2188 Commits

Author	SHA1	Message	Date
azazeal04	4c654d1d50	Merge branch 'master' into master	2026-05-01 12:27:56 +02:00
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
azazeal04	801243b73c	Merge branch 'master' into master	2026-04-25 13:14:31 +02:00
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
azazeal04	c232e313f8	Merge branch 'master' into master	2026-04-21 07:41:31 +02:00
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
Bedovyy	b41ab53b6f	Use ErnieTEModel_ not ErnieTEModel. (#13431)	2026-04-16 10:11:58 -04:00
Jun Yamog	1de83f91c3	Fix OOM regression in _apply() for quantized models during inference (#13372) ... Skip unnecessary clone of inference-mode tensors when already inside torch.inference_mode(), matching the existing guard in set_attr_param. The unconditional clone introduced in 20561aa9 caused transient VRAM doubling during model movement for FP8/quantized models.	2026-04-15 02:10:36 -07:00
comfyanonymous	cb0bbde402	Fix ernie on devices that don't support fp64. (#13414)	2026-04-14 22:54:47 -04:00
comfyanonymous	722bc73319	Make text generation work with ministral model. (#13395) ... Needs template before it works properly.	2026-04-13 20:43:57 -04:00
comfyanonymous	402ff1cdb7	Fix issue with ernie image. (#13393)	2026-04-13 16:38:42 -04:00
comfyanonymous	c2657d5fb9	Fix typo. (#13382)	2026-04-12 23:37:13 -04:00
comfyanonymous	31283d2892	Implement Ernie Image model. (#13369)	2026-04-11 22:29:31 -04:00
comfyanonymous	55ebd287ee	Add a supports_fp64 function. (#13368)	2026-04-11 21:06:36 -04:00
Jukka Seppänen	a134423890	SDPose: resize input always (#13349)	2026-04-10 11:26:55 -10:00
huemin	b615af1c65	Add support for small flux.2 decoder (#13314)	2026-04-07 03:44:18 -04:00
comfyanonymous	40862c0776	Support Ace Step 1.5 XL model. (#13317)	2026-04-07 03:13:47 -04:00
azazeal04	49fef1697c	Replace empty tensor initialization with zeros	2026-04-04 20:21:27 +02:00
azazeal04	5d119f0532	Implement allow_fp16 configuration in model detection ... Add logic to set allow_fp16 based on weight standard deviation	2026-04-04 20:09:10 +02:00
azazeal04	b2e08bb963	Avoid overwriting existing keys in state_dict ... Prevent overwriting existing keys when mapping t_embedder_2 keys to t_embedder.	2026-04-04 20:05:17 +02:00
azazeal04	6965b83a2a	Fix condition and update transformer_options handling	2026-04-04 19:57:37 +02:00
azazeal04	479536e34d	Prevent overwriting existing keys in state_dict ... Ensure new key is added only if it doesn't exist.	2026-04-04 19:45:05 +02:00
azazeal04	a73ac772b5	Fix key mapping for t_embedder compatibility ... Ensure compatibility by mapping keys for t_embedder.	2026-04-04 19:42:55 +02:00
azazeal04	5f041f4e5e	Refactor time embedding and projection layers	2026-04-04 19:38:55 +02:00
azazeal04	de2ff57f3c	Implement _compute_twinflow_adaln method ... Added a method to compute TwinFlow adaLN input with delta-time conditioning.	2026-04-04 18:49:19 +02:00
azazeal04	4fe75dcce8	Add configuration for TwinFlow-Z-Image model	2026-04-04 17:23:46 +02:00
azazeal04	fec629ba3d	Implement twinflow_z_image function	2026-04-04 16:09:22 +02:00
azazeal04	e978c61a79	Implement twinflow_z_image_key_mapping function ... Add twinflow_z_image_key_mapping function for key mapping.	2026-04-04 16:06:41 +02:00
azazeal04	b76510b549	Add TwinFlow_Z_Image model to supported models	2026-04-04 16:03:52 +02:00
azazeal04	dc413071ff	Add functions to check and extract TwinFlow-Z-Image config	2026-04-04 15:59:50 +02:00
azazeal04	84c983a779	Add detection for TwinFlow-Z-Image checkpoints	2026-04-04 15:57:19 +02:00
azazeal04	21ed4a2242	Add TwinFlow_Z_Image class to model_base.py ... Added TwinFlow_Z_Image class for new model integration.	2026-04-04 15:55:09 +02:00
azazeal04	02b5222dcc	Add twinflow_z_image_lora_to_diffusers function	2026-04-04 15:51:35 +02:00
azazeal04	00c4e72a97	Implement TwinFlow-Z-Image LoRA compatibility ... Add compatibility for TwinFlow-Z-Image LoRAs to target t_embedder_2.* keys.	2026-04-04 15:49:32 +02:00
comfyanonymous	0c63b4f6e3	Remove dead code. (#13251)	2026-04-01 20:22:06 -04:00
comfyanonymous	e2ddf28d78	Fix some fp8 scaled checkpoints no longer working. (#13239)	2026-03-31 14:27:17 -07:00
rattus	8d723d2caa	Fix/tweak pinned memory accounting (#13221) ... * mm: Lower windows pin threshold Some workflows have more extranous use of shared GPU memory than is accounted for in the 5% pin headroom. Lower this for safety. * mm: Remove pin count clearing threshold. TOTAL_PINNED_MEMORY is shared between the legacy and aimdo pinning systems, however this catch-all assumes only the legacy system exists. Remove the catch-all as the PINNED_MEMORY buffer is coherent already.	2026-03-29 16:43:24 -07:00