launch.py

import os
import ssl
import sys

print("[System ARGV] " + str(sys.argv))

root = os.path.dirname(os.path.abspath(__file__))
sys.path.append(root)
os.chdir(root)

os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
os.environ["PYTORCH_MPS_HIGH_WATERMARK_RATIO"] = "0.0"
os.environ["GRADIO_SERVER_PORT"] = "7865"

ssl._create_default_https_context = ssl._create_unverified_context


import platform

import fooocus_version
from build_launcher import build_launcher
from modules.config import (
    checkpoint_downloads,
    embeddings_downloads,
    lora_downloads,
    path_checkpoints,
    path_embeddings,
    path_fooocus_expansion,
    path_loras,
    path_vae_approx,
)
from modules.launch_util import is_installed, python, requirements_met, run, run_pip
from modules.model_loader import load_file_from_url

REINSTALL_ALL = False
TRY_INSTALL_XFORMERS = False


def prepare_environment():
    torch_index_url = os.environ.get(
        "TORCH_INDEX_URL", "https://download.pytorch.org/whl/cu121"
    )
    torch_command = os.environ.get(
        "TORCH_COMMAND",
        f"pip install torch==2.1.0 torchvision==0.16.0 --extra-index-url {torch_index_url}",
    )
    requirements_file = os.environ.get("REQS_FILE", "requirements_versions.txt")

    print(f"Python {sys.version}")
    print(f"Fooocus version: {fooocus_version.version}")

    if REINSTALL_ALL or not is_installed("torch") or not is_installed("torchvision"):
        run(
            f'"{python}" -m {torch_command}',
            "Installing torch and torchvision",
            "Couldn't install torch",
            live=True,
        )

    if TRY_INSTALL_XFORMERS:
        if REINSTALL_ALL or not is_installed("xformers"):
            xformers_package = os.environ.get("XFORMERS_PACKAGE", "xformers==0.0.20")
            if platform.system() == "Windows":
                if platform.python_version().startswith("3.10"):
                    run_pip(
                        f"install -U -I --no-deps {xformers_package}",
                        "xformers",
                        live=True,
                    )
                else:
                    print(
                        "Installation of xformers is not supported in this version of Python."
                    )
                    print(
                        "You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness"
                    )
                    if not is_installed("xformers"):
                        exit(0)
            elif platform.system() == "Linux":
                run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")

    if REINSTALL_ALL or not requirements_met(requirements_file):
        run_pip(f'install -r "{requirements_file}"', "requirements")

    return


vae_approx_filenames = [
    (
        "xlvaeapp.pth",
        "https://huggingface.co/lllyasviel/misc/resolve/main/xlvaeapp.pth",
    ),
    (
        "vaeapp_sd15.pth",
        "https://huggingface.co/lllyasviel/misc/resolve/main/vaeapp_sd15.pt",
    ),
    (
        "xl-to-v1_interposer-v3.1.safetensors",
        "https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors",
    ),
]


def download_models():
    for file_name, url in checkpoint_downloads.items():
        load_file_from_url(url=url, model_dir=path_checkpoints, file_name=file_name)
    for file_name, url in embeddings_downloads.items():
        load_file_from_url(url=url, model_dir=path_embeddings, file_name=file_name)
    for file_name, url in lora_downloads.items():
        load_file_from_url(url=url, model_dir=path_loras, file_name=file_name)
    for file_name, url in vae_approx_filenames:
        load_file_from_url(url=url, model_dir=path_vae_approx, file_name=file_name)

    load_file_from_url(
        url="https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin",
        model_dir=path_fooocus_expansion,
        file_name="pytorch_model.bin",
    )

    return


prepare_environment()
build_launcher()


download_models()

from webui import *