2305 Commits

Include renames

Author	SHA1	Message	Date
comfyanonymousandGitHub	039955c527	Some fixes to previous pr. (#12339)	2026-02-06 20:14:52 -05:00
tdrussellandGitHub	6a26328842	Support fp16 for Cosmos-Predict2 and Anima (#12249)	2026-02-06 20:12:15 -05:00
comfyanonymousandGitHub	204e65b8dc	Fix bug with last pr (#12338)	2026-02-06 19:48:20 -05:00
asagi4andGitHub	a831c19b70	Fix return_word_ids=True with Anima tokenizer (#12328)	2026-02-06 19:38:04 -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	458292fef0	Fix some lowvram stuff with ace step 1.5 (#12312)	2026-02-05 19:15:04 -05:00
comfyanonymousandGitHub	6555dc65b8	Make ace step 1.5 work without the llm. (#12311)	2026-02-05 16:43:45 -05:00
comfyanonymousandGitHub	35183543e0	Add VAE tiled decode node for audio. (#12299)	2026-02-05 01:12:04 -05:00
bleppingandGitHub	a246cc02b2	Improvements to ACE-Steps 1.5 text encoding (#12283)	2026-02-05 00:17:37 -05:00
comfyanonymousandGitHub	a50c32d63f	Disable sage attention on ace step 1.5 (#12297)	2026-02-04 22:15:30 -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	c8fcbd66ee	Try to fix ace text encoder slowness on some configs. (#12290)	2026-02-04 19:37:05 -05:00
comfyanonymousandGitHub	26dd7eb421	Fix ace step nan issue on some hardware/pytorch configs. (#12289)	2026-02-04 18:25:06 -05:00
rattusandGitHub	ef73070ea4	mp: Fix checkpoint saving (#12268) ... Fix regression in the recent model saving refactor. Pass the non unet pieces down the layers so that checkpoints are complete.	2026-02-04 02:08:45 -05:00
rattusandGitHub	d30c609f5a	utils: safetensors: dont slice data on torch level (#12266) ... Torch has alignment enforcement when viewing with data type changes but only relative to itself. Do all tensor constructions straight off the memory-view individually so pytorch doesnt see an alignment problem. The is needed for handling misaligned safetensors weights, which are reasonably common in third party models. This limits usage of this safetensors loader to GPU compute only as CPUs kernnel are very likely to bus error. But it works for dynamic_vram, where we really dont want to take a deep copy and we always use GPU copy_ which disentangles the misalignment.	2026-02-04 01:48:47 -05:00
comfyanonymousandGitHub	a31681564d	Fix crash with ace step 1.5 (#12264)	2026-02-04 00:03:21 -05:00
rattusandGitHub	855849c658	mm: Remove Aimdo exemption for empty_cache (#12260) ... Its more important to get the torch caching allocator GC up and running than supporting the pyt2.7 bug. Switch it on. Defeature dynamic_vram + pyt2.7.	2026-02-03 21:39:19 -05:00
comfyanonymousandGitHub	fe2511468d	Support the 4B ace step 1.5 lm model. (#12257) ... Can be used as an alternative to the 1.7B	2026-02-03 19:01:38 -05:00
comfyanonymousandGitHub	b8315e66cb	Fix tiled vae for ace step 1.5 (#12253)	2026-02-03 14:40:45 -05:00
comfyanonymousandGitHub	ab1050bec3	Support ace step 1.5 base model loras. (#12252)	2026-02-03 13:54:23 -05:00
comfyanonymousandGitHub	85fc35e8fa	Fix mac issue. (#12250)	2026-02-03 12:19:39 -05:00
3 people	223364743c	llama: cast logits as a comfy-weight (#12248) ... This is using a different layers weight with .to(). Change it to use the ops caster if the original layer is a comfy weight so that it picks up dynamic_vram and async_offload functionality in full. Co-authored-by: Rattus <rattus128@gmail.com>	2026-02-03 11:31:36 -05:00
comfyanonymousandGitHub	affe881354	Fix some issues with mac. (#12247)	2026-02-03 11:07:04 -05:00
comfyanonymousandGitHub	f5030e26fd	Add progress bar to ace step. (#12242)	2026-02-03 04:09:30 -05:00
comfyanonymousandGitHub	3c1a1a2df8	Basic support for the ace step 1.5 model. (#12237)	2026-02-03 00:06:18 -05:00
comfyanonymousandGitHub	c05a08ae66	Add back function. (#12234)	2026-02-02 19:52:07 -05:00
rattusandGitHub	de9ada6a41	Dynamic VRAM unloading fix (#12227) ... * mp: fix full dynamic unloading This was not unloading dynamic models when requesting a full unload via the unpatch() code path. This was ok, i your workflow was all dynamic models but fails with big VRAM leaks if you need to fully unload something for a regular ModelPatcher It also fices the "unload models" button. * mm: load models outside of Aimdo Mempool In dynamic_vram mode, escape the Aimdo mempool and load into the regular mempool. Use a dummy thread to do it.	2026-02-02 17:35:20 -05:00
rattusandGitHub	37f711d4a1	mm: Fix cast buffers with intel offloading (#12229) ... Intel has offloading support but there were some nvidia calls in the new cast buffer stuff.	2026-02-02 17:34:46 -05:00
comfyanonymousandGitHub	dd86b15521	Enable embeddings for some qwen 3 models. (#12218)	2026-02-02 03:51:09 -05:00
