235 Commits

Include renames

Author	SHA1	Message	Date
silveroxides	64ed140c89	Implement reference latent support for Krea 2 model	2026-06-23 22:03:06 +02:00
Jukka SeppänenandGitHub	2a61015582	feat: Support Krea2 (#14589)	2026-06-22 14:35:00 -07:00
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
Jukka SeppänenandGitHub	e25c391888	feat: Support Boogu-Image (CORE-308) (#14523)	2026-06-17 14:22:36 -07:00
Jukka SeppänenandGitHub	a590d60bb1	feat: SCAIL-2 multireference (CORE-310) (#14509) ... * SCAIl-2: support multiref	2026-06-17 16:21:23 +03:00
Barish OzbayandGitHub	91187c58d9	Improve context window resizing for SCAIL2 (CORE-286) (#14394)	2026-06-11 13:37:43 +08:00
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
Jukka SeppänenandGitHub	184009c2f6	feat: Add model support for SCAIL-2 (#14373) ... * initial SCAIL2 support	2026-06-09 18:24:09 +03:00
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
Jukka SeppänenandGitHub	24f9a020ce	Support Ideogram4 (#14259)	2026-06-03 08:41:44 -07:00
Jukka SeppänenandGitHub	462c27fdb2	feat: Add TripoSplat support (#14210)	2026-06-01 07:01:50 -07:00
Jukka SeppänenandGitHub	987a937658	Support context window for PiD and fix lq_latent rounding (#14136)	2026-05-27 12:08:06 -07:00
Jukka SeppänenandGitHub	28f4ef277c	feat: Support NVIDIA PixelDiT and PiD (CORE-201) (#14103)	2026-05-26 17:50:14 -07:00
Jukka SeppänenandGitHub	41812fa0ac	feat: Microsoft Lens support (CORE-248) (#14077)	2026-05-25 23:01:51 -07:00
comfyanonymousandGitHub	f9c84c94b4	Support Stable Audio 3 model. (#14010)	2026-05-20 11:34:22 -04:00
Jukka SeppänenandGitHub	971c9e3518	HiDream-O1: support area conditioning (#13944)	2026-05-18 01:17:05 -04:00
Jukka SeppänenandGitHub	8e53f001a4	feat: Support HiDream-O1-Image (CORE-187) (#13817) ... * Initial HiDream01-image support * Cleanup nodes * Cleaner handling of empty placeholder models * Remove snap_to_predefined, prefer tooltip for the trained resolutions * Add model and block wrappers * Fix shift tooltip * Add node to work around the patch tile issue Experimental, runs multiple passes with the patch grid offset and blends with various different methods. * Qwen35 vision rotary_pos_emb cast fix * Fix embedding layout type * Some small optimizations * Cleanup, don't need this fallback * Prefix KV cache, cleanup Bit of speed, reduce redundant code * Get rid of redundant custom sampler, refactor noise scaling Our existing lcm sampler is mathematically same, just added the missing options to it instead and a node to control them. Refactored the noise scaling and fix it for the stochastic samplers, add a generic node to control the initial noise scale. * Update nodes_hidream_o1.py * Fix some cache validation cases * Keep existing sampling params * Remove redundant video vision path * Replace some numpy ops with torch * Fx RoPE index for batch size > 1 * Prefer torch preprocessing * Rename block_type to be compatible with existing patch nodes * Fixes and tweaks	2026-05-11 20:35:53 -07:00
3 people	3200f28e3a	Support Wan-Dancer (#13813) ... * initial WanDancer support * nodes_wandancer: Add list form of chunker. Create an alternate list form of the node so the chunk gens can be trivially looped by the comfy executor. * Closer match to original soxr resampling * Remove librosa node * Cleanup --------- Co-authored-by: Rattus <rattus128@gmail.com>	2026-05-09 14:02:56 -07:00
TalmajandGitHub	fed8d5efa6	feat: Auto-regressive video generation (CORE-25) (#13082)	2026-05-04 21:01:22 -07:00
rattusandGitHub	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
4 people	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 SeppänenandGitHub	749d5b4e8d	feat: SAM (segment anything) 3.1 support (CORE-34) (#13408)	2026-04-23 00:07:43 -04:00
OctopusandGitHub	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
comfyanonymousandGitHub	31283d2892	Implement Ernie Image model. (#13369)	2026-04-11 22:29:31 -04:00
Jukka SeppänenandGitHub	a500f1edac	CORE-13 feat: Support RT-DETRv4 detection model (#12748)	2026-03-28 23:34:10 -04:00
