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Running
on
A10G
Running
on
A10G
| from typing import NamedTuple | |
| import argparse | |
| import os | |
| class Args(NamedTuple): | |
| host: str | |
| port: int | |
| reload: bool | |
| mode: str | |
| max_queue_size: int | |
| timeout: float | |
| safety_checker: bool | |
| torch_compile: bool | |
| use_taesd: bool | |
| pipeline: str | |
| MAX_QUEUE_SIZE = int(os.environ.get("MAX_QUEUE_SIZE", 0)) | |
| TIMEOUT = float(os.environ.get("TIMEOUT", 0)) | |
| SAFETY_CHECKER = os.environ.get("SAFETY_CHECKER", None) == "True" | |
| TORCH_COMPILE = os.environ.get("TORCH_COMPILE", None) == "True" | |
| USE_TAESD = os.environ.get("USE_TAESD", None) == "True" | |
| default_host = os.getenv("HOST", "0.0.0.0") | |
| default_port = int(os.getenv("PORT", "7860")) | |
| default_mode = os.getenv("MODE", "default") | |
| parser = argparse.ArgumentParser(description="Run the app") | |
| parser.add_argument("--host", type=str, default=default_host, help="Host address") | |
| parser.add_argument("--port", type=int, default=default_port, help="Port number") | |
| parser.add_argument("--reload", action="store_true", help="Reload code on change") | |
| parser.add_argument( | |
| "--mode", type=str, default=default_mode, help="App Inferece Mode: txt2img, img2img" | |
| ) | |
| parser.add_argument( | |
| "--max_queue_size", type=int, default=MAX_QUEUE_SIZE, help="Max Queue Size" | |
| ) | |
| parser.add_argument("--timeout", type=float, default=TIMEOUT, help="Timeout") | |
| parser.add_argument( | |
| "--safety_checker", type=bool, default=SAFETY_CHECKER, help="Safety Checker" | |
| ) | |
| parser.add_argument( | |
| "--torch_compile", type=bool, default=TORCH_COMPILE, help="Torch Compile" | |
| ) | |
| parser.add_argument( | |
| "--use_taesd", | |
| type=bool, | |
| default=USE_TAESD, | |
| help="Use Tiny Autoencoder", | |
| ) | |
| parser.add_argument( | |
| "--pipeline", | |
| type=str, | |
| default="txt2img", | |
| help="Pipeline to use", | |
| ) | |
| args = Args(**vars(parser.parse_args())) | |