From 9d8a817985bb069685e440b38762f95dc834d242 Mon Sep 17 00:00:00 2001 From: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com> Date: Thu, 27 Nov 2025 14:46:12 -0800 Subject: [PATCH] Enable async offloading by default on Nvidia. (#10953) Add --disable-async-offload to disable it. If this causes OOMs that go away when you --disable-async-offload please report it. --- comfy/cli_args.py | 3 ++- comfy/model_management.py | 13 +++++++++++-- 2 files changed, 13 insertions(+), 3 deletions(-) diff --git a/comfy/cli_args.py b/comfy/cli_args.py index d2b60e347..5f0dfaa10 100644 --- a/comfy/cli_args.py +++ b/comfy/cli_args.py @@ -131,7 +131,8 @@ vram_group.add_argument("--cpu", action="store_true", help="To use the CPU for e parser.add_argument("--reserve-vram", type=float, default=None, help="Set the amount of vram in GB you want to reserve for use by your OS/other software. By default some amount is reserved depending on your OS.") -parser.add_argument("--async-offload", action="store_true", help="Use async weight offloading.") +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("--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.") diff --git a/comfy/model_management.py b/comfy/model_management.py index 9c403d580..38c506df5 100644 --- a/comfy/model_management.py +++ b/comfy/model_management.py @@ -1013,8 +1013,17 @@ def force_channels_last(): STREAMS = {} NUM_STREAMS = 0 -if args.async_offload: - NUM_STREAMS = 2 +if args.async_offload is not None: + NUM_STREAMS = args.async_offload +else: + # Enable by default on Nvidia + if is_nvidia(): + NUM_STREAMS = 2 + +if args.disable_async_offload: + NUM_STREAMS = 0 + +if NUM_STREAMS > 0: logging.info("Using async weight offloading with {} streams".format(NUM_STREAMS)) def current_stream(device):