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authorAUTOMATIC1111 <16777216c@gmail.com>2023-04-29 17:22:24 +0300
committerGitHub <noreply@github.com>2023-04-29 17:22:24 +0300
commit78d0ee3bbaa2b48b7918e8088ad91c34f1ff2f1e (patch)
treeef6f32229611cab72bc1cfe088e2c60a70dbf41a /webui.py
parent3ccf6f5ae8e57233200f9cac52da8d5d88ecee93 (diff)
parentc018eefe9173ae8f3669340479569dda78643a8a (diff)
Merge branch 'dev' into extension-settings-backup
Diffstat (limited to 'webui.py')
-rw-r--r--webui.py53
1 files changed, 48 insertions, 5 deletions
diff --git a/webui.py b/webui.py
index ee5e4f11..ae3285c6 100644
--- a/webui.py
+++ b/webui.py
@@ -21,6 +21,9 @@ startup_timer = timer.Timer()
import torch
import pytorch_lightning # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
+warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
+
+
startup_timer.record("import torch")
import gradio
@@ -68,11 +71,51 @@ else:
server_name = "0.0.0.0" if cmd_opts.listen else None
+def fix_asyncio_event_loop_policy():
+ """
+ The default `asyncio` event loop policy only automatically creates
+ event loops in the main threads. Other threads must create event
+ loops explicitly or `asyncio.get_event_loop` (and therefore
+ `.IOLoop.current`) will fail. Installing this policy allows event
+ loops to be created automatically on any thread, matching the
+ behavior of Tornado versions prior to 5.0 (or 5.0 on Python 2).
+ """
+
+ import asyncio
+
+ if sys.platform == "win32" and hasattr(asyncio, "WindowsSelectorEventLoopPolicy"):
+ # "Any thread" and "selector" should be orthogonal, but there's not a clean
+ # interface for composing policies so pick the right base.
+ _BasePolicy = asyncio.WindowsSelectorEventLoopPolicy # type: ignore
+ else:
+ _BasePolicy = asyncio.DefaultEventLoopPolicy
+
+ class AnyThreadEventLoopPolicy(_BasePolicy): # type: ignore
+ """Event loop policy that allows loop creation on any thread.
+ Usage::
+
+ asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
+ """
+
+ def get_event_loop(self) -> asyncio.AbstractEventLoop:
+ try:
+ return super().get_event_loop()
+ except (RuntimeError, AssertionError):
+ # This was an AssertionError in python 3.4.2 (which ships with debian jessie)
+ # and changed to a RuntimeError in 3.4.3.
+ # "There is no current event loop in thread %r"
+ loop = self.new_event_loop()
+ self.set_event_loop(loop)
+ return loop
+
+ asyncio.set_event_loop_policy(AnyThreadEventLoopPolicy())
+
+
def check_versions():
if shared.cmd_opts.skip_version_check:
return
- expected_torch_version = "1.13.1"
+ expected_torch_version = "2.0.0"
if version.parse(torch.__version__) < version.parse(expected_torch_version):
errors.print_error_explanation(f"""
@@ -85,7 +128,7 @@ there are reports of issues with training tab on the latest version.
Use --skip-version-check commandline argument to disable this check.
""".strip())
- expected_xformers_version = "0.0.16rc425"
+ expected_xformers_version = "0.0.17"
if shared.xformers_available:
import xformers
@@ -100,6 +143,8 @@ Use --skip-version-check commandline argument to disable this check.
def initialize():
+ fix_asyncio_event_loop_policy()
+
check_versions()
extensions.list_extensions()
@@ -140,9 +185,6 @@ def initialize():
modules.scripts.load_scripts()
startup_timer.record("load scripts")
- modelloader.load_upscalers()
- startup_timer.record("load upscalers")
-
modules.sd_vae.refresh_vae_list()
startup_timer.record("refresh VAE")
@@ -164,6 +206,7 @@ def initialize():
shared.opts.onchange("sd_vae", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)
+ shared.opts.onchange("gradio_theme", shared.reload_gradio_theme)
startup_timer.record("opts onchange")
shared.reload_hypernetworks()