mirror of
https://github.com/invoke-ai/InvokeAI
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379 lines
11 KiB
Python
379 lines
11 KiB
Python
# Copyright 2023 Lincoln D. Stein and the InvokeAI Team
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import argparse
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import shlex
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from argparse import ArgumentParser
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# note that this includes both old sampler names and new scheduler names
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# in order to be able to parse both 2.0 and 3.0-pre-nodes versions of invokeai.init
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SAMPLER_CHOICES = [
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"ddim",
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"ddpm",
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"deis",
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"lms",
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"lms_k",
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"pndm",
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"heun",
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"heun_k",
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"euler",
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"euler_k",
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"euler_a",
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"kdpm_2",
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"kdpm_2_a",
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"dpmpp_2s",
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"dpmpp_2s_k",
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"dpmpp_2m",
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"dpmpp_2m_k",
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"dpmpp_2m_sde",
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"dpmpp_2m_sde_k",
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"dpmpp_sde",
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"dpmpp_sde_k",
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"unipc",
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"k_dpm_2_a",
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"k_dpm_2",
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"k_dpmpp_2_a",
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"k_dpmpp_2",
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"k_euler_a",
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"k_euler",
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"k_heun",
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"k_lms",
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"plms",
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]
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PRECISION_CHOICES = [
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"auto",
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"float32",
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"autocast",
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"float16",
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]
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class FileArgumentParser(ArgumentParser):
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"""
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Supports reading defaults from an init file.
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"""
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def convert_arg_line_to_args(self, arg_line):
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return shlex.split(arg_line, comments=True)
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legacy_parser = FileArgumentParser(
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description="""
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Generate images using Stable Diffusion.
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Use --web to launch the web interface.
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Use --from_file to load prompts from a file path or standard input ("-").
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Otherwise you will be dropped into an interactive command prompt (type -h for help.)
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Other command-line arguments are defaults that can usually be overridden
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prompt the command prompt.
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""",
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fromfile_prefix_chars="@",
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)
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general_group = legacy_parser.add_argument_group("General")
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model_group = legacy_parser.add_argument_group("Model selection")
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file_group = legacy_parser.add_argument_group("Input/output")
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web_server_group = legacy_parser.add_argument_group("Web server")
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render_group = legacy_parser.add_argument_group("Rendering")
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postprocessing_group = legacy_parser.add_argument_group("Postprocessing")
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deprecated_group = legacy_parser.add_argument_group("Deprecated options")
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deprecated_group.add_argument("--laion400m")
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deprecated_group.add_argument("--weights") # deprecated
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general_group.add_argument("--version", "-V", action="store_true", help="Print InvokeAI version number")
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model_group.add_argument(
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"--root_dir",
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default=None,
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help='Path to directory containing "models", "outputs" and "configs". If not present will read from environment variable INVOKEAI_ROOT. Defaults to ~/invokeai.',
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)
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model_group.add_argument(
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"--config",
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"-c",
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"-config",
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dest="conf",
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default="./configs/models.yaml",
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help="Path to configuration file for alternate models.",
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)
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model_group.add_argument(
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"--model",
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help='Indicates which diffusion model to load (defaults to "default" stanza in configs/models.yaml)',
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)
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model_group.add_argument(
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"--weight_dirs",
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nargs="+",
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type=str,
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help="List of one or more directories that will be auto-scanned for new model weights to import",
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)
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model_group.add_argument(
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"--png_compression",
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"-z",
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type=int,
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default=6,
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choices=range(0, 9),
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dest="png_compression",
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help="level of PNG compression, from 0 (none) to 9 (maximum). Default is 6.",
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)
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model_group.add_argument(
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"-F",
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"--full_precision",
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dest="full_precision",
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action="store_true",
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help="Deprecated way to set --precision=float32",
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)
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model_group.add_argument(
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"--max_loaded_models",
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dest="max_loaded_models",
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type=int,
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default=2,
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help="Maximum number of models to keep in memory for fast switching, including the one in GPU",
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)
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model_group.add_argument(
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"--free_gpu_mem",
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dest="free_gpu_mem",
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action="store_true",
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help="Force free gpu memory before final decoding",
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)
