import os import sys import platform from modules.launch_util import commit_hash, fooocus_tag, is_installed, run, python, \ run_pip, repo_dir, git_clone, requirements_met, script_path, dir_repos from modules.model_loader import load_file_from_url from modules.path import modelfile_path REINSTALL_ALL = False def prepare_environment(): torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu118") torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url {torch_index_url}") requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt") xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20') comfy_repo = os.environ.get('COMFY_REPO', "https://github.com/comfyanonymous/ComfyUI") comfy_commit_hash = os.environ.get('COMFY_COMMIT_HASH', "5ac96897e9782805cd5e8fe85bd98ad03eae2b6f") commit = commit_hash() tag = fooocus_tag print(f"Python {sys.version}") print(f"Version: {tag}") print(f"Commit hash: {commit}") comfyui_name = 'ComfyUI-from-StabilityAI-Official' git_clone(comfy_repo, repo_dir(comfyui_name), "Inference Engine", comfy_commit_hash) sys.path.append(os.path.join(script_path, dir_repos, comfyui_name)) 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 REINSTALL_ALL or not is_installed("xformers"): 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 model_filenames = [ ('sd_xl_base_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors'), ('sd_xl_refiner_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors') ] def download_models(): for file_name, url in model_filenames: load_file_from_url(url=url, model_dir=modelfile_path, file_name=file_name) return prepare_environment() download_models() from webui import *