#13704)	2026-05-07 10:41:13 +08:00
Talmaj	78b3096bf3	Void model - pass 1 & 2 (CORE-38) (#13403)	2026-05-05 19:59:04 -07:00
drozbay	e5369c0eec	feat: Context windows - add causal_window_fix to improve blending of context windows (CORE-100) (#13563) ... * Context windows: add causal_window_fix toggle * Fix slice_cond to correctly handle causal anchor index for temporal offsets	2026-05-05 16:40:53 -07:00
drozbay	1655f8089a	Add temporal_downscale_ratio to LatentFormat (#13702) ... Co-authored-by: ozbayb <17261091+ozbayb@users.noreply.github.com> Co-authored-by: Alexis Rolland <alexisrolland@hotmail.com> Co-authored-by: Jukka Seppänen <40791699+kijai@users.noreply.github.com> Co-authored-by: Jedrzej Kosinski <kosinkadink1@gmail.com>	2026-05-05 16:30:00 -07:00
Yousef R. Gamaleldin	81ed835ffb	Merge branch 'master' into trellis2	2026-05-05 23:20:05 +03:00
Talmaj	fed8d5efa6	feat: Auto-regressive video generation (CORE-25) (#13082)	2026-05-04 21:01:22 -07:00
Jedrzej Kosinski	e758594e3b	Add deploy environment header (Comfy-Env) to partner node API calls (#13425)	2026-05-04 20:17:56 -07:00
Jedrzej Kosinski	ae457da84b	feat: add generic --feature-flag CLI arg and --list-feature-flags registry (#13685)	2026-05-04 19:50:26 -07:00
rattus	1265955b34	ops: handle multi-compute of the same weight (#13705) ... If the same weight is used multiple times within the same prefetch window, it should only apply compute state mutations once. Mark the weight as fully resident on the first pass accordingly.	2026-05-04 16:40:57 -07:00
rattus	1ac78180b3	make control-net load order deterministic (#13701) ... Make this deterministic so speeds dont change base of load order. Load them in reverse order so whatever the caller lists first is the top priority.	2026-05-04 12:58:06 -07:00
rattus	c47633f3be	prefetch: guard against no offload (#13703) ... cast_ will return no stream if there is no work to do. guard against this is the consume logic.	2026-05-04 12:56:05 -07:00
Silver	b138133ffa	Enable triton comfy kitchen via cli-arg (#12730)	2026-05-03 14:07:21 -04:00
Jukka Seppänen	be95871adc	feat: Gemma4 text generation support (CORE-30) (#13376) ... * initial gemma4 support * parity with reference implementation outputs can 100% match transformers with same sdpa flags, checkpoint this and then optimize * Cleanup, video fixes * cleanup, enable fused rms norm by default * update comment * Cleanup * Update sd.py * Various fixes * Add fp8 scaled embedding support * small fixes * Translate think tokens * Fix image encoder attention mask type So it works with basic attention * Handle thinking tokens different only for Gemma4 * Code cleanup * Update nodes_textgen.py * Use embed scale class instead of buffer Slight difference to HF, but technically more accurate and simpler code * Default to fused rms_norm * Update gemma4.py	2026-05-02 22:46:15 -04:00
rattus	783782d5d7	Implement block prefetch + Lora Async load + and adopt in LTX (Speedup!) (CORE-111) (#13618) ... * mm: Use Aimdo raw allocator for cast buffers pytorch manages allocation of growing buffers on streams poorly. Pyt has no windows support for the expandable segments allocator (which is the right tool for this job), while also segmenting the memory by stream such that it can be generally re-used. So kick the problem to aimdo which can just grow a virtual region thats freed per stream. * plan * ops: move cpu handler up to the caller * ops: split up prefetch from weight prep block prefetching API Split up the casting and weight formating/lora stuff in prep for arbitrary prefetch support. * ops: implement block prefetching API allow a model to construct a prefetch list and operate it for increased async offload. * ltxv2: Implement block prefetching * Implement lora async offload Implement async offload of loras.	2026-05-02 19:23:24 -04:00
Simon Lui	63103d519e	Remove IPEX and clean up checks and add missing synchronize during empty cache. (#13653)	2026-05-01 14:16:41 -07:00
Talmaj	cf9cbec596	Reformat models variable into multiline array CORE-59 (#13513) ... Co-authored-by: Talmaj Marinc <talmaj@comfy.org>	2026-05-01 17:20:11 +08:00
