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Merge branch 'master' into worksplit-multigpu
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@@ -130,7 +130,12 @@ parser.add_argument("--default-hashing-function", type=str, choices=['md5', 'sha
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parser.add_argument("--disable-smart-memory", action="store_true", help="Force ComfyUI to agressively offload to regular ram instead of keeping models in vram when it can.")
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parser.add_argument("--deterministic", action="store_true", help="Make pytorch use slower deterministic algorithms when it can. Note that this might not make images deterministic in all cases.")
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parser.add_argument("--fast", action="store_true", help="Enable some untested and potentially quality deteriorating optimizations.")
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class PerformanceFeature(enum.Enum):
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Fp16Accumulation = "fp16_accumulation"
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Fp8MatrixMultiplication = "fp8_matrix_mult"
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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")
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parser.add_argument("--dont-print-server", action="store_true", help="Don't print server output.")
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parser.add_argument("--quick-test-for-ci", action="store_true", help="Quick test for CI.")
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@@ -194,3 +199,14 @@ if args.disable_auto_launch:
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if args.force_fp16:
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args.fp16_unet = True
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# '--fast' is not provided, use an empty set
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if args.fast is None:
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args.fast = set()
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# '--fast' is provided with an empty list, enable all optimizations
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elif args.fast == []:
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args.fast = set(PerformanceFeature)
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# '--fast' is provided with a list of performance features, use that list
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else:
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args.fast = set(args.fast)
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