110 lines
3.9 KiB
Python
110 lines
3.9 KiB
Python
import os
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import sys
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import ssl
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print('[System ARGV] ' + str(sys.argv))
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root = os.path.dirname(os.path.abspath(__file__))
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sys.path.append(root)
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os.chdir(root)
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os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
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os.environ["PYTORCH_MPS_HIGH_WATERMARK_RATIO"] = "0.0"
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os.environ["GRADIO_SERVER_PORT"] = "7865"
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ssl._create_default_https_context = ssl._create_unverified_context
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import platform
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import fooocus_version
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from build_launcher import build_launcher
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from modules.launch_util import is_installed, run, python, run_pip, requirements_met
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from modules.model_loader import load_file_from_url
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from modules.config import path_checkpoints, path_loras, path_vae_approx, path_fooocus_expansion, \
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checkpoint_downloads, path_embeddings, embeddings_downloads, lora_downloads
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REINSTALL_ALL = False
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TRY_INSTALL_XFORMERS = False
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def prepare_environment():
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torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu121")
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torch_command = os.environ.get('TORCH_COMMAND',
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f"pip install torch==2.1.0 torchvision==0.16.0 --extra-index-url {torch_index_url}")
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requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
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print(f"Python {sys.version}")
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print(f"Fooocus version: {fooocus_version.version}")
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if REINSTALL_ALL or not is_installed("torch") or not is_installed("torchvision"):
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run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)
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if TRY_INSTALL_XFORMERS:
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if REINSTALL_ALL or not is_installed("xformers"):
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xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20')
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if platform.system() == "Windows":
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if platform.python_version().startswith("3.10"):
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run_pip(f"install -U -I --no-deps {xformers_package}", "xformers", live=True)
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else:
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print("Installation of xformers is not supported in this version of Python.")
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print(
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"You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
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if not is_installed("xformers"):
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exit(0)
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elif platform.system() == "Linux":
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run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")
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if REINSTALL_ALL or not requirements_met(requirements_file):
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run_pip(f"install -r \"{requirements_file}\"", "requirements")
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return
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vae_approx_filenames = [
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('xlvaeapp.pth', 'https://huggingface.co/lllyasviel/misc/resolve/main/xlvaeapp.pth'),
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('vaeapp_sd15.pth', 'https://huggingface.co/lllyasviel/misc/resolve/main/vaeapp_sd15.pt'),
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('xl-to-v1_interposer-v3.1.safetensors',
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'https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors')
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]
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def download_models():
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for file_name, url in checkpoint_downloads.items():
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load_file_from_url(url=url, model_dir=path_checkpoints, file_name=file_name)
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for file_name, url in embeddings_downloads.items():
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load_file_from_url(url=url, model_dir=path_embeddings, file_name=file_name)
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for file_name, url in lora_downloads.items():
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load_file_from_url(url=url, model_dir=path_loras, file_name=file_name)
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for file_name, url in vae_approx_filenames:
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load_file_from_url(url=url, model_dir=path_vae_approx, file_name=file_name)
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load_file_from_url(
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url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin',
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model_dir=path_fooocus_expansion,
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file_name='pytorch_model.bin'
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)
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return
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def ini_args():
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from args_manager import args
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return args
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prepare_environment()
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build_launcher()
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args = ini_args()
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if args.gpu_device_id is not None:
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os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
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print("Set device to:", args.gpu_device_id)
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download_models()
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from webui import *
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