2273 Commits

Include renames

Author	SHA1	Message	Date
comfyanonymousandGitHub	b910f4fa2a	More accurate memory usage factor for krea 2. (#14594)	2026-06-23 16:50:48 +08:00
Jukka SeppänenandGitHub	2a61015582	feat: Support Krea2 (#14589)	2026-06-22 14:35:00 -07:00
comfyanonymousandGitHub	e00b55631a	Small anima optimization. (#14557)	2026-06-20 08:05:28 +08:00
Barish OzbayandGitHub	cd77c551d6	feat: Context Windows sampling with LTX2 models and IC-LoRa guides (CORE-3) (#13325)	2026-06-20 07:47:31 +08:00
comfyanonymousandGitHub	52257bb435	Add negative prompt to boogu edit node and set min images to 0. (#14529)	2026-06-17 15:42:29 -07:00
Jukka SeppänenandGitHub	e25c391888	feat: Support Boogu-Image (CORE-308) (#14523)	2026-06-17 14:22:36 -07:00
Jukka SeppänenandGitHub	ca3dbe206c	Allow using Qwen3-VL as flux2 klein text encoder (again) (#14526)	2026-06-17 08:45:06 -07:00
Jukka SeppänenandGitHub	a590d60bb1	feat: SCAIL-2 multireference (CORE-310) (#14509) ... * SCAIl-2: support multiref	2026-06-17 16:21:23 +03:00
Jukka SeppänenandGitHub	fc964047e7	feat: Support text generation with Qwen3-VL (CORE-276) (#14298)	2026-06-17 08:12:44 +08:00
rattusandGitHub	ec4dec93d2	Comfy Aimdo 0.4.10 + Dynamic --reserve-vram + --vram-headroom (#14480) ... * main: implement --vram-headroom Implement --vram-headroom for dynamic vram as a hybrid debug/diagnostic option that can be used for people who still report shared VRAM spills. They can trial and error the setting to maintain a bit more headroom to avoid shared VRAM spills. * main: implement --reserve-vram Implement --reserve-vram as extra headroom on the simple method which is semantically as close as possible to the stated functionality and formet behaviour of non-dynamic VRAM.	2026-06-15 07:54:36 -07:00
comfyanonymousandGitHub	7277d99d3a	Use comfy kitchen apply rope in omnigen2 model. (#14442)	2026-06-13 09:38:39 +08:00
rattusandGitHub	d7a552720c	add --high-ram option (#14437) ... Add this option for users who know they have so much ram they want to pin everything or have a pagefile that outruns their disk speed. The removes the RAM pressure caps completely and pins behind the primary model load forcing all models to be permanently comitted to RAM.	2026-06-12 07:53:33 -07:00
comfyanonymousandGitHub	02656ea0bb	Fix potential dtype issue with ideogram 4. (#14436)	2026-06-12 07:51:12 -07:00
Jedrzej KosinskiandGitHub	befc321438	Make --enable-manager-legacy-ui imply --enable-manager (#14421)	2026-06-12 06:45:22 +08:00
Barish OzbayandGitHub	91187c58d9	Improve context window resizing for SCAIL2 (CORE-286) (#14394)	2026-06-11 13:37:43 +08:00
rattusandGitHub	bda19b2604	ops: tolerate already force casted dynamic weight (#14410) ... Some custom nodes .to weights completely out of load context which can wreak havoc if its for a model that is not active. Detect this condition and just let it fall-through to the non-dynamic loader straight up.	2026-06-10 20:32:57 -07:00
rattusandGitHub	6d18f4adac	main: force cudnn.benchmark to false (#14390) ... Some custom nodes try to set this true globally. It messes with dynamic VRAM with one-off spikes that can OOM but this is also very high risk for windows where such allocations might get serviced by shared memory fallback. Trump it.	2026-06-10 13:54:32 -04:00
Kohaku-BlueleafandGitHub	f350acdf21	[Trainer/bug] Ensure model is not inference mode (CORE-72) (#13400) ... * Ensure model is not inference mode * force clone inside training mode to avoid inference tensor * Allow force deepcopy for model patcher	2026-06-09 23:07:47 -04:00
3 people	5ece24e73c	Depth anything 3 (Core-135) (#13853) ... Co-authored-by: Alexis Rolland <alexisrolland@hotmail.com>	2026-06-10 09:28:24 +08:00
