diff --git a/data/installer.json b/data/installer.json
index 707d95780..8ebf124c0 100644
--- a/data/installer.json
+++ b/data/installer.json
@@ -18,4 +18,4 @@
         "sdnext-kanvas": "79cae1944646e57cfbfb126a971a04e44e45d776",
         "sdnext-modernui": "fc7cf10dcc3f17377b6a18c4cd0dbd2be5480f0b"
     }
-}
\ No newline at end of file
+}
diff --git a/launch.py b/launch.py
index 56d69da52..369aef053 100755
--- a/launch.py
+++ b/launch.py
@@ -287,7 +287,7 @@ def main():
                 installer.update_state()
             else:
                 log.warning(f'Setup complete with errors: {installer.errors}')
-                log.warning(f'See log file for more details: {logger.log_file}')
+                log.warning(f'See log file for more details: {installer.log_file}')
     installer.extensions_preload(parser) # adds additional args from extensions
     args = installer.parse_args(parser)
     log.info(f'Installer time: {init_summary()}')
diff --git a/modules/attention.py b/modules/attention.py
index 51f29e0cc..1d074b400 100644
--- a/modules/attention.py
+++ b/modules/attention.py
@@ -1,7 +1,6 @@
 from functools import wraps
 import torch
 from modules import rocm
-from modules.logger import log
 from modules.errors import log
 from installer import install, installed
 
diff --git a/modules/caption/deepbooru.py b/modules/caption/deepbooru.py
index 87aced58d..19ff58afc 100644
--- a/modules/caption/deepbooru.py
+++ b/modules/caption/deepbooru.py
@@ -5,7 +5,7 @@ import torch
 import numpy as np
 from PIL import Image
 from modules import modelloader, devices, shared, paths
-from modules.logger import log
+from modules.logger import log, console
 
 re_special = re.compile(r'([\\()])')
 load_lock = threading.Lock()
@@ -276,7 +276,7 @@ def batch(
     model.start()
 
     # Progress bar
-    pbar = rp.Progress(rp.TextColumn('[cyan]DeepBooru:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console)
+    pbar = rp.Progress(rp.TextColumn('[cyan]DeepBooru:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console)
 
     with pbar:
         task = pbar.add_task(total=len(image_files), description='starting...')
diff --git a/modules/caption/openclip.py b/modules/caption/openclip.py
index e6110fa3a..0840514dc 100644
--- a/modules/caption/openclip.py
+++ b/modules/caption/openclip.py
@@ -6,7 +6,7 @@ import re
 import gradio as gr
 from PIL import Image
 from modules import devices, shared, errors
-from modules.logger import log
+from modules.logger import log, console
 
 
 debug_enabled = os.environ.get('SD_CAPTION_DEBUG', None) is not None
@@ -293,7 +293,7 @@ def caption_batch(batch_files, batch_folder, batch_str, clip_model, blip_model,
         writer = BatchWriter(os.path.dirname(files[0]), mode=file_mode)
         debug_log(f'CLIP batch: writing to "{os.path.dirname(files[0])}" mode="{file_mode}"')
     import rich.progress as rp
-    pbar = rp.Progress(rp.TextColumn('[cyan]Caption:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console)
+    pbar = rp.Progress(rp.TextColumn('[cyan]Caption:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console)
     with pbar:
         task = pbar.add_task(total=len(files), description='starting...')
         for file in files:
diff --git a/modules/caption/vqa.py b/modules/caption/vqa.py
index 8fbef8c97..817aba977 100644
--- a/modules/caption/vqa.py
+++ b/modules/caption/vqa.py
@@ -9,7 +9,7 @@ import transformers
 import transformers.dynamic_module_utils
 from PIL import Image
 from modules import shared, devices, errors, model_quant, sd_models, sd_models_compile, ui_symbols
-from modules.logger import log
+from modules.logger import log, console
 from modules.caption import vqa_detection
 
