rattus 2a4328d639 ace15: Use dynamic_vram friendly trange (#12409) ... Factor out the ksampler trange and use it in ACE LLM to prevent the silent stall at 0 and rate distortion due to first-step model load.		2026-02-11 14:53:42 -05:00
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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
extra_samplers
image_encoders
k_diffusion
ldm
sd1_tokenizer
t2i_adapter
taesd
text_encoders	ace15: Use dynamic_vram friendly trange (#12409)	2026-02-11 14:53:42 -05:00
weight_adapter	[Trainer] training with proper offloading (#12189)	2026-02-10 21:45:19 -05:00
checkpoint_pickle.py
cli_args.py
clip_config_bigg.json
clip_model.py
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
clip_vision_siglip_384.json
clip_vision_siglip_512.json
clip_vision.py
conds.py
context_windows.py
controlnet.py
diffusers_convert.py
diffusers_load.py
float.py
gligen.py
hooks.py
latent_formats.py
lora_convert.py
lora.py
memory_management.py
model_base.py
model_detection.py
model_management.py
model_patcher.py
model_sampling.py
nested_tensor.py
ops.py
options.py
patcher_extension.py
pinned_memory.py
pixel_space_convert.py
quant_ops.py
rmsnorm.py
sample.py
sampler_helpers.py
samplers.py
sd1_clip_config.json
sd1_clip.py
sd.py
sdxl_clip.py
supported_models_base.py
supported_models.py
utils.py
windows.py