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cleanup logger

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Vladimir Mandic
2026-02-19 11:09:13 +01:00
parent 22aa9eab01
commit e5c494f999
279 changed files with 2898 additions and 2771 deletions
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modules/processing_class.py
+5 -5
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@@ -7,12 +7,12 @@ from dataclasses import dataclass, field
import numpy as np
from PIL import Image, ImageOps
from modules import shared, images, scripts_manager, masking, sd_models, sd_vae, processing_helpers
from modules import logger
from modules.logger import log
from modules.paths import resolve_output_path
from modules.image.util import flatten
debug = logger.log.trace if os.environ.get('SD_PROCESS_DEBUG', None) is not None else lambda *args, **kwargs: None
debug = log.trace if os.environ.get('SD_PROCESS_DEBUG', None) is not None else lambda *args, **kwargs: None
@dataclass(repr=False)
@@ -315,7 +315,7 @@ class StableDiffusionProcessing:
try:
self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}
except Exception as e:
logger.log.error(f'Override: {override_settings} {e}')
log.error(f'Override: {override_settings} {e}')
self.override_settings = {}
self.prompts = []
@@ -389,7 +389,7 @@ class StableDiffusionProcessing:
if sd_model_checkpoint is not None and len(sd_model_checkpoint) > 0:
from modules import sd_checkpoint
if sd_checkpoint.select_checkpoint(op='model', sd_model_checkpoint=sd_model_checkpoint) is None:
logger.log.error(f'Processing: model="{sd_model_checkpoint}" not found')
log.error(f'Processing: model="{sd_model_checkpoint}" not found')
self.abort = True
else:
shared.opts.sd_model_checkpoint = sd_model_checkpoint
@@ -480,7 +480,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
elif self.hr_resize_x > 0 and self.hr_resize_y > 0:
self.hr_upscale_to_x = int(self.hr_resize_x)
self.hr_upscale_to_y = int(self.hr_resize_y)
logger.log.debug(f'Init hires: upscaler="{self.hr_upscaler}" sampler="{self.hr_sampler_name}" resize={self.hr_resize_x}x{self.hr_resize_y} upscale={self.hr_upscale_to_x}x{self.hr_upscale_to_y}')
log.debug(f'Init hires: upscaler="{self.hr_upscaler}" sampler="{self.hr_sampler_name}" resize={self.hr_resize_x}x{self.hr_resize_y} upscale={self.hr_upscale_to_x}x{self.hr_upscale_to_y}')
class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):