wangbo/ComfyUI
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Merge branch 'master' into dr-support-pip-cm

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Dr.Lt.Data 2025-10-19 09:37:12 +09:00
commit 7d5e73ea94
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2
README.md
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@ -197,7 +197,7 @@ comfy install
## Manual Install (Windows, Linux) ## Manual Install (Windows, Linux)
Python 3.14 will work if you comment out the `kornia` dependency in the requirements.txt file (breaks the canny node) and install pytorch nightly but it is not recommended. Python 3.14 will work if you comment out the `kornia` dependency in the requirements.txt file (breaks the canny node) but it is not recommended.
Python 3.13 is very well supported. If you have trouble with some custom node dependencies on 3.13 you can try 3.12 Python 3.13 is very well supported. If you have trouble with some custom node dependencies on 3.13 you can try 3.12

4
comfy/ops.py
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@ -25,6 +25,9 @@ import comfy.rmsnorm
import contextlib import contextlib
def run_every_op(): def run_every_op():
if torch.compiler.is_compiling():
return
comfy.model_management.throw_exception_if_processing_interrupted() comfy.model_management.throw_exception_if_processing_interrupted()
def scaled_dot_product_attention(q, k, v, *args, **kwargs): def scaled_dot_product_attention(q, k, v, *args, **kwargs):
@ -70,6 +73,7 @@ if torch.cuda.is_available() and torch.backends.cudnn.is_available() and Perform
def cast_to_input(weight, input, non_blocking=False, copy=True): def cast_to_input(weight, input, non_blocking=False, copy=True):
return comfy.model_management.cast_to(weight, input.dtype, input.device, non_blocking=non_blocking, copy=copy) return comfy.model_management.cast_to(weight, input.dtype, input.device, non_blocking=non_blocking, copy=copy)
@torch.compiler.disable()
def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None): def cast_bias_weight(s, input=None, dtype=None, device=None, bias_dtype=None):
if input is not None: if input is not None:
if dtype is None: if dtype is None: