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cli_args: Default comfy to DynamicVram mode (#12658)
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rattus 2026-02-28 13:52:30 -08:00 committed by GitHub
parent 5f41584e96
commit 48bb0bd18a
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2 changed files with 3 additions and 3 deletions
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4
comfy/cli_args.py
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@ -146,6 +146,7 @@ parser.add_argument("--reserve-vram", type=float, default=None, help="Set the am
parser.add_argument("--async-offload", nargs='?', const=2, type=int, default=None, metavar="NUM_STREAMS", help="Use async weight offloading. An optional argument controls the amount of offload streams. Default is 2. Enabled by default on Nvidia.") parser.add_argument("--async-offload", nargs='?', const=2, type=int, default=None, metavar="NUM_STREAMS", help="Use async weight offloading. An optional argument controls the amount of offload streams. Default is 2. Enabled by default on Nvidia.")
parser.add_argument("--disable-async-offload", action="store_true", help="Disable async weight offloading.") parser.add_argument("--disable-async-offload", action="store_true", help="Disable async weight offloading.")
parser.add_argument("--disable-dynamic-vram", action="store_true", help="Disable dynamic VRAM and use estimate based model loading.")
parser.add_argument("--force-non-blocking", action="store_true", help="Force ComfyUI to use non-blocking operations for all applicable tensors. This may improve performance on some non-Nvidia systems but can cause issues with some workflows.") parser.add_argument("--force-non-blocking", action="store_true", help="Force ComfyUI to use non-blocking operations for all applicable tensors. This may improve performance on some non-Nvidia systems but can cause issues with some workflows.")
@ -159,7 +160,6 @@ class PerformanceFeature(enum.Enum):
Fp8MatrixMultiplication = "fp8_matrix_mult" Fp8MatrixMultiplication = "fp8_matrix_mult"
CublasOps = "cublas_ops" CublasOps = "cublas_ops"
AutoTune = "autotune" AutoTune = "autotune"
DynamicVRAM = "dynamic_vram"
parser.add_argument("--fast", nargs="*", type=PerformanceFeature, help="Enable some untested and potentially quality deteriorating optimizations. This is used to test new features so using it might crash your comfyui. --fast with no arguments enables everything. You can pass a list specific optimizations if you only want to enable specific ones. Current valid optimizations: {}".format(" ".join(map(lambda c: c.value, PerformanceFeature)))) parser.add_argument("--fast", nargs="*", type=PerformanceFeature, help="Enable some untested and potentially quality deteriorating optimizations. This is used to test new features so using it might crash your comfyui. --fast with no arguments enables everything. You can pass a list specific optimizations if you only want to enable specific ones. Current valid optimizations: {}".format(" ".join(map(lambda c: c.value, PerformanceFeature))))
@ -260,4 +260,4 @@ else:
args.fast = set(args.fast) args.fast = set(args.fast)
def enables_dynamic_vram(): def enables_dynamic_vram():
return PerformanceFeature.DynamicVRAM in args.fast and not args.highvram and not args.gpu_only return not args.disable_dynamic_vram and not args.highvram and not args.gpu_only and not args.novram and not args.cpu

2
main.py
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@ -192,7 +192,7 @@ import hook_breaker_ac10a0
import comfy.memory_management import comfy.memory_management
import comfy.model_patcher import comfy.model_patcher
if enables_dynamic_vram(): if enables_dynamic_vram() and comfy.model_management.is_nvidia():
if comfy.model_management.torch_version_numeric < (2, 8): if comfy.model_management.torch_version_numeric < (2, 8):
logging.warning("Unsupported Pytorch detected. DynamicVRAM support requires Pytorch version 2.8 or later. Falling back to legacy ModelPatcher. VRAM estimates may be unreliable especially on Windows") logging.warning("Unsupported Pytorch detected. DynamicVRAM support requires Pytorch version 2.8 or later. Falling back to legacy ModelPatcher. VRAM estimates may be unreliable especially on Windows")
elif comfy_aimdo.control.init_device(comfy.model_management.get_torch_device().index): elif comfy_aimdo.control.init_device(comfy.model_management.get_torch_device().index):