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90 lines
5.4 KiB
90 lines
5.4 KiB
import argparse |
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import enum |
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class EnumAction(argparse.Action): |
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""" |
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Argparse action for handling Enums |
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""" |
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def __init__(self, **kwargs): |
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# Pop off the type value |
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enum_type = kwargs.pop("type", None) |
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# Ensure an Enum subclass is provided |
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if enum_type is None: |
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raise ValueError("type must be assigned an Enum when using EnumAction") |
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if not issubclass(enum_type, enum.Enum): |
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raise TypeError("type must be an Enum when using EnumAction") |
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# Generate choices from the Enum |
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choices = tuple(e.value for e in enum_type) |
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kwargs.setdefault("choices", choices) |
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kwargs.setdefault("metavar", f"[{','.join(list(choices))}]") |
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super(EnumAction, self).__init__(**kwargs) |
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self._enum = enum_type |
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def __call__(self, parser, namespace, values, option_string=None): |
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# Convert value back into an Enum |
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value = self._enum(values) |
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setattr(namespace, self.dest, value) |
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parser = argparse.ArgumentParser() |
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parser.add_argument("--listen", type=str, default="127.0.0.1", metavar="IP", nargs="?", const="0.0.0.0", help="Specify the IP address to listen on (default: 127.0.0.1). If --listen is provided without an argument, it defaults to 0.0.0.0. (listens on all)") |
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parser.add_argument("--port", type=int, default=8188, help="Set the listen port.") |
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parser.add_argument("--enable-cors-header", type=str, default=None, metavar="ORIGIN", nargs="?", const="*", help="Enable CORS (Cross-Origin Resource Sharing) with optional origin or allow all with default '*'.") |
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parser.add_argument("--extra-model-paths-config", type=str, default=None, metavar="PATH", nargs='+', action='append', help="Load one or more extra_model_paths.yaml files.") |
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parser.add_argument("--output-directory", type=str, default=None, help="Set the ComfyUI output directory.") |
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parser.add_argument("--auto-launch", action="store_true", help="Automatically launch ComfyUI in the default browser.") |
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parser.add_argument("--cuda-device", type=int, default=None, metavar="DEVICE_ID", help="Set the id of the cuda device this instance will use.") |
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cm_group = parser.add_mutually_exclusive_group() |
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cm_group.add_argument("--cuda-malloc", action="store_true", help="Enable cudaMallocAsync (enabled by default for torch 2.0 and up).") |
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cm_group.add_argument("--disable-cuda-malloc", action="store_true", help="Enable cudaMallocAsync.") |
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parser.add_argument("--dont-upcast-attention", action="store_true", help="Disable upcasting of attention. Can boost speed but increase the chances of black images.") |
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fp_group = parser.add_mutually_exclusive_group() |
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fp_group.add_argument("--force-fp32", action="store_true", help="Force fp32 (If this makes your GPU work better please report it).") |
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fp_group.add_argument("--force-fp16", action="store_true", help="Force fp16.") |
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fpvae_group = parser.add_mutually_exclusive_group() |
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fpvae_group.add_argument("--fp16-vae", action="store_true", help="Run the VAE in fp16, might cause black images.") |
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fpvae_group.add_argument("--bf16-vae", action="store_true", help="Run the VAE in bf16, might lower quality.") |
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parser.add_argument("--directml", type=int, nargs="?", metavar="DIRECTML_DEVICE", const=-1, help="Use torch-directml.") |
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class LatentPreviewMethod(enum.Enum): |
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NoPreviews = "none" |
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Auto = "auto" |
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Latent2RGB = "latent2rgb" |
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TAESD = "taesd" |
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parser.add_argument("--preview-method", type=LatentPreviewMethod, default=LatentPreviewMethod.NoPreviews, help="Default preview method for sampler nodes.", action=EnumAction) |
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attn_group = parser.add_mutually_exclusive_group() |
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attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.") |
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attn_group.add_argument("--use-quad-cross-attention", action="store_true", help="Use the sub-quadratic cross attention optimization . Ignored when xformers is used.") |
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attn_group.add_argument("--use-pytorch-cross-attention", action="store_true", help="Use the new pytorch 2.0 cross attention function.") |
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parser.add_argument("--disable-xformers", action="store_true", help="Disable xformers.") |
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vram_group = parser.add_mutually_exclusive_group() |
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vram_group.add_argument("--gpu-only", action="store_true", help="Store and run everything (text encoders/CLIP models, etc... on the GPU).") |
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vram_group.add_argument("--highvram", action="store_true", help="By default models will be unloaded to CPU memory after being used. This option keeps them in GPU memory.") |
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vram_group.add_argument("--normalvram", action="store_true", help="Used to force normal vram use if lowvram gets automatically enabled.") |
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vram_group.add_argument("--lowvram", action="store_true", help="Split the unet in parts to use less vram.") |
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vram_group.add_argument("--novram", action="store_true", help="When lowvram isn't enough.") |
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vram_group.add_argument("--cpu", action="store_true", help="To use the CPU for everything (slow).") |
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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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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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args = parser.parse_args() |
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if args.windows_standalone_build: |
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args.auto_launch = True
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