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| 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("--tls-keyfile", type=str, help="Path to TLS (SSL) key file. Enables TLS, makes app accessible at https://... requires --tls-certfile to function") | |
| parser.add_argument("--tls-certfile", type=str, help="Path to TLS (SSL) certificate file. Enables TLS, makes app accessible at https://... requires --tls-keyfile to function") | |
| 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.") | |
| 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("--force-channels-last", action="store_true", help="Force channels last format when inferencing the models.") | |
| 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.") | |
| upcast = parser.add_mutually_exclusive_group() | |
| upcast.add_argument("--force-upcast-attention", action="store_true", help="Force enable attention upcasting, please report if it fixes black images.") | |
| upcast.add_argument("--dont-upcast-attention", action="store_true", help="Disable all upcasting of attention. Should be unnecessary except for debugging.") | |
| 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) | |