mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-11-14 01:46:58 +08:00
torch_xla support cleanup
This commit is contained in:
radna0
parent
812ceb49e7
commit
2a66a2e6b5
@ -212,7 +212,7 @@ pip3 install --pre torch torchvision --index-url https://download.pytorch.org/wh
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pip install 'torch_xla[tpu] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev-cp310-cp310-linux_x86_64.whl' -f https://storage.googleapis.com/libtpu-releases/index.html
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```
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<!-- tell them to install tpu-info if memory info is needed -->
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To get memory info for TPU devices, install the [tpu-info](https://github.com/AI-Hypercomputer/cloud-accelerator-diagnostics/tree/main/tpu_info) package with the following command:
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```pip install tpu-info```
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@ -9,6 +9,7 @@ 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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@ -36,53 +37,170 @@ class EnumAction(argparse.Action):
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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). You can give a list of ip addresses by separating them with a comma like: 127.2.2.2,127.3.3.3 If --listen is provided without an argument, it defaults to 0.0.0.0,:: (listens on all ipv4 and ipv6)")
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parser.add_argument(
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"--listen",
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type=str,
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default="127.0.0.1",
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metavar="IP",
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nargs="?",
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const="0.0.0.0,::",
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help="Specify the IP address to listen on (default: 127.0.0.1). You can give a list of ip addresses by separating them with a comma like: 127.2.2.2,127.3.3.3 If --listen is provided without an argument, it defaults to 0.0.0.0,:: (listens on all ipv4 and ipv6)",
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)
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parser.add_argument("--port", type=int, default=8188, help="Set the listen port.")
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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")
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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")
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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("--max-upload-size", type=float, default=100, help="Set the maximum upload size in MB.")
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parser.add_argument(
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"--tls-keyfile",
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type=str,
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help="Path to TLS (SSL) key file. Enables TLS, makes app accessible at https://... requires --tls-certfile to function",
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)
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parser.add_argument(
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"--tls-certfile",
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type=str,
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help="Path to TLS (SSL) certificate file. Enables TLS, makes app accessible at https://... requires --tls-keyfile to function",
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)
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parser.add_argument(
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"--enable-cors-header",
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type=str,
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default=None,
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metavar="ORIGIN",
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nargs="?",
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const="*",
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help="Enable CORS (Cross-Origin Resource Sharing) with optional origin or allow all with default '*'.",
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)
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parser.add_argument(
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"--max-upload-size",
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type=float,
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default=100,
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help="Set the maximum upload size in MB.",
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)
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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("--temp-directory", type=str, default=None, help="Set the ComfyUI temp directory (default is in the ComfyUI directory).")
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parser.add_argument("--input-directory", type=str, default=None, help="Set the ComfyUI input 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("--disable-auto-launch", action="store_true", help="Disable auto launching the 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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parser.add_argument(
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"--extra-model-paths-config",
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type=str,
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default=None,
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metavar="PATH",
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nargs="+",
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action="append",
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help="Load one or more extra_model_paths.yaml files.",
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)
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parser.add_argument(
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"--output-directory",
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type=str,
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default=None,
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help="Set the ComfyUI output directory.",
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)
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parser.add_argument(
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"--temp-directory",
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type=str,
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default=None,
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help="Set the ComfyUI temp directory (default is in the ComfyUI directory).",
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)
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parser.add_argument(
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"--input-directory", type=str, default=None, help="Set the ComfyUI input directory."
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)
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parser.add_argument(
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"--auto-launch",
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action="store_true",
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help="Automatically launch ComfyUI in the default browser.",
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)
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parser.add_argument(
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"--disable-auto-launch",
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action="store_true",
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help="Disable auto launching the browser.",
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)
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parser.add_argument(
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"--cuda-device",
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type=int,
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default=None,
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metavar="DEVICE_ID",
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help="Set the id of the cuda device this instance will use.",
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)
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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="Disable cudaMallocAsync.")
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cm_group.add_argument(
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"--cuda-malloc",
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action="store_true",
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help="Enable cudaMallocAsync (enabled by default for torch 2.0 and up).",
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)
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cm_group.add_argument(
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"--disable-cuda-malloc", action="store_true", help="Disable cudaMallocAsync."