comfyanonymousandGitHub	3a56201da5	Allow flux conditioning without a pooled output. (#13198)	2026-03-27 20:36:26 -04:00
Jukka SeppänenandGitHub	e87858e974	feat: LTX2: Support reference audio (ID-LoRA) (#13111)	2026-03-23 18:22:24 -04:00
TalmajandGitHub	d49420b3c7	LongCat-Image edit (#13003)	2026-03-21 23:51:05 -04:00
Jedrzej KosinskiandGitHub	87cda1fc25	Move inline comfy.context_windows imports to top-level in model_base.py (#13083) ... The recent PR that added resize_cond_for_context_window methods to model classes used inline 'import comfy.context_windows' in each method body. This moves that import to the top-level import section, replacing 4 duplicate inline imports with a single top-level one.	2026-03-20 20:03:42 -04:00
drozbayandGitHub	589228e671	Add slice_cond and per-model context window cond resizing (#12645) ... * Add slice_cond and per-model context window cond resizing * Fix cond_value.size() call in context window cond resizing * Expose additional advanced inputs for ContextWindowsManualNode Necessary for WanAnimate context windows workflow, which needs cond_retain_index_list = 0 to work properly with its reference input. ---------	2026-03-19 20:42:42 -07:00
comfyanonymousandGitHub	43c64b6308	Support the LTXAV 2.3 model. (#12773)	2026-03-04 20:06:20 -05:00
3 people	9ebee0a217	Feat: z-image pixel space (model still training atm) (#12709) ... * draft zeta (z-image pixel space) * revert gitignore * model loaded and able to run however vector direction still wrong tho * flip the vector direction to original again this time * Move wrongly positioned Z image pixel space class * inherit Radiance LatentFormat class * Fix parameters in classes for Zeta x0 dino * remove arbitrary nn.init instances * Remove unused import of lru_cache --------- Co-authored-by: silveroxides <ishimarukaito@gmail.com>	2026-03-02 19:43:47 -05:00
Jukka SeppänenandGitHub	1f6744162f	feat: Support SCAIL WanVideo model (#12614)	2026-02-28 16:49:12 -05:00
TalmajandGitHub	ac4412d0fa	Native LongCat-Image implementation (#12597)	2026-02-27 23:04:34 -05:00
comfyanonymousandGitHub	8a4d85c708	Cleanups to the last PR. (#12646)	2026-02-26 01:30:31 -05:00
Tavi HalperinandGitHub	a4522017c5	feat: per-guide attention strength control in self-attention (#12518) ... Implements per-guide attention attenuation via log-space additive bias in self-attention. Each guide reference tracks its own strength and optional spatial mask in conditioning metadata (guide_attention_entries).	2026-02-26 01:25:23 -05:00
Jukka SeppänenandGitHub	907e5dcbbf	initial FlowRVS support (#12637)	2026-02-25 23:38:46 -05:00
comfyanonymousandGitHub	f266b8d352	Move LTXAV av embedding connectors to diffusion model. (#12569)	2026-02-21 22:29:58 -05:00
comfyanonymousandGitHub	c39653163d	Fix anima preprocess text embeds not using right inference dtype. (#12501)	2026-02-17 00:29:20 -05:00
comfyanonymousandGitHub	76a7fa96db	Make built in lora training work on anima. (#12402)	2026-02-10 22:04:32 -05:00
comfyanonymousandGitHub	17e7df43d1	Pad ace step 1.5 ref audio if not long enough. (#12341)	2026-02-07 00:02:11 -05:00
comfyanonymousandGitHub	eba6c940fd	Make ace step 1.5 base model work properly with default workflow. (#12337)	2026-02-06 19:14:56 -05:00
comfyanonymousandGitHub	c2d7f07dbf	Fix issue when using disable_unet_model_creation (#12315)	2026-02-05 19:24:09 -05:00
comfyanonymousandGitHub	6555dc65b8	Make ace step 1.5 work without the llm. (#12311)	2026-02-05 16:43:45 -05:00
comfyanonymousandGitHub	6125b80979	Add llm sampling options and make reference audio work on ace step 1.5 (#12295)	2026-02-04 21:29:22 -05:00
comfyanonymousandGitHub	3c1a1a2df8	Basic support for the ace step 1.5 model. (#12237)	2026-02-03 00:06:18 -05:00
rattusandGitHub	f8acd9c402	Reduce RAM usage, fix VRAM OOMs, and fix Windows shared memory spilling with adaptive model loading (#11845)	2026-02-01 01:01:11 -05:00
Omri MaromandGitHub	d7f3241bf6	qwen_image: propagate attention mask. (#11966)	2026-01-22 20:02:31 -05:00