mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
165 lines
6.5 KiB
Python
165 lines
6.5 KiB
Python
# this scripts installs necessary requirements and launches main program in webui.py
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import subprocess
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import os
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import sys
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import importlib.util
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import shlex
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import platform
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dir_repos = "repositories"
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dir_tmp = "tmp"
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python = sys.executable
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git = os.environ.get('GIT', "git")
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torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113")
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requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
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commandline_args = os.environ.get('COMMANDLINE_ARGS', "")
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gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")
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clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1")
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stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc")
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taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
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k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "f4e99857772fc3a126ba886aadf795a332774878")
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codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
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blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
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args = shlex.split(commandline_args)
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def extract_arg(args, name):
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return [x for x in args if x != name], name in args
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args, skip_torch_cuda_test = extract_arg(args, '--skip-torch-cuda-test')
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xformers = '--xformers' in args
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deepdanbooru = '--deepdanbooru' in args
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def repo_dir(name):
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return os.path.join(dir_repos, name)
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def run(command, desc=None, errdesc=None):
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if desc is not None:
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print(desc)
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result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
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if result.returncode != 0:
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message = f"""{errdesc or 'Error running command'}.
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Command: {command}
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Error code: {result.returncode}
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stdout: {result.stdout.decode(encoding="utf8", errors="ignore") if len(result.stdout)>0 else '<empty>'}
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stderr: {result.stderr.decode(encoding="utf8", errors="ignore") if len(result.stderr)>0 else '<empty>'}
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"""
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raise RuntimeError(message)
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return result.stdout.decode(encoding="utf8", errors="ignore")
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def run_python(code, desc=None, errdesc=None):
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return run(f'"{python}" -c "{code}"', desc, errdesc)
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def run_pip(args, desc=None):
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return run(f'"{python}" -m pip {args} --prefer-binary', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}")
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def check_run(command):
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result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
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return result.returncode == 0
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def check_run_python(code):
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return check_run(f'"{python}" -c "{code}"')
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def is_installed(package):
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try:
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spec = importlib.util.find_spec(package)
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except ModuleNotFoundError:
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return False
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return spec is not None
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def git_clone(url, dir, name, commithash=None):
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# TODO clone into temporary dir and move if successful
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if os.path.exists(dir):
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if commithash is None:
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return
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current_hash = run(f'"{git}" -C {dir} rev-parse HEAD', None, f"Couldn't determine {name}'s hash: {commithash}").strip()
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if current_hash == commithash:
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return
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run(f'"{git}" -C {dir} fetch', f"Fetching updates for {name}...", f"Couldn't fetch {name}")
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run(f'"{git}" -C {dir} checkout {commithash}', f"Checking out commint for {name} with hash: {commithash}...", f"Couldn't checkout commit {commithash} for {name}")
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return
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run(f'"{git}" clone "{url}" "{dir}"', f"Cloning {name} into {dir}...", f"Couldn't clone {name}")
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if commithash is not None:
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run(f'"{git}" -C {dir} checkout {commithash}', None, "Couldn't checkout {name}'s hash: {commithash}")
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try:
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commit = run(f"{git} rev-parse HEAD").strip()
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except Exception:
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commit = "<none>"
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print(f"Python {sys.version}")
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print(f"Commit hash: {commit}")
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if 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")
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if not skip_torch_cuda_test:
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run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")
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if not is_installed("gfpgan"):
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run_pip(f"install {gfpgan_package}", "gfpgan")
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if not is_installed("clip"):
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run_pip(f"install {clip_package}", "clip")
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if not is_installed("xformers") and xformers and platform.python_version().startswith("3.10"):
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if platform.system() == "Windows":
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run_pip("install https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/a/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl", "xformers")
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elif platform.system() == "Linux":
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run_pip("install xformers", "xformers")
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if not is_installed("deepdanbooru") and deepdanbooru:
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run_pip("install git+https://github.com/KichangKim/DeepDanbooru.git@edf73df4cdaeea2cf00e9ac08bd8a9026b7a7b26#egg=deepdanbooru[tensorflow] tensorflow==2.10.0 tensorflow-io==0.27.0", "deepdanbooru")
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os.makedirs(dir_repos, exist_ok=True)
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git_clone("https://github.com/CompVis/stable-diffusion.git", repo_dir('stable-diffusion'), "Stable Diffusion", stable_diffusion_commit_hash)
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git_clone("https://github.com/CompVis/taming-transformers.git", repo_dir('taming-transformers'), "Taming Transformers", taming_transformers_commit_hash)
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git_clone("https://github.com/crowsonkb/k-diffusion.git", repo_dir('k-diffusion'), "K-diffusion", k_diffusion_commit_hash)
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git_clone("https://github.com/sczhou/CodeFormer.git", repo_dir('CodeFormer'), "CodeFormer", codeformer_commit_hash)
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git_clone("https://github.com/salesforce/BLIP.git", repo_dir('BLIP'), "BLIP", blip_commit_hash)
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if not is_installed("lpips"):
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run_pip(f"install -r {os.path.join(repo_dir('CodeFormer'), 'requirements.txt')}", "requirements for CodeFormer")
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run_pip(f"install -r {requirements_file}", "requirements for Web UI")
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sys.argv += args
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if "--exit" in args:
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print("Exiting because of --exit argument")
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exit(0)
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def start_webui():
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print(f"Launching Web UI with arguments: {' '.join(sys.argv[1:])}")
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import webui
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webui.webui()
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if __name__ == "__main__":
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start_webui()
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