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)
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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(
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"--force-fp32",
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action="store_true",
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help="Force fp32 (If this makes your GPU work better please report it).",
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)
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fp_group.add_argument("--force-fp16", action="store_true", help="Force fp16.")
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fpunet_group = parser.add_mutually_exclusive_group()
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fpunet_group.add_argument("--bf16-unet", action="store_true", help="Run the UNET in bf16. This should only be used for testing stuff.")
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fpunet_group.add_argument("--fp16-unet", action="store_true", help="Store unet weights in fp16.")
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fpunet_group.add_argument("--fp8_e4m3fn-unet", action="store_true", help="Store unet weights in fp8_e4m3fn.")
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fpunet_group.add_argument("--fp8_e5m2-unet", action="store_true", help="Store unet weights in fp8_e5m2.")
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fpunet_group.add_argument(
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"--bf16-unet",
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action="store_true",
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help="Run the UNET in bf16. This should only be used for testing stuff.",
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)
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fpunet_group.add_argument(
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"--fp16-unet", action="store_true", help="Store unet weights in fp16."
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)
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fpunet_group.add_argument(
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"--fp8_e4m3fn-unet", action="store_true", help="Store unet weights in fp8_e4m3fn."
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)
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fpunet_group.add_argument(
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"--fp8_e5m2-unet", action="store_true", help="Store unet weights in fp8_e5m2."
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)
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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("--fp32-vae", action="store_true", help="Run the VAE in full precision fp32.")
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fpvae_group.add_argument(
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"--fp16-vae",
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action="store_true",
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help="Run the VAE in fp16, might cause black images.",
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)
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fpvae_group.add_argument(
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"--fp32-vae", action="store_true", help="Run the VAE in full precision fp32."
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)
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fpvae_group.add_argument("--bf16-vae", action="store_true", help="Run the VAE in bf16.")
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parser.add_argument("--cpu-vae", action="store_true", help="Run the VAE on the CPU.")
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fpte_group = parser.add_mutually_exclusive_group()
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fpte_group.add_argument("--fp8_e4m3fn-text-enc", action="store_true", help="Store text encoder weights in fp8 (e4m3fn variant).")
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fpte_group.add_argument("--fp8_e5m2-text-enc", action="store_true", help="Store text encoder weights in fp8 (e5m2 variant).")
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fpte_group.add_argument("--fp16-text-enc", action="store_true", help="Store text encoder weights in fp16.")
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fpte_group.add_argument("--fp32-text-enc", action="store_true", help="Store text encoder weights in fp32.")
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fpte_group.add_argument(
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"--fp8_e4m3fn-text-enc",
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action="store_true",
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help="Store text encoder weights in fp8 (e4m3fn variant).",
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)
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fpte_group.add_argument(
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"--fp8_e5m2-text-enc",
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action="store_true",
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help="Store text encoder weights in fp8 (e5m2 variant).",
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)
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fpte_group.add_argument(
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"--fp16-text-enc", action="store_true", help="Store text encoder weights in fp16."
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)
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fpte_group.add_argument(
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"--fp32-text-enc", action="store_true", help="Store text encoder weights in fp32."
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)
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parser.add_argument("--force-channels-last", action="store_true", help="Force channels last format when inferencing the models.")
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parser.add_argument(
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"--force-channels-last",
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action="store_true",
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help="Force channels last format when inferencing the models.",
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)
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parser.add_argument("--directml", type=int, nargs="?", metavar="DIRECTML_DEVICE", const=-1, help="Use torch-directml.")
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parser.add_argument(
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"--directml",
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type=int,
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nargs="?",
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metavar="DIRECTML_DEVICE",
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const=-1,
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help="Use torch-directml.",
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)
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parser.add_argument(
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"--disable-ipex-optimize",
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action="store_true",
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help="Disables ipex.optimize when loading models with Intel GPUs.",
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)
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parser.add_argument("--disable-ipex-optimize", action="store_true", help="Disables ipex.optimize when loading models with Intel GPUs.")
