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Merged
merged 1 commit into from
May 9, 2025
Merged

[pull] master from comfyanonymous:master #48

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2 changes: 2 additions & 0 deletions comfy/cli_args.py
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Expand Up @@ -142,6 +142,8 @@ class PerformanceFeature(enum.Enum):

parser.add_argument("--fast", nargs="*", type=PerformanceFeature, help="Enable some untested and potentially quality deteriorating optimizations. --fast with no arguments enables everything. You can pass a list specific optimizations if you only want to enable specific ones. Current valid optimizations: fp16_accumulation fp8_matrix_mult cublas_ops")

parser.add_argument("--mmap-torch-files", action="store_true", help="Use mmap when loading ckpt/pt files.")

parser.add_argument("--dont-print-server", action="store_true", help="Don't print server output.")
parser.add_argument("--quick-test-for-ci", action="store_true", help="Quick test for CI.")
parser.add_argument("--windows-standalone-build", action="store_true", help="Windows standalone build: Enable convenient things that most people using the standalone windows build will probably enjoy (like auto opening the page on startup).")
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9 changes: 8 additions & 1 deletion comfy/utils.py
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Expand Up @@ -28,6 +28,9 @@
import itertools
from torch.nn.functional import interpolate
from einops import rearrange
from comfy.cli_args import args

MMAP_TORCH_FILES = args.mmap_torch_files

ALWAYS_SAFE_LOAD = False
if hasattr(torch.serialization, "add_safe_globals"): # TODO: this was added in pytorch 2.4, the unsafe path should be removed once earlier versions are deprecated
Expand Down Expand Up @@ -67,8 +70,12 @@ def load_torch_file(ckpt, safe_load=False, device=None, return_metadata=False):
raise ValueError("{}\n\nFile path: {}\n\nThe safetensors file is corrupt/incomplete. Check the file size and make sure you have copied/downloaded it correctly.".format(message, ckpt))
raise e
else:
torch_args = {}
if MMAP_TORCH_FILES:
torch_args["mmap"] = True

if safe_load or ALWAYS_SAFE_LOAD:
pl_sd = torch.load(ckpt, map_location=device, weights_only=True)
pl_sd = torch.load(ckpt, map_location=device, weights_only=True, **torch_args)
else:
pl_sd = torch.load(ckpt, map_location=device, pickle_module=comfy.checkpoint_pickle)
if "global_step" in pl_sd:
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