Add & use modules.errors.print_error where currently printing exception info by hand

extensions-builtin/LDSR/scripts/ldsr_model.py

 import os
-import sys
-import traceback
 
 from basicsr.utils.download_util import load_file_from_url
 
+from modules.errors import print_error
 from modules.upscaler import Upscaler, UpscalerData
 from ldsr_model_arch import LDSR
 from modules import shared, script_callbacks
@@ -51,10 +50,8 @@ class UpscalerLDSR(Upscaler):
 
         try:
             return LDSR(model, yaml)
-
         except Exception:
-            print("Error importing LDSR:", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error("Error importing LDSR", exc_info=True)
         return None
 
     def do_upscale(self, img, path):

extensions-builtin/ScuNET/scripts/scunet_model.py

 import os.path
 import sys
-import traceback
 
 import PIL.Image
 import numpy as np
@@ -12,6 +11,8 @@ from basicsr.utils.download_util import load_file_from_url
 import modules.upscaler
 from modules import devices, modelloader, script_callbacks
 from scunet_model_arch import SCUNet as net
+
+from modules.errors import print_error
 from modules.shared import opts
 
 
@@ -38,8 +39,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
                 scaler_data = modules.upscaler.UpscalerData(name, file, self, 4)
                 scalers.append(scaler_data)
             except Exception:
-                print(f"Error loading ScuNET model: {file}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error loading ScuNET model: {file}", exc_info=True)
         if add_model2:
             scaler_data2 = modules.upscaler.UpscalerData(self.model_name2, self.model_url2, self)
             scalers.append(scaler_data2)

modules/api/api.py

@@ -16,6 +16,7 @@ from secrets import compare_digest
 import modules.shared as shared
 from modules import sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing
 from modules.api import models
+from modules.errors import print_error
 from modules.shared import opts
 from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
 from modules.textual_inversion.textual_inversion import create_embedding, train_embedding
@@ -108,7 +109,6 @@ def api_middleware(app: FastAPI):
         from rich.console import Console
         console = Console()
     except Exception:
-        import traceback
         rich_available = False
 
     @app.middleware("http")
@@ -139,11 +139,12 @@ def api_middleware(app: FastAPI):
             "errors": str(e),
         }
         if not isinstance(e, HTTPException): # do not print backtrace on known httpexceptions
-            print(f"API error: {request.method}: {request.url} {err}")
+            message = f"API error: {request.method}: {request.url} {err}"
             if rich_available:
+                print(message)
                 console.print_exception(show_locals=True, max_frames=2, extra_lines=1, suppress=[anyio, starlette], word_wrap=False, width=min([console.width, 200]))
             else:
-                traceback.print_exc()
+                print_error(message, exc_info=True)
         return JSONResponse(status_code=vars(e).get('status_code', 500), content=jsonable_encoder(err))
 
     @app.middleware("http")

modules/call_queue.py

 import html
-import sys
 import threading
-import traceback
 import time
 
 from modules import shared, progress
+from modules.errors import print_error
 
 queue_lock = threading.Lock()
 
@@ -56,16 +55,14 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
         try:
             res = list(func(*args, **kwargs))
         except Exception as e:
-            # When printing out our debug argument list, do not print out more than a MB of text
-            max_debug_str_len = 131072 # (1024*1024)/8
-
-            print("Error completing request", file=sys.stderr)
-            argStr = f"Arguments: {args} {kwargs}"
-            print(argStr[:max_debug_str_len], file=sys.stderr)
-            if len(argStr) > max_debug_str_len:
-                print(f"(Argument list truncated at {max_debug_str_len}/{len(argStr)} characters)", file=sys.stderr)
-
-            print(traceback.format_exc(), file=sys.stderr)
+            # When printing out our debug argument list,
+            # do not print out more than a 100 KB of text
+            max_debug_str_len = 131072
+            message = "Error completing request"
+            arg_str = f"Arguments: {args} {kwargs}"[:max_debug_str_len]
+            if len(arg_str) > max_debug_str_len:
+                arg_str += f" (Argument list truncated at {max_debug_str_len}/{len(arg_str)} characters)"
+            print_error(f"{message}\n{arg_str}", exc_info=True)
 
             shared.state.job = ""
             shared.state.job_count = 0
@@ -108,4 +105,3 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
         return tuple(res)
 
     return f
-

modules/codeformer_model.py

 import os
-import sys
-import traceback
 
 import cv2
 import torch
@@ -8,6 +6,7 @@ import torch
 import modules.face_restoration
 import modules.shared
 from modules import shared, devices, modelloader
+from modules.errors import print_error
 from modules.paths import models_path
 