 
@@ -1530,7 +1530,7 @@ class VQA:
         shared.opts.caption_offload = False
         try:
             import rich.progress as rp
-            pbar = rp.Progress(rp.TextColumn('[cyan]Caption:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console)
+            pbar = rp.Progress(rp.TextColumn('[cyan]Caption:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console)
             with pbar:
                 task = pbar.add_task(total=len(files), description='starting...')
                 for file in files:
diff --git a/modules/caption/waifudiffusion.py b/modules/caption/waifudiffusion.py
index 09e602710..ba7077dac 100644
--- a/modules/caption/waifudiffusion.py
+++ b/modules/caption/waifudiffusion.py
@@ -8,7 +8,7 @@ import threading
 import numpy as np
 from PIL import Image
 from modules import shared, devices, errors
-from modules.logger import log
+from modules.logger import log, console
 
 
 # Debug logging - enable with SD_CAPTION_DEBUG environment variable
@@ -492,7 +492,7 @@ def batch(
 
     # Progress bar
     import rich.progress as rp
-    pbar = rp.Progress(rp.TextColumn('[cyan]WaifuDiffusion:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console)
+    pbar = rp.Progress(rp.TextColumn('[cyan]WaifuDiffusion:'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console)
 
     with pbar:
         task = pbar.add_task(total=len(image_files), description='starting...')
diff --git a/modules/civitai/download_civitai.py b/modules/civitai/download_civitai.py
index aa657b202..2a4a54eb5 100644
--- a/modules/civitai/download_civitai.py
+++ b/modules/civitai/download_civitai.py
@@ -3,7 +3,7 @@ import json
 import rich.progress as p
 from PIL import Image
 from modules import shared, errors, paths
-from modules.logger import log
+from modules.logger import log, console
 
 
 pbar = None
@@ -65,7 +65,7 @@ def download_civit_preview(model_path: str, preview_url: str):
     img = None
     jobid = shared.state.begin('Download CivitAI')
     if pbar is None:
-        pbar = p.Progress(p.TextColumn('[cyan]Download'), p.DownloadColumn(), p.BarColumn(), p.TaskProgressColumn(), p.TimeRemainingColumn(), p.TimeElapsedColumn(), p.TransferSpeedColumn(), p.TextColumn('[yellow]{task.description}'), console=logger.console)
+        pbar = p.Progress(p.TextColumn('[cyan]Download'), p.DownloadColumn(), p.BarColumn(), p.TaskProgressColumn(), p.TimeRemainingColumn(), p.TimeElapsedColumn(), p.TransferSpeedColumn(), p.TextColumn('[yellow]{task.description}'), console=console)
     try:
         with open(preview_file, 'wb') as f:
             with pbar:
@@ -146,7 +146,7 @@ def download_civit_model_thread(model_name: str, model_url: str, model_path: str
     written = starting_pos
     global pbar # pylint: disable=global-statement
     if pbar is None:
-        pbar = p.Progress(p.TextColumn('[cyan]{task.description}'), p.DownloadColumn(), p.BarColumn(), p.TaskProgressColumn(), p.TimeRemainingColumn(), p.TimeElapsedColumn(), p.TransferSpeedColumn(), p.TextColumn('[cyan]{task.fields[name]}'), console=logger.console)
+        pbar = p.Progress(p.TextColumn('[cyan]{task.description}'), p.DownloadColumn(), p.BarColumn(), p.TaskProgressColumn(), p.TimeRemainingColumn(), p.TimeElapsedColumn(), p.TransferSpeedColumn(), p.TextColumn('[cyan]{task.fields[name]}'), console=console)
     with pbar:
         task = pbar.add_task(description="Download starting", total=starting_pos+total_size, name=model_name)
         try:
diff --git a/modules/cmd_args.py b/modules/cmd_args.py
index 716b36690..43e2261c1 100644
--- a/modules/cmd_args.py
+++ b/modules/cmd_args.py
@@ -206,6 +206,3 @@ def settings_args(opts, args):
             opts.onchange(d, lambda d=d: setattr(args, d, getattr(opts, d)), call=False)
 
     return args
-
-
-
diff --git a/modules/dml/__init__.py b/modules/dml/__init__.py
index 9f6e9fd48..50bfea5c5 100644
--- a/modules/dml/__init__.py
+++ b/modules/dml/__init__.py
@@ -1,4 +1,3 @@
-from modules.logger import log
 import platform
 from typing import NamedTuple, Optional
 from collections.abc import Callable
diff --git a/modules/framepack/framepack_worker.py b/modules/framepack/framepack_worker.py
index 8fbdb2bf9..e87b8d790 100644
--- a/modules/framepack/framepack_worker.py
+++ b/modules/framepack/framepack_worker.py
@@ -2,7 +2,7 @@ import time
 import torch
 import rich.progress as rp
 from modules import shared, errors ,devices, sd_models, timer, memstats
-from modules.logger import log
+from modules.logger import log, console
 from modules.framepack import framepack_vae # pylint: disable=wrong-import-order
 from modules.framepack import framepack_hijack # pylint: disable=wrong-import-order
 from modules.video_models.video_save import save_video # pylint: disable=wrong-import-order
@@ -79,7 +79,7 @@ def worker(
     image_encoder = shared.sd_model.image_processor
     transformer = shared.sd_model.transformer
     sd_models.apply_balanced_offload(shared.sd_model)
-    pbar = rp.Progress(rp.TextColumn('[cyan]Video'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console)
+    pbar = rp.Progress(rp.TextColumn('[cyan]Video'), rp.BarColumn(), rp.MofNCompleteColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console)
     task = pbar.add_task('starting', total=steps * len(latent_paddings))
     t_last = time.time()
     if not is_f1:
diff --git a/modules/hashes.py b/modules/hashes.py
index 3bad1b508..0924d7ace 100644
--- a/modules/hashes.py
+++ b/modules/hashes.py
@@ -3,7 +3,6 @@ import hashlib
 import os.path
 from rich import progress, errors
 from installer import console
-from modules.logger import log
 from modules.json_helpers import readfile, writefile
 from modules.paths import data_path
 
@@ -83,7 +82,7 @@ def sha256(filename, title, use_addnet_hash=False):
     if use_addnet_hash:
         if progress_ok:
             try:
-                with progress.open(filename, 'rb', description=f'[cyan]Calculating hash: [yellow]{filename}', auto_refresh=True, console=logger.console) as f:
+                with progress.open(filename, 'rb', description=f'[cyan]Calculating hash: [yellow]{filename}', auto_refresh=True, console=console) as f:
                     sha256_value = addnet_hash_safetensors(f)
             except errors.LiveError:
                 log.warning('Hash: attempting to use function in a thread')
diff --git a/modules/infotext_utils.py b/modules/infotext_utils.py
index b32c1e558..67623191e 100644
--- a/modules/infotext_utils.py
+++ b/modules/infotext_utils.py
@@ -1,2 +1 @@
 # a1111 compatibility module: unused
-
diff --git a/modules/loader.py b/modules/loader.py
index 4bd4c6580..fb483e6d2 100644
--- a/modules/loader.py
+++ b/modules/loader.py
@@ -10,19 +10,6 @@ from modules import timer, errors
 from modules.logger import log
 
 
-try:
-    import math
-    cores = os.cpu_count()
-    affinity = len(os.sched_getaffinity(0)) # pylint: disable=no-member
-    threads = torch.get_num_threads()
-    if threads < (affinity / 2):
-        torch.set_num_threads(math.floor(affinity / 2))
-        threads = torch.get_num_threads()
-    log.debug(f'System: cores={cores} affinity={affinity} threads={threads}')
-except Exception:
-    pass
-
-
 initialized = False
 errors.install()
 logging.getLogger("DeepSpeed").disabled = True
@@ -81,6 +68,17 @@ try:
 except Exception:
     log.warning('Loader: torch is not built with distributed support')
 
+try:
+    import math
+    cores = os.cpu_count()
+    affinity = len(os.sched_getaffinity(0)) # pylint: disable=no-member
+    threads = torch.get_num_threads()
+    if threads < (affinity / 2):
+        torch.set_num_threads(math.floor(affinity / 2))
+        threads = torch.get_num_threads()
+    log.debug(f'System: cores={cores} affinity={affinity} threads={threads}')
+except Exception:
+    pass
 
 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
 warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
diff --git a/modules/lora/lora_extract.py b/modules/lora/lora_extract.py
index 679296f5b..27f379c43 100644
--- a/modules/lora/lora_extract.py
+++ b/modules/lora/lora_extract.py
@@ -7,7 +7,7 @@ from safetensors.torch import save_file
 import gradio as gr
 from rich import progress as rp
 from modules import shared, devices
-from modules.logger import log
+from modules.logger import log, console
 from modules.ui_common import create_refresh_button
 from modules.call_queue import wrap_gradio_gpu_call
 