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class LatentPreviewMethod(enum.Enum):
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NoPreviews = "none"
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@ -90,56 +208,164 @@ class LatentPreviewMethod(enum.Enum):
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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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parser.add_argument("--preview-size", type=int, default=512, help="Sets the maximum preview size for sampler nodes.")
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parser.add_argument(
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"--preview-method",
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type=LatentPreviewMethod,
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default=LatentPreviewMethod.NoPreviews,
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help="Default preview method for sampler nodes.",
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action=EnumAction,
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)
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parser.add_argument(
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"--preview-size",
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type=int,
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default=512,
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help="Sets the maximum preview size for sampler nodes.",
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)
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cache_group = parser.add_mutually_exclusive_group()
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cache_group.add_argument("--cache-classic", action="store_true", help="Use the old style (aggressive) caching.")
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cache_group.add_argument("--cache-lru", type=int, default=0, help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.")
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cache_group.add_argument(
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"--cache-classic",
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action="store_true",
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help="Use the old style (aggressive) caching.",
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)
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cache_group.add_argument(
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"--cache-lru",
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type=int,
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default=0,
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help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.",
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)
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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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attn_group.add_argument(
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"--use-split-cross-attention",
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action="store_true",
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help="Use the split cross attention optimization. Ignored when xformers is used.",
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)
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attn_group.add_argument(
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"--use-quad-cross-attention",
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action="store_true",
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help="Use the sub-quadratic cross attention optimization . Ignored when xformers is used.",
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)
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attn_group.add_argument(
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"--use-pytorch-cross-attention",
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action="store_true",
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help="Use the new pytorch 2.0 cross attention function.",
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)
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parser.add_argument("--disable-xformers", action="store_true", help="Disable xformers.")
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upcast = parser.add_mutually_exclusive_group()
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upcast.add_argument("--force-upcast-attention", action="store_true", help="Force enable attention upcasting, please report if it fixes black images.")
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upcast.add_argument("--dont-upcast-attention", action="store_true", help="Disable all upcasting of attention. Should be unnecessary except for debugging.")
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upcast.add_argument(
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"--force-upcast-attention",
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action="store_true",
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help="Force enable attention upcasting, please report if it fixes black images.",
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)
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upcast.add_argument(
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"--dont-upcast-attention",
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action="store_true",
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help="Disable all upcasting of attention. Should be unnecessary except for debugging.",
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)
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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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vram_group.add_argument(
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"--gpu-only",
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action="store_true",
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help="Store and run everything (text encoders/CLIP models, etc... on the GPU).",
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)
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vram_group.add_argument(
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"--highvram",
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action="store_true",
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help="By default models will be unloaded to CPU memory after being used. This option keeps them in GPU memory.",
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)
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vram_group.add_argument(
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"--normalvram",
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action="store_true",
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help="Used to force normal vram use if lowvram gets automatically enabled.",
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)
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vram_group.add_argument(
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"--lowvram", action="store_true", help="Split the unet in parts to use less vram."
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)
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vram_group.add_argument(
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"--novram", action="store_true", help="When lowvram isn't enough."
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)
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vram_group.add_argument(
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"--cpu", action="store_true", help="To use the CPU for everything (slow)."
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)
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parser.add_argument("--reserve-vram", type=float, default=None, help="Set the amount of vram in GB you want to reserve for use by your OS/other software. By default some amount is reverved depending on your OS.")
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parser.add_argument(
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"--reserve-vram",
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type=float,
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default=None,
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help="Set the amount of vram in GB you want to reserve for use by your OS/other software. By default some amount is reverved depending on your OS.",
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)
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parser.add_argument("--default-hashing-function", type=str, choices=['md5', 'sha1', 'sha256', 'sha512'], default='sha256', help="Allows you to choose the hash function to use for duplicate filename / contents comparison. Default is sha256.")
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parser.add_argument(
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"--default-hashing-function",
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type=str,
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choices=["md5", "sha1", "sha256", "sha512"],
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default="sha256",
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help="Allows you to choose the hash function to use for duplicate filename / contents comparison. Default is sha256.",
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)
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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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parser.add_argument(
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"--disable-smart-memory",
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action="store_true",
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help="Force ComfyUI to agressively offload to regular ram instead of keeping models in vram when it can.",
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)
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parser.add_argument(
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"--deterministic",
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action="store_true",
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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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)
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parser.add_argument(
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"--fast",
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action="store_true",
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help="Enable some untested and potentially quality deteriorating optimizations.",
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)
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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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parser.add_argument(
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"--dont-print-server", action="store_true", help="Don't print server output."
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)
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parser.add_argument(
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"--quick-test-for-ci", action="store_true", help="Quick test for CI."
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)
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parser.add_argument(
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||||
"--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("--disable-all-custom-nodes", action="store_true", help="Disable loading all custom nodes.")
|
||||
parser.add_argument(
|
||||
"--disable-metadata",
|
||||
action="store_true",
|
||||
help="Disable saving prompt metadata in files.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--disable-all-custom-nodes",
|
||||
action="store_true",
|
||||
help="Disable loading all custom nodes.",
|
||||
)
|
||||
|
||||
parser.add_argument("--multi-user", action="store_true", help="Enables per-user storage.")
|
||||
parser.add_argument(
|
||||
"--multi-user", action="store_true", help="Enables per-user storage."
|
||||
)
|
||||
|
||||
parser.add_argument("--verbose", default='INFO', const='DEBUG', nargs="?", choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], help='Set the logging level')
|
||||
parser.add_argument(
|
||||
"--verbose",
|
||||
default="INFO",
|
||||
const="DEBUG",
|
||||
nargs="?",
|
||||
choices=["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"],
|
||||
help="Set the logging level",
|
||||
)
|
||||
|
||||
parser.add_argument("--xla", action="store_true", help="To use the XLA devices for everything.")
|
||||
# parser.add_argument("--xla_fsdp", action="store_true", help="To use the XLA devices with FSDP for everything.")
|
||||
parser.add_argument(
|
||||
"--xla", action="store_true", help="To use the XLA devices for everything."
|
||||
)
|
||||
|
||||
# The default built-in provider hosted under web/
|
||||
DEFAULT_VERSION_STRING = "comfyanonymous/ComfyUI@latest"
|
||||
@ -158,6 +384,7 @@ parser.add_argument(
|
||||
""",
|
||||
)
|
||||
|
||||
|
||||
def is_valid_directory(path: Optional[str]) -> Optional[str]:
|
||||
"""Validate if the given path is a directory."""
|
||||
if path is None:
|
||||
@ -167,6 +394,7 @@ def is_valid_directory(path: Optional[str]) -> Optional[str]:
|
||||
raise argparse.ArgumentTypeError(f"{path} is not a valid directory.")
|
||||
return path
|
||||
|
||||
|
||||
parser.add_argument(
|
||||
"--front-end-root",
|
||||
type=is_valid_directory,
|
||||
@ -174,7 +402,12 @@ parser.add_argument(
|
||||
help="The local filesystem path to the directory where the frontend is located. Overrides --front-end-version.",
|
||||
)
|
||||
|
||||
parser.add_argument("--user-directory", type=is_valid_directory, default=None, help="Set the ComfyUI user directory with an absolute path.")
|
||||
parser.add_argument(
|
||||
"--user-directory",
|
||||
type=is_valid_directory,
|
||||
default=None,
|
||||
help="Set the ComfyUI user directory with an absolute path.",
|
||||
)
|
||||
|
||||
if comfy.options.args_parsing:
|
||||
args = parser.parse_args()
|
||||
|
||||
@ -146,9 +146,7 @@ def prepare_callback(model, steps, x0_output_dict=None):
|
||||
pbar.update_absolute(step + 1, total_steps, preview_bytes)
|
||||
if args.xla or args.xla_fsdp:
|
||||
import torch_xla as xla
|
||||
import torch_xla.core.xla_model as xm
|
||||
|
||||
logging.info(f"Step {step + 1}/{total_steps}")
|
||||
xla.sync()
|
||||
|
||||
return callback
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user