Jukka SeppänenandGitHub	f8e51b674c	feat: Add Bernini-R model support (Wan video) (CORE-279) (#14216)	2026-06-10 07:47:34 +08:00
rattusandGitHub	6f01b244a2	mm: dont reset cast buffers in cleanup_models_gc() (#14372) ... cleanup_models_gc can be called once per load_models_gpu via free_memory, which in turn can de-activate an active model via this reset_cast_buffers. cleanup_models_gc() could also come via obscure garbage collector paths so limit reset_cast_buffers to the post-node callsite instead.	2026-06-09 13:57:04 -04:00
Jukka SeppänenandGitHub	184009c2f6	feat: Add model support for SCAIL-2 (#14373) ... * initial SCAIL2 support	2026-06-09 18:24:09 +03:00
kelseyeeandGitHub	07c53f8f0f	Add LoRA key mapping for LTXV/LTXAV models (#14349)	2026-06-09 09:57:58 -04:00
rattusandGitHub	1639dc7a70	main/server: Add --debug-hang (#14371) ... Add an option to debug a hang with ctrl-C, dumping the backtraces to see where its stuck or slow.	2026-06-09 09:55:00 -04:00
Jukka SeppänenandGitHub	8ed7f458d0	Allow custom templates with Ideogram4 TE (#14374)	2026-06-09 21:11:05 +08:00
Alexis RollandandGitHub	f89999289a	fix: Add back apply_rotary_emb for Qwen Image (#14364)	2026-06-09 11:55:49 +08:00
comfyanonymousandGitHub	00b633f368	Revert "Add SeedVR2 support (CORE-6) (#14110)" (#14359) ... This reverts commit 7863cf0e53.	2026-06-08 18:00:20 -04:00
John PollockandGitHub	7863cf0e53	Add SeedVR2 support (CORE-6) (#14110)	2026-06-08 18:15:05 +08:00
rattusandGitHub	410df27253	Fix interoperation with external source of pinned memory pressure (#14252) ... * mm: split off registration helper to doer and headroom calc * pinned_memory: implement registration comfy side Move away from Aimdo buffer registrations which seem fraught with danger and do it comfy side. Just start with the basic move. * pinned_memory: do registrations as portable memory * pinned_memory: discard async errors on registration fail Like the good ol days. * pinned_memory: implement abs shortfall retry If pinned registration happens to fail despite the previous budget ensures, consider the allocation shortfall, ensure it again, and try again. This allows comfy pins to interoperate with other software that might be doing substantive pinning.	2026-06-05 08:39:35 -07:00
comfyanonymousandGitHub	514bb8ba21	Fix ideogram if model dtype gets set to fp8. (#14291)	2026-06-04 19:20:22 -07:00
comfyanonymousandGitHub	8e3045a90b	Memory usage factor for ideogram 4 on non dynamic vram. (#14264)	2026-06-03 12:19:18 -04:00
Jukka SeppänenandGitHub	24f9a020ce	Support Ideogram4 (#14259)	2026-06-03 08:41:44 -07:00
comfyanonymousandGitHub	d4c7ebff9c	Remove old useless no comfy kitchen fallback. (#14245) ... * Remove old fallback used when no comfy kitchen. * Remove unused logging import	2026-06-02 17:52:41 -07:00
Quasar of MikusandGitHub	e9207aa7cc	fix (MultiGPU): prevent freeze on manual abort when using MultiGPU CFG Split (#14235) ... * fix (MultiGPU): prevent freeze on manual abort when using MultiGPU CFG Split Problem: Upon manual abort application hangs indefinitely. `InterruptProcessingException` inherits from `BaseException` and bypasses MultiGPU's worker error handling block so thread dies silently, leaving the main thread waiting forever for `result_q.get()` Fix: Catch `comfy.model_management.InterruptProcessingException` instead of `Exception` so it's caught and passed back via `result_q` to unblock the main thread when manual abort signal fires. * oops	2026-06-02 10:05:24 -07:00
person4268andGitHub	c96fcddb81	Radiance: support variant with nonzero txt_ids (#14206)	2026-06-01 22:07:48 -07:00
comfyanonymousandGitHub	4b48535a7d	Do tripo dinov3 inference in fp32. (#14221)	2026-06-01 18:08:20 -07:00
comfyanonymousandGitHub	e785f0d212	Some cast/dtype fixes for the birefnet and dino3 models. (#14217)	2026-06-01 14:35:26 -07:00