@@ -138,7 +138,7 @@ def make_lora(fn, maxrank, auto_rank, rank_ratio, modules, overwrite):
     log.debug(f'LoRA extract: modules={modules} maxrank={maxrank} auto={auto_rank} ratio={rank_ratio} fn="{fn}"')
     jobid = shared.state.begin('LoRA extract')
 
-    with rp.Progress(rp.TextColumn('[cyan]LoRA extract'), rp.BarColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console) as progress:
+    with rp.Progress(rp.TextColumn('[cyan]LoRA extract'), rp.BarColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console) as progress:
 
         if 'te' in modules and getattr(shared.sd_model, 'text_encoder', None) is not None:
             modules = shared.sd_model.text_encoder.named_modules()
diff --git a/modules/lora/networks.py b/modules/lora/networks.py
index 449f9bd73..6dee600be 100644
--- a/modules/lora/networks.py
+++ b/modules/lora/networks.py
@@ -5,7 +5,7 @@ from modules.errorlimiter import limit_errors
 from modules.lora import lora_common as l
 from modules.lora.lora_apply import network_apply_weights, network_apply_direct, network_backup_weights, network_calc_weights
 from modules import shared, devices, sd_models
-from modules.logger import log
+from modules.logger import log, console
 
 
 applied_layers: list[str] = []
@@ -35,7 +35,7 @@ def network_activate(include=None, exclude=None):
                 modules[name] = list(component.named_modules())
         total = sum(len(x) for x in modules.values())
         if len(l.loaded_networks) > 0:
-            pbar = rp.Progress(rp.TextColumn('[cyan]Network: type=LoRA action=activate'), rp.BarColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console)
+            pbar = rp.Progress(rp.TextColumn('[cyan]Network: type=LoRA action=activate'), rp.BarColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console)
             task = pbar.add_task(description='' , total=total)
         else:
             task = None
@@ -109,7 +109,7 @@ def network_deactivate(include=None, exclude=None):
                 active_components.append(name)
         total = sum(len(x) for x in modules.values())
         if len(l.previously_loaded_networks) > 0 and l.debug:
-            pbar = rp.Progress(rp.TextColumn('[cyan]Network: type=LoRA action=deactivate'), rp.BarColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=logger.console)
+            pbar = rp.Progress(rp.TextColumn('[cyan]Network: type=LoRA action=deactivate'), rp.BarColumn(), rp.TaskProgressColumn(), rp.TimeRemainingColumn(), rp.TimeElapsedColumn(), rp.TextColumn('[cyan]{task.description}'), console=console)
             task = pbar.add_task(description='', total=total)
         else:
             task = None
diff --git a/modules/model_quant.py b/modules/model_quant.py
index 6c4646d9d..719c3dda2 100644
--- a/modules/model_quant.py
+++ b/modules/model_quant.py
@@ -8,7 +8,6 @@ import time
 import diffusers
 import transformers
 from installer import installed, install, setup_logging
-from modules.logger import log
 
 
 ao = None
diff --git a/modules/modelloader.py b/modules/modelloader.py
index 2f8b01e99..0510bff58 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -7,11 +7,10 @@ import contextlib
 from urllib.parse import urlparse
 import huggingface_hub as hf
 from installer import install
-from modules.logger import log
+from modules.logger import log, console
 from modules import shared, errors, files_cache
 from modules.upscaler import Upscaler
 from modules import paths
-from modules.logger import log
 
 
 loggedin = None
@@ -304,7 +303,7 @@ def download_url_to_file(url: str, dst: str):
         log.error(f'Error downloading: url={url} no usable temporary filename found')
         return
     try:
-        with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=logger.console) as progress:
+        with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=console) as progress:
             task = progress.add_task(description="Downloading", total=file_size)
             while True:
                 buffer = u.read(8192)
diff --git a/modules/onnx_impl/__init__.py b/modules/onnx_impl/__init__.py
index d8bc66f9c..6c9b27e98 100644
--- a/modules/onnx_impl/__init__.py
+++ b/modules/onnx_impl/__init__.py
@@ -4,7 +4,6 @@ import numpy as np
 import torch
 import diffusers
 from installer import installed, install
-from modules.logger import log
 