comfyanonymousandGitHub	021ba20719	Fix issue with parameters on root model object. (#12216)	2026-02-01 20:12:52 -05:00
rattusandGitHub	2b5da3b72e	dynamic_vram: silence pytorch buffer warning (#12210) ... This is log clutter and concerning to users. Its a false alarm.	2026-02-01 20:09:55 -05:00
rattusandGitHub	794d05bdb1	dynamic_vram: respect argument cast dtypes in non-comfy weights (#12209) ... This function has a dtype argument that allows the caller to set the dtype in the cast. TIL Some models override this on weight casts, which means its the highest priority. Priority scheme is: argument > model dtype > state dict dtype	2026-02-01 20:09:21 -05:00
rattusandGitHub	361b9a82a3	fix pinning with model defined dtype (#12208) ... pinned memory was converted back to pinning the CPU side weight without any changes. Fix the pinner to use the CPU weight and not the model defined geometry. This will either save RAM or stop buffer overruns when the types mismatch. Fix the model defined weight caster to use the [ s.weight, s.bias ] interpretation, as xfer_dest might be the flattened pin now. Fix the detection of needing to cast to not be conditional on !pin.	2026-02-01 08:42:32 -08:00
comfyanonymousandGitHub	667a1b8878	Fix some custom nodes breaking. (#12203)	2026-02-01 01:55:18 -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
comfyanonymousandGitHub	873de5f37a	KV cache implementation for using llama models for text generation. (#12195)	2026-01-31 21:11:11 -05:00
comfyanonymousandGitHub	b8f848bfe3	Fix model not working with any res. (#12186)	2026-01-31 00:12:48 -05:00
comfyanonymousandGitHub	c9b633d84f	Add missing spacial downscale ratios. (#12146)	2026-01-28 20:52:51 -05:00
guillandGitHub	dcff27fe3f	Add support for dev-only nodes. (#12106) ... When a node is declared as dev-only, it doesn't show in the default UI unless the dev mode is enabled in the settings. The intention is to allow nodes related to unit testing to be included in ComfyUI distributions without confusing the average user.	2026-01-27 13:03:29 -08:00
rattusandGitHub	6516ab335d	wan-vae: Switch off feature cache for single frame (#12090) ... The code throughout is None safe to just skip the feature cache saving step if none. Set it none in single frame use so qwen doesn't burn VRAM on the unused cache.	2026-01-26 19:40:19 -05:00
comfyanonymousandGitHub	2129e7d278	Fix mistral 3 tokenizer code failing on latest transformers version and other breakage. (#12095) ... * Fix mistral 3 tokenizer code failing on latest transformers version. * Add requests to the requirements	2026-01-26 11:39:00 -05:00
Kohaku-BlueleafandGitHub	a97c98068f	[Weight-adapter/Trainer] Bypass forward mode in Weight adapter system (#11958) ... * Add API of bypass forward module * bypass implementation * add bypass fwd into nodes list/trainer	2026-01-24 22:56:22 -05:00
comfyanonymousandGitHub	635406e283	Only enable fp16 on z image models that actually support it. (#12065)	2026-01-24 22:32:28 -05:00
comfyanonymousandGitHub	aef4e13588	Make empty latent node work with other models. (#12062)	2026-01-24 19:23:20 -05:00
rattusandGitHub	4e6a1b66a9	speed up and reduce VRAM of QWEN VAE and WAN (less so) (#12036) ... * ops: introduce autopad for conv3d This works around pytorch missing ability to causal pad as part of the kernel and avoids massive weight duplications for padding. * wan-vae: rework causal padding This currently uses F.pad which takes a full deep copy and is liable to be the VRAM peak. Instead, kick spatial padding back to the op and consolidate the temporal padding with the cat for the cache. * wan-vae: implement zero pad fast path The WAN VAE is also QWEN where it is used single-image. These convolutions are however zero padded 3d convolutions, which means the VAE is actually just 2D down the last element of the conv weight in the temporal dimension. Fast path this, to avoid adding zeros that then just evaporate in convoluton math but cost computation.	2026-01-23 19:56:14 -05:00
comfyanonymousandGitHub	9cf299a9f9	Make regular empty latent node work properly on flux 2 variants. (#12050)	2026-01-23 19:50:48 -05:00
ComfyUI WikiandGitHub	e89b22993a	Support ModelScope-Trainer/DiffSynth LoRA format for Flux.2 Klein models (#12042)	2026-01-23 15:27:49 -05:00
Jukka SeppänenandGitHub	55bd606e92	LTX2: Refactor forward function for better VRAM efficiency and fix spatial inpainting (#12046) ... * Disable timestep embed compression when inpainting Spatial inpainting not compatible with the compression * Reduce crossattn peak VRAM * LTX2: Refactor forward function for better VRAM efficiency	2026-01-23 15:26:38 -05:00
Omri MaromandGitHub	d7f3241bf6	qwen_image: propagate attention mask. (#11966)	2026-01-22 20:02:31 -05:00