..
audio_encoders
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
cldm
comfy_types
Add support for dev-only nodes. ( #12106 )
2026-01-27 13:03:29 -08:00
extra_samplers
image_encoders
k_diffusion
ace15: Use dynamic_vram friendly trange ( #12409 )
2026-02-11 14:53:42 -05:00
ldm
Make built in lora training work on anima. ( #12402 )
2026-02-10 22:04:32 -05:00
sd1_tokenizer
t2i_adapter
taesd
Support LTX2 tiny vae (taeltx_2) ( #11929 )
2026-01-21 23:03:51 -05:00
text_encoders
llama: use a more efficient rope implementation ( #12434 )
2026-02-12 19:56:42 -05:00
weight_adapter
[Trainer] training with proper offloading ( #12189 )
2026-02-10 21:45:19 -05:00
checkpoint_pickle.py
cli_args.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
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
context_windows.py
Add handling for vace_context in context windows ( #11386 )
2025-12-30 14:40:42 -08:00
controlnet.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
diffusers_convert.py
diffusers_load.py
float.py
Optimize nvfp4 lora applying. ( #11866 )
2026-01-14 00:49:38 -05:00
gligen.py
hooks.py
New Year ruff cleanup. ( #11595 )
2026-01-01 22:06:14 -05:00
latent_formats.py
Basic support for the ace step 1.5 model. ( #12237 )
2026-02-03 00:06:18 -05:00
lora_convert.py
lora.py
Support ace step 1.5 base model loras. ( #12252 )
2026-02-03 13:54:23 -05:00
memory_management.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
model_base.py
Make built in lora training work on anima. ( #12402 )
2026-02-10 22:04:32 -05:00
model_detection.py
Basic support for the ace step 1.5 model. ( #12237 )
2026-02-03 00:06:18 -05:00
model_management.py
dynamic_vram: Fix windows Aimdo crash + Fix LLM performance ( #12408 )
2026-02-11 14:50:16 -05:00
model_patcher.py
ModelPatcherDynamic: force load non leaf weights ( #12433 )
2026-02-12 19:51:50 -05:00
model_sampling.py
nested_tensor.py
ops.py
dynamic_vram: Fix windows Aimdo crash + Fix LLM performance ( #12408 )
2026-02-11 14:50:16 -05:00
options.py
patcher_extension.py
pinned_memory.py
fix pinning with model defined dtype ( #12208 )
2026-02-01 08:42:32 -08:00
pixel_space_convert.py
quant_ops.py
Optimize nvfp4 lora applying. ( #11866 )
2026-01-14 00:49:38 -05:00
rmsnorm.py
sample.py
Make regular empty latent node work properly on flux 2 variants. ( #12050 )
2026-01-23 19:50:48 -05:00
sampler_helpers.py
[Trainer] training with proper offloading ( #12189 )
2026-02-10 21:45:19 -05:00
samplers.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
sd1_clip_config.json
sd1_clip.py
Basic support for the ace step 1.5 model. ( #12237 )
2026-02-03 00:06:18 -05:00
sd.py
sd: delay VAE dtype archive until after override ( #12388 )
2026-02-10 13:37:46 -05:00
sdxl_clip.py
supported_models_base.py
supported_models.py
Some fixes to previous pr. ( #12339 )
2026-02-06 20:14:52 -05:00
utils.py
ace15: Use dynamic_vram friendly trange ( #12409 )
2026-02-11 14:53:42 -05:00
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