 
 initialized = False
diff --git a/modules/paths_internal.py b/modules/paths_internal.py
index f304361aa..66767f01c 100644
--- a/modules/paths_internal.py
+++ b/modules/paths_internal.py
@@ -1,2 +1 @@
 # no longer used, all paths are defined in paths.py
-
diff --git a/modules/postprocess/esrgan_model.py b/modules/postprocess/esrgan_model.py
index a51ba8ff2..f79e5de4b 100644
--- a/modules/postprocess/esrgan_model.py
+++ b/modules/postprocess/esrgan_model.py
@@ -4,7 +4,7 @@ from PIL import Image
 from rich.progress import Progress, TextColumn, BarColumn, TaskProgressColumn, TimeRemainingColumn, TimeElapsedColumn
 import modules.postprocess.esrgan_model_arch as arch
 from modules import images, devices, shared
-from modules.logger import log
+from modules.logger import log, console
 from modules.upscaler import Upscaler, UpscalerData, compile_upscaler
 
 
@@ -197,7 +197,7 @@ def esrgan_upscale(model, img):
     newtiles = []
     scale_factor = 1
 
-    with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=logger.console) as progress:
+    with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=console) as progress:
         total = 0
         for _y, _h, row in grid.tiles:
             total += len(row)
diff --git a/modules/postprocess/realesrgan_model_arch.py b/modules/postprocess/realesrgan_model_arch.py
index a230371de..b53d4adc0 100644
--- a/modules/postprocess/realesrgan_model_arch.py
+++ b/modules/postprocess/realesrgan_model_arch.py
@@ -9,7 +9,7 @@ from torch import nn
 from torch.nn import functional as F
 from rich.progress import Progress, TextColumn, BarColumn, TaskProgressColumn, TimeRemainingColumn, TimeElapsedColumn
 from modules import devices, shared
-from modules.logger import log
+from modules.logger import log, console
 from modules.upscaler import compile_upscaler
 
 ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
@@ -139,7 +139,7 @@ class RealESRGANer:
         tiles_y = math.ceil(height / self.tile_size)
 
         # loop over all tiles
-        with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=logger.console) as progress:
+        with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=console) as progress:
             task = progress.add_task(description="Upscaling", total=tiles_y * tiles_x)
             with torch.no_grad():
                 for y in range(tiles_y):
diff --git a/modules/postprocess/swinir_model.py b/modules/postprocess/swinir_model.py
index f37b3e82e..c9326f4f6 100644
--- a/modules/postprocess/swinir_model.py
+++ b/modules/postprocess/swinir_model.py
@@ -5,7 +5,7 @@ from rich.progress import Progress, TextColumn, BarColumn, TaskProgressColumn, T
 from modules.postprocess.swinir_model_arch import SwinIR as net
 from modules.postprocess.swinir_model_arch_v2 import Swin2SR as net2
 from modules import devices, shared
-from modules.logger import log
+from modules.logger import log, console
 from modules.upscaler import Upscaler, compile_upscaler
 
 
@@ -123,7 +123,7 @@ def inference(img, model, tile, tile_overlap, window_size, scale):
     E = torch.zeros(b, c, h * sf, w * sf, dtype=devices.dtype, device=devices.device).type_as(img)
     W = torch.zeros_like(E, dtype=devices.dtype, device=devices.device)
 
-    with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=logger.console) as progress:
+    with Progress(TextColumn('[cyan]{task.description}'), BarColumn(), TaskProgressColumn(), TimeRemainingColumn(), TimeElapsedColumn(), console=console) as progress:
         task = progress.add_task(description="Upscaling Initializing", total=len(h_idx_list) * len(w_idx_list))
         for h_idx in h_idx_list:
             if shared.state.interrupted:
diff --git a/modules/sd_hijack_hypertile.py b/modules/sd_hijack_hypertile.py
index 7ac130ebc..11c227308 100644
--- a/modules/sd_hijack_hypertile.py
+++ b/modules/sd_hijack_hypertile.py
@@ -2,8 +2,8 @@
 # based on: https://github.com/tfernd/HyperTile/tree/main/hyper_tile/utils.py + https://github.com/tfernd/HyperTile/tree/main/hyper_tile/hyper_tile.py
 
 from __future__ import annotations
+from typing import TYPE_CHECKING
 from modules.logger import log
-from collections.abc import Callable
 from functools import wraps, cache
 from contextlib import contextmanager, nullcontext
 import random
@@ -11,7 +11,8 @@ import math
 import torch
 import torch.nn as nn
 from einops import rearrange
-from modules.logger import log
+if TYPE_CHECKING:
+    from collections.abc import Callable
 