Jukka SeppänenandGitHub	462c27fdb2	feat: Add TripoSplat support (#14210)	2026-06-01 07:01:50 -07:00
savvadesogleandGitHub	cd45f42a83	fix(multigpu): replace hardcoded torch.cuda.set_device with device-agnostic set_torch_device (#14191)	2026-05-30 21:18:42 -04:00
comfyanonymousandGitHub	81aa5a38b2	Speed up ernie model by a bit on nvidia and use higher quality rope. (#14192)	2026-05-30 17:53:37 -07:00
rattusandGitHub	f7297bc5a9	Revert deprecation of non-dynamic smart memory (CORE-152 (revert)) (#14183) ... * mm: re-instantate smart memory for VRAM * mm: restore non-dynamic smart memory By popular demand. We aren't quite ready for the deprecation as non dynamic enabled GPUs and some high-vram custom model loader setups prefer the old full hands on.	2026-05-30 15:20:33 -04:00
rattusandGitHub	e154da83b1	Threaded Loader performance fixes / improvements (+ Aimdo 0.4.6) (#14116) ... * memory_management: Add direct to read GPU mode Make destination optional (or make it optionally GPU) and use aimdo to file_read direct to GPU. * ops: Remove stream pin buffers and use aimdo reads This consumed too much RAM and its better to just take the hit on the CPU syncing back the stream on a short ring buffer. Aimdo implements this so just rip the stream pin buffer from comfy. * model_management: all active pin registration movement Its better to just let the active model load past the pin limit as pins and let the pins move around. The saves the HDD and SATA people disk traffic while only costing a few GPU syncs. * utils: use aimdo file handle This opens on windows with more favourable flags * mp: only count the model proper for loaded_ram and vram Exclude live loras from the numbers to avoid the case where the reported loaded memory exceeds the size of the model. This causes me confusion in the Kijai visualizer when it looked fully loaded but was hitting disk due to this accounding disrepency. * utils: add bit reverse utility useful for max scattering something ordered. * pinned_memory: Implement offload balancing Use a max scatter alogorithm to prioritize pins of the same size such that when doing a little bit of offloading it gets scattered, allowing the prefetcher to more evenly swollow the offload. * comfy-aimdo 0.4.7 Aimdo 0.4.7 implement VRAM buffer exhaustion predection to avoid early speculative load of weights that definately wont fix once the inference gets further in. * model-prefetch: consolidate pin ensures on the sync point This could happen mid prefetch block, cause a sync of the entire block and lose overlap. Get ahead of the problem with a free down at the natural compute stream sync point. * mm: Put a 2GB min on the pin ceiling This is reasonably bad if it starts causing swap pressure, moreso than during normal ram-cache proceedings. Clamp it. * add --fast-disk	2026-05-30 15:20:04 -04:00
comfyanonymousandGitHub	0b04660ba3	Speed up anima a bit on nvidia. (#14181)	2026-05-29 22:47:10 -07:00
comfyanonymousandGitHub	6e1ef2311b	Remove useless code. (#14178)	2026-05-29 16:26:46 -07:00
Jukka SeppänenandGitHub	54d5be4a8e	Fix background removal mask output shape (#14171)	2026-05-29 09:14:32 -07:00
rattusandGitHub	684296148e	float: use CK stochastic rounding cuda kernel (#13971)	2026-05-28 19:23:42 -07:00
comfyanonymousandGitHub	85a403d1ea	Disable sage attention in stable audio dit and VAE. (#14148)	2026-05-27 20:35:03 -04:00
Jukka SeppänenandGitHub	987a937658	Support context window for PiD and fix lq_latent rounding (#14136)	2026-05-27 12:08:06 -07:00
comfyanonymousandGitHub	e75a92c1b6	Add memory usage factor for lens model. (#14124)	2026-05-26 18:06:51 -07:00
comfyanonymousandGitHub	d8d860a588	Closer memory usage factors for PID (#14123)	2026-05-26 18:04:55 -07:00