rattus fabed694a2 ltx: vae: implement chunked encoder + CPU IO chunking (Big VRAM reductions) (#13062) ... * ltx: vae: add cache state to downsample block * ltx: vae: Add time stride awareness to causal_conv_3d * ltx: vae: Automate truncation for encoder Other VAEs just truncate without error. Do the same. * sd/ltx: Make chunked_io a flag in its own right Taking this bi-direcitonal, so make it a for-purpose named flag. * ltx: vae: implement chunked encoder + CPU IO chunking People are doing things with big frame counts in LTX including V2V flows. Implement the time-chunked encoder to keep the VRAM down, with the converse of the new CPU pre-allocation technique, where the chunks are brought from the CPU JIT. * ltx: vae-encode: round chunk sizes more strictly Only powers of 2 and multiple of 8 are valid due to cache slicing.		2026-03-19 09:58:47 -07:00
..
audio_encoders	Fix fp16 audio encoder models (#12811)	2026-03-06 18:20:07 -05:00
cldm
comfy_types	fix: use frontend-compatible format for Float gradient_stops (#12789)	2026-03-12 10:14:28 -07:00
extra_samplers
image_encoders
k_diffusion	ace15: Use dynamic_vram friendly trange (#12409)	2026-02-11 14:53:42 -05:00
ldm	ltx: vae: implement chunked encoder + CPU IO chunking (Big VRAM reductions) (#13062)	2026-03-19 09:58:47 -07:00
sd1_tokenizer
t2i_adapter
taesd	Support LTX2 tiny vae (taeltx_2) (#11929)	2026-01-21 23:03:51 -05:00
text_encoders	Support the LTXAV 2.3 model. (#12773)	2026-03-04 20:06:20 -05:00
weight_adapter	MPDynamic: force load flux img_in weight (Fixes flux1 canny+depth lora crash) (#12446)	2026-02-15 20:30:09 -05:00
cli_args.py	Add --enable-dynamic-vram options to force enable it. (#13002)	2026-03-16 16:50:13 -04:00
clip_config_bigg.json
clip_model.py	Support the siglip 2 naflex model as a clip vision model. (#11831)	2026-01-12 17:05:54 -05:00
clip_vision_config_g.json
clip_vision_config_h.json
clip_vision_config_vitl_336_llava.json
clip_vision_config_vitl_336.json
clip_vision_config_vitl.json
clip_vision_siglip2_base_naflex.json	Support the siglip 2 naflex model as a clip vision model. (#11831)	2026-01-12 17:05:54 -05:00
clip_vision_siglip_384.json
clip_vision_siglip_512.json
clip_vision.py	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
conds.py	Cleanups to the last PR. (#12646)	2026-02-26 01:30:31 -05:00
context_windows.py	fix: handle substep sigmas in context window set_step (#12719)	2026-03-01 09:38:30 -08:00
controlnet.py	Add working Qwen 2512 ControlNet (Fun ControlNet) support (#12359)	2026-02-13 22:23:52 -05:00
diffusers_convert.py
diffusers_load.py
float.py	feat: Support mxfp8 (#12907)	2026-03-14 18:36:29 -04:00
gligen.py
hooks.py
latent_formats.py	Feat: z-image pixel space (model still training atm) (#12709)	2026-03-02 19:43:47 -05:00
lora_convert.py	Use torch RMSNorm for flux models and refactor hunyuan video code. (#12432)	2026-02-13 15:35:13 -05:00
lora.py	Fix text encoder lora loading for wrapped models (#12852)	2026-03-09 16:08:51 -04:00
memory_management.py	comfy aimdo 0.2.11 + Improved RAM Pressure release strategies - Windows speedups (#12925)	2026-03-13 22:18:08 -04:00
model_base.py	Support the LTXAV 2.3 model. (#12773)	2026-03-04 20:06:20 -05:00
model_detection.py	model_detection: deep clone pre edited edited weights (#12862)	2026-03-09 23:50:10 -04:00
model_management.py	fix: run text encoders on MPS GPU instead of CPU for Apple Silicon (#12809)	2026-03-17 21:21:32 -04:00
model_patcher.py	comfy aimdo 0.2.11 + Improved RAM Pressure release strategies - Windows speedups (#12925)	2026-03-13 22:18:08 -04:00
model_sampling.py	initial FlowRVS support (#12637)	2026-02-25 23:38:46 -05:00
nested_tensor.py
ops.py	[Trainer] FP4, 8, 16 training by native dtype support and quant linear autograd function (#12681)	2026-03-16 21:31:50 -04:00
options.py
patcher_extension.py
pinned_memory.py	comfy aimdo 0.2.11 + Improved RAM Pressure release strategies - Windows speedups (#12925)	2026-03-13 22:18:08 -04:00
pixel_space_convert.py
quant_ops.py	feat: Support mxfp8 (#12907)	2026-03-14 18:36:29 -04:00
rmsnorm.py	Remove code to support RMSNorm on old pytorch. (#12499)	2026-02-16 20:09:24 -05:00
sample.py	Make more intermediate values follow the intermediate dtype. (#13051)	2026-03-18 18:14:18 -04:00
sampler_helpers.py	Disable dynamic_vram when weight hooks applied (#12653)	2026-02-28 16:50:18 -05:00
samplers.py	Disable dynamic_vram when weight hooks applied (#12653)	2026-02-28 16:50:18 -05:00
sd1_clip_config.json
sd1_clip.py	fp16 intermediates doen't work for some text enc models. (#13056)	2026-03-18 19:42:28 -04:00
sd.py	ltx: vae: implement chunked encoder + CPU IO chunking (Big VRAM reductions) (#13062)	2026-03-19 09:58:47 -07:00
sdxl_clip.py
supported_models_base.py
supported_models.py	Adjust memory usage factor of zeta model. (#12746)	2026-03-03 17:35:22 -05:00
utils.py	Fix potential issue. (#13009)	2026-03-16 21:38:40 -04:00
windows.py	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