 
 # global variables to keep track of changing image size in multiple passes
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 8fef66bc4..831c2c09b 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -12,7 +12,6 @@ import torch
 import huggingface_hub as hf
 from modules.logger import log
 from modules import timer, paths, shared, shared_items, modelloader, devices, script_callbacks, sd_vae, sd_unet, errors, sd_models_compile, sd_detect, model_quant, sd_hijack_te, sd_hijack_accelerate, sd_hijack_safetensors, attention
-from modules.logger import log
 from modules.memstats import memory_stats
 from modules.modeldata import model_data
 from modules.sd_checkpoint import CheckpointInfo, select_checkpoint, list_models, checkpoint_titles, get_closest_checkpoint_match, update_model_hashes, write_metadata, checkpoints_list # pylint: disable=unused-import
diff --git a/modules/sd_models_utils.py b/modules/sd_models_utils.py
index 47c6ac73c..1f3585718 100644
--- a/modules/sd_models_utils.py
+++ b/modules/sd_models_utils.py
@@ -8,7 +8,7 @@ import torch
 import safetensors.torch
 
 from modules import paths, shared, errors
-from modules.logger import log
+from modules.logger import log, console
 from modules.sd_checkpoint import CheckpointInfo # pylint: disable=unused-import
 
 
@@ -68,7 +68,7 @@ def read_state_dict(checkpoint_file, map_location=None, what:str='model'): # pyl
         return None
     try:
         pl_sd = None
-        with progress.open(checkpoint_file, 'rb', description=f'[cyan]Load {what}: [yellow]{checkpoint_file}', auto_refresh=True, console=logger.console) as f:
+        with progress.open(checkpoint_file, 'rb', description=f'[cyan]Load {what}: [yellow]{checkpoint_file}', auto_refresh=True, console=console) as f:
             _, extension = os.path.splitext(checkpoint_file)
             if extension.lower() == ".ckpt" and shared.opts.sd_disable_ckpt:
                 log.warning(f"Checkpoint loading disabled: {checkpoint_file}")
diff --git a/modules/sd_offload.py b/modules/sd_offload.py
index 80fb2f986..40c933f6c 100644
--- a/modules/sd_offload.py
+++ b/modules/sd_offload.py
@@ -8,7 +8,6 @@ import accelerate.hooks
 import accelerate.utils.modeling
 from modules.logger import log
 from modules import shared, devices, errors, model_quant, sd_models
-from modules.logger import log
 from modules.timer import process as process_timer
 
 
diff --git a/pipelines/model_glm.py b/pipelines/model_glm.py
index d863bb785..c58358f88 100644
--- a/pipelines/model_glm.py
+++ b/pipelines/model_glm.py
@@ -3,7 +3,7 @@ import rich.progress as rp
 import transformers
 import diffusers
 from modules import shared, devices, sd_models, model_quant, sd_hijack_te
-from modules.logger import log
+from modules.logger import log, console
 from pipelines import generic
 
 
@@ -34,7 +34,7 @@ class GLMTokenProgressProcessor(transformers.LogitsProcessor):
                 rp.MofNCompleteColumn(),
                 rp.TimeElapsedColumn(),
                 rp.TimeRemainingColumn(),
-                console=logger.console,
+                console=console,
             )
             self.pbar.start()
             self.pbar_task = self.pbar.add_task(description='', total=self.total_tokens, speed='')
diff --git a/scripts/differential_diffusion.py b/scripts/differential_diffusion.py
index 27f77553d..acb9ca0b8 100644
--- a/scripts/differential_diffusion.py
+++ b/scripts/differential_diffusion.py
@@ -1901,15 +1901,15 @@ class Script(scripts_manager.Script):
         if not enabled:
             return
         if shared.sd_model_type not in ['sdxl', 'sd', 'f1']:
-            sdnext_log.error(f'Differential-diffusion: incorrect base model: {shared.sd_model.__class__.__name__}')
+            log.error(f'Differential-diffusion: incorrect base model: {shared.sd_model.__class__.__name__}')
             return
         if not hasattr(p, 'init_images') or len(p.init_images) == 0:
-            sdnext_log.error('Differential-diffusion: no input images')
+            log.error('Differential-diffusion: no input images')
             return
 