Rainer	e9c311b245	OneTainer ERNIE LoRA support (#13640)	2026-04-30 19:33:41 -04:00
blepping	a164c82913	Add high quality preview support for Flux2 latents (#13496)	2026-04-29 19:37:30 -04:00
Talmaj	5eeae3f1d8	Cogvideox (#13402) ... --------- Co-authored-by: kijai <40791699+kijai@users.noreply.github.com> Co-authored-by: Talmaj Marinc <talmaj@comfy.org>	2026-04-29 19:30:08 -04:00
Jukka Seppänen	0e25a6936e	Reduce video tiny VAE peak VRAM and decode time (CORE-127) (#13617) ... * Update taehv.py * Simplify * Simplify pixel_unshuffle dispatch	2026-04-29 12:15:10 -07:00
rattus	fce0398470	dynamicVRAM + --cache-ram 2 (CORE-117) (#13603) ... * pinned_memory: remove JIT RAM pressure release This doesn't work, as freeing intermediates for pins needs to be higher-priority than freeing pins-for-pins if and when you are going to do that. So this is too late as pins-for-pins is model load time and we dont have JIT pins-for-pins. * cacheing: Add a filter to only free intermediates from inactive wfs This is to get priorities in amongst pins straight. * mm: free inactive-ram from RAM cache first Stuff from inactive workflows should be freed before anything else. * caching: purge old ModelPatchers first Dont try and score them, just dump them at the first sign of trouble if they arent part of the workflow.	2026-04-28 19:15:02 -04:00
rattus	b47f15f25a	fix: Handle un-inited meta-tensors in models (fixes a CPU TE crash) (CORE-67) (#13578)	2026-04-27 22:22:31 -04:00
Jukka Seppänen	084e08c6e2	Disable sageattention for SAM3 (#13529) ... Causes Nans	2026-04-23 11:14:42 -07:00
Jukka Seppänen	749d5b4e8d	feat: SAM (segment anything) 3.1 support (CORE-34) (#13408)	2026-04-23 00:07:43 -04:00
rattus	ec4b1659ab	ModelPatcherDynamic: force cast stray weights on comfy layers (#13487) ... the mixed_precision ops can have input_scale parameters that are used in tensor math but arent a weight or bias so dont get proper VRAM management. Treat these as force-castable parameters like the non comfy weight, random params are buffers already are.	2026-04-22 18:13:38 -04:00
blepping	9949c19c63	Derive InterruptProcessingException from BaseException (#13523)	2026-04-22 18:08:19 -04:00
Octopus	cc6f9500a1	fix: use Parameter assignment for Stable_Zero123 cc_projection weights (fixes #13492) (#13518) ... On Windows with aimdo enabled, disable_weight_init.Linear uses lazy initialization that sets weight and bias to None to avoid unnecessary memory allocation. This caused a crash when copy_() was called on the None weight attribute in Stable_Zero123.__init__. Replace copy_() with direct torch.nn.Parameter assignment, which works correctly on both Windows (aimdo enabled) and other platforms.	2026-04-22 15:05:43 -07:00
Jukka Seppänen	eb22225387	Support standalone LTXV audio VAEs (#13499)	2026-04-21 10:46:37 -07:00
comfyanonymous	ad94d47221	Make the ltx audio vae more native. (#13486)	2026-04-21 11:02:42 -04:00
John Pollock	33caec301a	Validate Trellis coord_counts noise metadata	2026-04-20 17:17:50 -05:00
John Pollock	90ebb50f00	Harden Trellis sparse latent seeding	2026-04-20 16:05:10 -05:00
John Pollock	0b99c8c44a	Fail loud on Trellis invalid batch metadata	2026-04-20 15:50:40 -05:00
John Pollock	a752dd4736	Harden Trellis sparse metadata validation	2026-04-20 14:46:23 -05:00
John Pollock	7d98cc1305	Fix Trellis seeded sparse batch semantics	2026-04-20 14:29:07 -05:00
John Pollock	49c1adeed6	Fix Trellis PR review regressions	2026-04-20 12:15:49 -05:00
John Pollock	c81ddf2349	Fix Trellis2 batched shape and texture semantics	2026-04-20 11:06:04 -05:00
John Pollock	70511a9a91	Trellis2: guard structure shape_rule pruning to CFG batches	2026-04-19 21:38:45 -05:00
John Pollock	b443f423b4	Trellis2: slice cond half of x symmetrically under shape_rule pruning	2026-04-19 21:26:48 -05:00
John Pollock	5575e06ff3	clarify: issue 86 latent-to-pixel resolution mapping	2026-04-19 19:20:14 -05:00
John Pollock	d62bbe5fe0	fix: issue 86 1024 conditioning gate	2026-04-19 18:23:17 -05:00
comfyanonymous	3d816db07f	Some optimizations to make Ernie inference a bit faster. (#13472)	2026-04-18 23:02:29 -04:00
Jukka Seppänen	b9dedea57d	feat: SUPIR model support (CORE-17) (#13250)	2026-04-18 23:02:01 -04:00