mirrors/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-09-10 11:35:40 +00:00
Code Issues Packages Projects Releases Wiki Activity

Remove _register_core_attention_functions, as we wouldn't want someone to call that, just in case

Browse Source
This commit is contained in:
Jedrzej Kosinski
2025-08-30 14:49:04 -07:00
parent eaa9433ff8
commit c092b8a4ac
1 changed files with 13 additions and 16 deletions
Download Patch File Download Diff File Expand all files Collapse all files

29
comfy/ldm/modules/attention.py
View File

@@ -60,21 +60,6 @@ def get_attention_function(name: str, default: Any=...) -> Union[Callable, None]
return default
return REGISTERED_ATTENTION_FUNCTIONS[name]
def _register_core_attention_functions():
"""
Register attention functions exposed by core ComfyUI.
"""
# NOTE: attention_basic is purposely not registered, as it should not be used
if SAGE_ATTENTION_IS_AVAILABLE:
register_attention_function("sage", attention_sage)
if FLASH_ATTENTION_IS_AVAILABLE:
register_attention_function("flash", attention_flash)
if model_management.xformers_enabled():
register_attention_function("xformers", attention_xformers)
register_attention_function("pytorch", attention_pytorch)
register_attention_function("sub_quad", attention_sub_quad)
register_attention_function("split", attention_split)
from comfy.cli_args import args
import comfy.ops
ops = comfy.ops.disable_weight_init
@@ -657,10 +642,22 @@ else:
else:
logging.info("Using sub quadratic optimization for attention, if you have memory or speed issues try using: --use-split-cross-attention")
optimized_attention = attention_sub_quad
_register_core_attention_functions()
optimized_attention_masked = optimized_attention
# register core-supported attention functions
if SAGE_ATTENTION_IS_AVAILABLE:
register_attention_function("sage", attention_sage)
if FLASH_ATTENTION_IS_AVAILABLE:
register_attention_function("flash", attention_flash)
if model_management.xformers_enabled():
register_attention_function("xformers", attention_xformers)
register_attention_function("pytorch", attention_pytorch)
register_attention_function("sub_quad", attention_sub_quad)
register_attention_function("split", attention_split)
def optimized_attention_for_device(device, mask=False, small_input=False):
if small_input:
if model_management.pytorch_attention_enabled():