         image_init, image_map, image_mask = self.depthmap(p.init_images[0], image, model, strength, invert)
         if image_map is None:
-            sdnext_log.error('Differential-diffusion: no image map')
+            log.error('Differential-diffusion: no image map')
             return
 
         orig_pipeline = shared.sd_model
@@ -1950,13 +1950,13 @@ class Script(scripts_manager.Script):
             if shared.sd_model_type == 'sdxl':
                 p.task_args['original_image'] = image_init
             if p.batch_size > 1:
-                sdnext_log.warning(f'Differential-diffusion: batch-size={p.batch_size} parallel processing not supported')
+                log.warning(f'Differential-diffusion: batch-size={p.batch_size} parallel processing not supported')
                 p.batch_size = 1
-            sdnext_log.debug(f'Differential-diffusion: pipeline={pipe.__class__.__name__} strength={strength} model={model} auto={image is None}')
+            log.debug(f'Differential-diffusion: pipeline={pipe.__class__.__name__} strength={strength} model={model} auto={image is None}')
             shared.sd_model = pipe
             sd_models.move_model(pipe.vae, devices.device, force=True)
         except Exception as e:
-            sdnext_log.error(f'Differential-diffusion: pipeline creation failed: {e}')
+            log.error(f'Differential-diffusion: pipeline creation failed: {e}')
             errors.display(e, 'Differential-diffusion: pipeline creation failed')
             shared.sd_model = orig_pipeline
 
diff --git a/scripts/softfill.py b/scripts/softfill.py
index 688e224d8..24cbfbacc 100644
--- a/scripts/softfill.py
+++ b/scripts/softfill.py
@@ -1631,13 +1631,13 @@ class Script(scripts_manager.Script):
         if not enabled:
             return
         if shared.sd_model_type not in ['sdxl']:
-            sdnext_log.error(f'SoftFill: incorrect base model: {shared.sd_model.__class__.__name__}')
+            log.error(f'SoftFill: incorrect base model: {shared.sd_model.__class__.__name__}')
             return
         if not hasattr(p, 'init_images') or len(p.init_images) == 0:
-            sdnext_log.error('SoftFill: no input image')
+            log.error('SoftFill: no input image')
             return
         if not hasattr(p, 'mask') or p.mask is None:
-            sdnext_log.error('SoftFill: no input mask')
+            log.error('SoftFill: no input mask')
             return
 
         try:
@@ -1646,7 +1646,7 @@ class Script(scripts_manager.Script):
             import noise as noise_module
             pnoise2 = noise_module.pnoise2
         except Exception as e:
-            sdnext_log.error(f'SoftFill: {e}')
+            log.error(f'SoftFill: {e}')
             return
 
         self.orig_pipeline = shared.sd_model
@@ -1655,7 +1655,7 @@ class Script(scripts_manager.Script):
             if shared.sd_model.__class__.__name__ not in sd_models.pipe_switch_task_exclude:
                 sd_models.pipe_switch_task_exclude.append(shared.sd_model.__class__.__name__)
         except Exception as e:
-            sdnext_log.error(f'SoftFill: {e}')
+            log.error(f'SoftFill: {e}')
             shared.sd_model = self.orig_pipeline
             self.orig_pipeline = None
             return
@@ -1664,7 +1664,7 @@ class Script(scripts_manager.Script):
         p.task_args['strength'] = strength
         p.task_args['image'] = p.init_images[0]
         p.task_args['mask'] = p.mask
-        sdnext_log.info(f'SoftFill: cls={shared.sd_model.__class__.__name__} {p.task_args}')
+        log.info(f'SoftFill: cls={shared.sd_model.__class__.__name__} {p.task_args}')
 
     def after(self, p: processing.StableDiffusionProcessingImg2Img, *args, **kwargs): # pylint: disable=unused-argument
         if self.orig_pipeline is not None: