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authorAUTOMATIC1111 <16777216c@gmail.com>2024-03-02 07:03:13 +0300
committerAUTOMATIC1111 <16777216c@gmail.com>2024-03-02 07:03:13 +0300
commitbef51aed032c0aaa5cfd80445bc4cf0d85b408b5 (patch)
tree42957c454a4ac8d98488f19811b60359d05d88ba /modules/initialize.py
parentcf2772fab0af5573da775e7437e6acdca424f26e (diff)
parent13984857890401e8605a3e53bd671e900a18d73f (diff)
Merge branch 'release_candidate'
Diffstat (limited to 'modules/initialize.py')
-rw-r--r--modules/initialize.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/modules/initialize.py b/modules/initialize.py
index ac95fc6f..f7313ff4 100644
--- a/modules/initialize.py
+++ b/modules/initialize.py
@@ -1,5 +1,6 @@
import importlib
import logging
+import os
import sys
import warnings
from threading import Thread
@@ -18,6 +19,7 @@ def imports():
warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
+ os.environ.setdefault('GRADIO_ANALYTICS_ENABLED', 'False')
import gradio # noqa: F401
startup_timer.record("import gradio")
@@ -54,9 +56,6 @@ def initialize():
initialize_util.configure_sigint_handler()
initialize_util.configure_opts_onchange()
- from modules import modelloader
- modelloader.cleanup_models()
-
from modules import sd_models
sd_models.setup_model()
startup_timer.record("setup SD model")
@@ -143,13 +142,14 @@ def initialize_rest(*, reload_script_modules=False):
its optimization may be None because the list of optimizaers has neet been filled
by that time, so we apply optimization again.
"""
+ from modules import devices
+ devices.torch_npu_set_device()
shared.sd_model # noqa: B018
if sd_hijack.current_optimizer is None:
sd_hijack.apply_optimizations()
- from modules import devices
devices.first_time_calculation()
if not shared.cmd_opts.skip_load_model_at_start:
Thread(target=load_model).start()