stuff related to torch version change
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9eb49b04e3
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@ -121,12 +121,12 @@ 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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def run_pip(args, desc=None, live=False):
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if skip_install:
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return
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index_url_line = f' --index-url {index_url}' if index_url != '' else ''
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return run(f'"{python}" -m pip {args} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}")
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return run(f'"{python}" -m pip {args} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live)
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def check_run_python(code):
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@ -225,7 +225,7 @@ def run_extensions_installers(settings_file):
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def prepare_environment():
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global skip_install
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torch_command = os.environ.get('TORCH_COMMAND', "pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118")
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torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==2.0.0 torchvision==0.15.1 --index-url https://download.pytorch.org/whl/cu118")
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requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
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xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.17')
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@ -271,7 +271,7 @@ def prepare_environment():
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if (not is_installed("xformers") or args.reinstall_xformers) and args.xformers:
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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")
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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("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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@ -1,6 +1,5 @@
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# this code is adapted from the script contributed by anon from /h/
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import io
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import pickle
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import collections
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import sys
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@ -12,11 +11,9 @@ import _codecs
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import zipfile
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import re
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# PyTorch 1.13 and later have _TypedStorage renamed to TypedStorage
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TypedStorage = torch.storage.TypedStorage if hasattr(torch.storage, 'TypedStorage') else torch.storage._TypedStorage
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def encode(*args):
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out = _codecs.encode(*args)
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return out
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@ -27,7 +24,7 @@ class RestrictedUnpickler(pickle.Unpickler):
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def persistent_load(self, saved_id):
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assert saved_id[0] == 'storage'
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return TypedStorage()
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return TypedStorage(_internal=True)
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def find_class(self, module, name):
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if self.extra_handler is not None:
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@ -25,6 +25,6 @@ lark==1.1.2
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inflection==0.5.1
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GitPython==3.1.30
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torchsde==0.2.5
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safetensors==0.3.0
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safetensors==0.3.1
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httpcore<=0.15
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fastapi==0.94.0
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6
webui.py
6
webui.py
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@ -21,6 +21,8 @@ import torch
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import pytorch_lightning # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
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warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
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warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
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warnings.filterwarnings(action='ignore', category=UserWarning, message='TypedStorage is deprecated')
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startup_timer.record("import torch")
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@ -113,7 +115,7 @@ def check_versions():
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if shared.cmd_opts.skip_version_check:
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return
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expected_torch_version = "1.13.1"
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expected_torch_version = "2.0.0"
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if version.parse(torch.__version__) < version.parse(expected_torch_version):
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errors.print_error_explanation(f"""
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@ -126,7 +128,7 @@ there are reports of issues with training tab on the latest version.
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Use --skip-version-check commandline argument to disable this check.
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""".strip())
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expected_xformers_version = "0.0.16rc425"
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expected_xformers_version = "0.0.17"
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if shared.xformers_available:
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import xformers
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