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model_group.add_argument(
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"--sequential_guidance",
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dest="sequential_guidance",
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action="store_true",
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help="Calculate guidance in serial instead of in parallel, lowering memory requirement " "at the expense of speed",
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)
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model_group.add_argument(
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"--xformers",
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action=argparse.BooleanOptionalAction,
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default=True,
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help="Enable/disable xformers support (default enabled if installed)",
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)
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model_group.add_argument(
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"--always_use_cpu", dest="always_use_cpu", action="store_true", help="Force use of CPU even if GPU is available"
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)
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model_group.add_argument(
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"--precision",
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dest="precision",
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type=str,
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choices=PRECISION_CHOICES,
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metavar="PRECISION",
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help=f'Set model precision. Defaults to auto selected based on device. Options: {", ".join(PRECISION_CHOICES)}',
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default="auto",
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)
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model_group.add_argument(
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"--ckpt_convert",
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action=argparse.BooleanOptionalAction,
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dest="ckpt_convert",
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default=True,
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help="Deprecated option. Legacy ckpt files are now always converted to diffusers when loaded.",
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)
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model_group.add_argument(
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"--internet",
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action=argparse.BooleanOptionalAction,
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dest="internet_available",
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default=True,
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help="Indicate whether internet is available for just-in-time model downloading (default: probe automatically).",
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)
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model_group.add_argument(
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"--nsfw_checker",
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"--safety_checker",
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action=argparse.BooleanOptionalAction,
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dest="safety_checker",
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default=False,
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help="Check for and blur potentially NSFW images. Use --no-nsfw_checker to disable.",
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)
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model_group.add_argument(
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"--autoimport",
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default=None,
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type=str,
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help="Check the indicated directory for .ckpt/.safetensors weights files at startup and import directly",
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)
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model_group.add_argument(
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"--autoconvert",
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default=None,
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type=str,
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help="Check the indicated directory for .ckpt/.safetensors weights files at startup and import as optimized diffuser models",
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)
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model_group.add_argument(
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"--patchmatch",
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action=argparse.BooleanOptionalAction,
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default=True,
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help="Load the patchmatch extension for outpainting. Use --no-patchmatch to disable.",
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)
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file_group.add_argument(
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"--from_file",
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dest="infile",
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type=str,
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help="If specified, load prompts from this file",
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)
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file_group.add_argument(
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"--outdir",
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"-o",
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type=str,
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help="Directory to save generated images and a log of prompts and seeds. Default: ROOTDIR/outputs",
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default="outputs",
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)
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file_group.add_argument(
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"--prompt_as_dir",
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"-p",
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action="store_true",
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help="Place images in subdirectories named after the prompt.",
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)
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render_group.add_argument(
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"--fnformat",
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default="{prefix}.{seed}.png",
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type=str,
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help="Overwrite the filename format. You can use any argument as wildcard enclosed in curly braces. Default is {prefix}.{seed}.png",
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)
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render_group.add_argument("-s", "--steps", type=int, default=50, help="Number of steps")
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render_group.add_argument(
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"-W",
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"--width",
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type=int,
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help="Image width, multiple of 64",
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)
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render_group.add_argument(
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"-H",
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"--height",
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type=int,
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help="Image height, multiple of 64",
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)
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render_group.add_argument(
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"-C",
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"--cfg_scale",
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default=7.5,
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type=float,
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help='Classifier free guidance (CFG) scale - higher numbers cause generator to "try" harder.',
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)
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render_group.add_argument(
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"--sampler",
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"-A",
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"-m",
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dest="sampler_name",
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type=str,
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choices=SAMPLER_CHOICES,
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metavar="SAMPLER_NAME",
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help=f'Set the default sampler. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
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default="k_lms",
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)
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render_group.add_argument(
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"--log_tokenization", "-t", action="store_true", help="shows how the prompt is split into tokens"
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)
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render_group.add_argument(
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"-f",
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"--strength",
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type=float,
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help="img2img strength for noising/unnoising. 0.0 preserves image exactly, 1.0 replaces it completely",
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)
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render_group.add_argument(
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"-T",
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"-fit",
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"--fit",
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action=argparse.BooleanOptionalAction,
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help="If specified, will resize the input image to fit within the dimensions of width x height (512x512 default)",
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)
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render_group.add_argument("--grid", "-g", action=argparse.BooleanOptionalAction, help="generate a grid")
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render_group.add_argument(
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"--embedding_directory",
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"--embedding_path",
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dest="embedding_path",
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default="embeddings",
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type=str,
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help="Path to a directory containing .bin and/or .pt files, or a single .bin/.pt file. You may use subdirectories. (default is ROOTDIR/embeddings)",
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)
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render_group.add_argument(
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"--lora_directory",
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dest="lora_path",
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default="loras",
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type=str,
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help="Path to a directory containing LoRA files; subdirectories are not supported. (default is ROOTDIR/loras)",
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)
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render_group.add_argument(
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"--embeddings",
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action=argparse.BooleanOptionalAction,
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default=True,
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help="Enable embedding directory (default). Use --no-embeddings to disable.",
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)
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render_group.add_argument("--enable_image_debugging", action="store_true", help="Generates debugging image to display")
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render_group.add_argument(
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"--karras_max",
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type=int,
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default=None,
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help="control the point at which the K* samplers will shift from using the Karras noise schedule (good for low step counts) to the LatentDiffusion noise schedule (good for high step counts). Set to 0 to use LatentDiffusion for all step values, and to a high value (e.g. 1000) to use Karras for all step values. [29].",
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)
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# Restoration related args
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postprocessing_group.add_argument(
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"--no_restore",
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dest="restore",
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action="store_false",
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help="Disable face restoration with GFPGAN or codeformer",
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)
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postprocessing_group.add_argument(
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"--no_upscale",
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dest="esrgan",
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action="store_false",
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help="Disable upscaling with ESRGAN",
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)
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postprocessing_group.add_argument(
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"--esrgan_bg_tile",
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type=int,
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default=400,
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help="Tile size for background sampler, 0 for no tile during testing. Default: 400.",
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)
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postprocessing_group.add_argument(
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"--esrgan_denoise_str",
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type=float,
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default=0.75,
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help="esrgan denoise str. 0 is no denoise, 1 is max denoise. Default: 0.75",
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)
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postprocessing_group.add_argument(
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"--gfpgan_model_path",
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type=str,
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default="./models/gfpgan/GFPGANv1.4.pth",
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help="Indicates the path to the GFPGAN model",
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)
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web_server_group.add_argument(
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"--web",
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dest="web",
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action="store_true",
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help="Start in web server mode.",
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)
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web_server_group.add_argument(
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"--web_develop",
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dest="web_develop",
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action="store_true",
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help="Start in web server development mode.",
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)
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web_server_group.add_argument(
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"--web_verbose",
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action="store_true",
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help="Enables verbose logging",
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)
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web_server_group.add_argument(
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"--cors",
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nargs="*",
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type=str,
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help="Additional allowed origins, comma-separated",
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)
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web_server_group.add_argument(
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"--host",
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type=str,
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default="127.0.0.1",
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help="Web server: Host or IP to listen on. Set to 0.0.0.0 to accept traffic from other devices on your network.",
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)
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web_server_group.add_argument("--port", type=int, default="9090", help="Web server: Port to listen on")
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web_server_group.add_argument(
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"--certfile",
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type=str,
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default=None,
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help="Web server: Path to certificate file to use for SSL. Use together with --keyfile",
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)
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web_server_group.add_argument(
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"--keyfile",
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type=str,
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default=None,
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help="Web server: Path to private key file to use for SSL. Use together with --certfile",
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)
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web_server_group.add_argument(
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"--gui",
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dest="gui",
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action="store_true",
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help="Start InvokeAI GUI",
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)
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