import argparse import enum import comfy.options class EnumAction(argparse.Action): """ Argparse action for handling Enums """ def __init__(self, **kwargs): # Pop off the type value enum_type = kwargs.pop("type", None) # Ensure an Enum subclass is provided if enum_type is None: raise ValueError("type must be assigned an Enum when using EnumAction") if not issubclass(enum_type, enum.Enum): raise TypeError("type must be an Enum when using EnumAction") # Generate choices from the Enum choices = tuple(e.value for e in enum_type) kwargs.setdefault("choices", choices) kwargs.setdefault("metavar", f"[{','.join(list(choices))}]") super(EnumAction, self).__init__(**kwargs) self._enum = enum_type def __call__(self, parser, namespace, values, option_string=None): # Convert value back into an Enum value = self._enum(values) setattr(namespace, self.dest, value) parser = argparse.ArgumentParser() 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)") parser.add_argument("--port", type=int, default=8188, help="Set the listen port.") 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 '*'.") parser.add_argument("--max-upload-size", type=float, default=100, help="Set the maximum upload size in MB.") 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.") parser.add_argument("--output-directory", type=str, default=None, help="Set the ComfyUI output directory.") parser.add_argument("--temp-directory", type=str, default=None, help="Set the ComfyUI temp directory (default is in the ComfyUI directory).") parser.add_argument("--input-directory", type=str, default=None, help="Set the ComfyUI input directory.") parser.add_argument("--auto-launch", action="store_true", help="Automatically launch ComfyUI in the default browser.") parser.add_argument("--disable-auto-launch", action="store_true", help="Disable auto launching the browser.") parser.add_argument("--cuda-device", type=int, default=None, metavar="DEVICE_ID", help="Set the id of the cuda device this instance will use.") cm_group = parser.add_mutually_exclusive_group() cm_group.add_argument("--cuda-malloc", action="store_true", help="Enable cudaMallocAsync (enabled by default for torch 2.0 and up).") cm_group.add_argument("--disable-cuda-malloc", action="store_true", help="Disable cudaMallocAsync.") parser.add_argument("--dont-upcast-attention", action="store_true", help="Disable upcasting of attention. Can boost speed but increase the chances of black images.") fp_group = parser.add_mutually_exclusive_group() fp_group.add_argument("--force-fp32", action="store_true", help="Force fp32 (If this makes your GPU work better please report it).") fp_group.add_argument("--force-fp16", action="store_true", help="Force fp16.") fpunet_group = parser.add_mutually_exclusive_group() fpunet_group.add_argument("--bf16-unet", action="store_true", help="Run the UNET in bf16. This should only be used for testing stuff.") fpunet_group.add_argument("--fp16-unet", action="store_true", help="Store unet weights in fp16.") fpunet_group.add_argument("--fp8_e4m3fn-unet", action="store_true", help="Store unet weights in fp8_e4m3fn.") fpunet_group.add_argument("--fp8_e5m2-unet", action="store_true", help="Store unet weights in fp8_e5m2.") fpvae_group = parser.add_mutually_exclusive_group() fpvae_group.add_argument("--fp16-vae", action="store_true", help="Run the VAE in fp16, might cause black images.") fpvae_group.add_argument("--fp32-vae", action="store_true", help="Run the VAE in full precision fp32.") fpvae_group.add_argument("--bf16-vae", action="store_true", help="Run the VAE in bf16.") parser.add_argument("--cpu-vae", action="store_true", help="Run the VAE on the CPU.") fpte_group = parser.add_mutually_exclusive_group() fpte_group.add_argument("--fp8_e4m3fn-text-enc", action="store_true", help="Store text encoder weights in fp8 (e4m3fn variant).") fpte_group.add_argument("--fp8_e5m2-text-enc", action="store_true", help="Store text encoder weights in fp8 (e5m2 variant).") fpte_group.add_argument("--fp16-text-enc", action="store_true", help="Store text encoder weights in fp16.") fpte_group.add_argument("--fp32-text-enc", action="store_true", help="Store text encoder weights in fp32.") parser.add_argument("--directml", type=int, nargs="?", metavar="DIRECTML_DEVICE", const=-1, help="Use torch-directml.") parser.add_argument("--disable-ipex-optimize", action="store_true", help="Disables ipex.optimize when loading models with Intel GPUs.") class LatentPreviewMethod(enum.Enum): NoPreviews = "none" Auto = "auto" Latent2RGB = "latent2rgb" TAESD = "taesd" parser.add_argument("--preview-method", type=LatentPreviewMethod, default=LatentPreviewMethod.NoPreviews, help="Default preview method for sampler nodes.", action=EnumAction) attn_group = parser.add_mutually_exclusive_group() attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.") attn_group.add_argument("--use-quad-cross-attention", action="store_true", help="Use the sub-quadratic cross attention optimization . Ignored when xformers is used.") attn_group.add_argument("--use-pytorch-cross-attention", action="store_true", help="Use the new pytorch 2.0 cross attention function.") parser.add_argument("--disable-xformers", action="store_true", help="Disable xformers.") vram_group = parser.add_mutually_exclusive_group() vram_group.add_argument("--gpu-only", action="store_true", help="Store and run everything (text encoders/CLIP models, etc... on the GPU).") 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.") vram_group.add_argument("--normalvram", action="store_true", help="Used to force normal vram use if lowvram gets automatically enabled.") vram_group.add_argument("--lowvram", action="store_true", help="Split the unet in parts to use less vram.") vram_group.add_argument("--novram", action="store_true", help="When lowvram isn't enough.") vram_group.add_argument("--cpu", action="store_true", help="To use the CPU for everything (slow).") 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.") 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.") 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).") parser.add_argument("--disable-metadata", action="store_true", help="Disable saving prompt metadata in files.") parser.add_argument("--multi-user", action="store_true", help="Enables per-user storage.") parser.add_argument("--verbose", action="store_true", help="Enables more debug prints.") if comfy.options.args_parsing: args = parser.parse_args() else: args = parser.parse_args([]) if args.windows_standalone_build: args.auto_launch = True if args.disable_auto_launch: args.auto_launch = False import logging logging_level = logging.INFO if args.verbose: logging_level = logging.DEBUG logging.basicConfig(format="%(message)s", level=logging_level)