 # codeformer people made a choice to include modified basicsr library to their project which makes
@@ -105,8 +104,8 @@ def setup_model(dirname):
                             restored_face = tensor2img(output, rgb2bgr=True, min_max=(-1, 1))
                         del output
                         torch.cuda.empty_cache()
-                    except Exception as error:
-                        print(f'\tFailed inference for CodeFormer: {error}', file=sys.stderr)
+                    except Exception:
+                        print_error('Failed inference for CodeFormer', exc_info=True)
                         restored_face = tensor2img(cropped_face_t, rgb2bgr=True, min_max=(-1, 1))
 
                     restored_face = restored_face.astype('uint8')
@@ -135,7 +134,6 @@ def setup_model(dirname):
         shared.face_restorers.append(codeformer)
 
     except Exception:
-        print("Error setting up CodeFormer:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error("Error setting up CodeFormer", exc_info=True)
 
    # sys.path = stored_sys_path

modules/config_states.py

@@ -3,8 +3,6 @@ Supports saving and restoring webui and extensions from a known working set of c
 """
 
 import os
-import sys
-import traceback
 import json
 import time
 import tqdm
@@ -14,6 +12,7 @@ from collections import OrderedDict
 import git
 
 from modules import shared, extensions
+from modules.errors import print_error
 from modules.paths_internal import script_path, config_states_dir
 
 
@@ -53,8 +52,7 @@ def get_webui_config():
         if os.path.exists(os.path.join(script_path, ".git")):
             webui_repo = git.Repo(script_path)
     except Exception:
-        print(f"Error reading webui git info from {script_path}:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error(f"Error reading webui git info from {script_path}", exc_info=True)
 
     webui_remote = None
     webui_commit_hash = None
@@ -134,8 +132,7 @@ def restore_webui_config(config):
         if os.path.exists(os.path.join(script_path, ".git")):
             webui_repo = git.Repo(script_path)
     except Exception:
-        print(f"Error reading webui git info from {script_path}:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error(f"Error reading webui git info from {script_path}", exc_info=True)
         return
 
     try:
@@ -143,8 +140,7 @@ def restore_webui_config(config):
         webui_repo.git.reset(webui_commit_hash, hard=True)
         print(f"* Restored webui to commit {webui_commit_hash}.")
     except Exception:
-        print(f"Error restoring webui to commit {webui_commit_hash}:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error(f"Error restoring webui to commit{webui_commit_hash}")
 
 
 def restore_extension_config(config):

modules/errors.py

 import sys
+import textwrap
 import traceback
 
 
+def print_error(
+    message: str,
+    *,
+    exc_info: bool = False,
+) -> None:
+    """
+    Print an error message to stderr, with optional traceback.
+    """
+    for line in message.splitlines():
+        print("***", line, file=sys.stderr)
+    if exc_info:
+        print(textwrap.indent(traceback.format_exc(), "    "), file=sys.stderr)
+        print("---")
+
+
 def print_error_explanation(message):
     lines = message.strip().split("\n")
     max_len = max([len(x) for x in lines])

modules/extensions.py

 import os
-import sys
 import threading
-import traceback
 
 import git
 
 from modules import shared
+from modules.errors import print_error
 from modules.paths_internal import extensions_dir, extensions_builtin_dir, script_path  # noqa: F401
 
 extensions = []
@@ -56,8 +55,7 @@ class Extension:
             if os.path.exists(os.path.join(self.path, ".git")):
                 repo = git.Repo(self.path)
         except Exception:
-            print(f"Error reading github repository info from {self.path}:", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error(f"Error reading github repository info from {self.path}", exc_info=True)
 
         if repo is None or repo.bare:
             self.remote = None
@@ -72,8 +70,8 @@ class Extension:
                 self.commit_hash = commit.hexsha
                 self.version = self.commit_hash[:8]
 
-            except Exception as ex:
-                print(f"Failed reading extension data from Git repository ({self.name}): {ex}", file=sys.stderr)
+            except Exception:
+                print_error(f"Failed reading extension data from Git repository ({self.name})", exc_info=True)
                 self.remote = None
 
         self.have_info_from_repo = True

modules/gfpgan_model.py

 import os
-import sys
-import traceback
 
 import facexlib
 import gfpgan
 
 import modules.face_restoration
 from modules import paths, shared, devices, modelloader
+from modules.errors import print_error
 
 model_dir = "GFPGAN"
 user_path = None
@@ -112,5 +111,4 @@ def setup_model(dirname):
 
         shared.face_restorers.append(FaceRestorerGFPGAN())
     except Exception:
-        print("Error setting up GFPGAN:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error("Error setting up GFPGAN", exc_info=True)

modules/hypernetworks/hypernetwork.py

@@ -2,8 +2,6 @@ import datetime
 import glob
 import html
 import os
-import sys
-import traceback
 import inspect
 
 import modules.textual_inversion.dataset
@@ -12,6 +10,7 @@ import tqdm
 from einops import rearrange, repeat
 from ldm.util import default
 from modules import devices, processing, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint
+from modules.errors import print_error
 from modules.textual_inversion import textual_inversion, logging
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 from torch import einsum
@@ -325,17 +324,14 @@ def load_hypernetwork(name):
     if path is None:
         return None
 
-    hypernetwork = Hypernetwork()
-
     try:
+        hypernetwork = Hypernetwork()
         hypernetwork.load(path)
+        return hypernetwork
     except Exception:
-        print(f"Error loading hypernetwork {path}", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error(f"Error loading hypernetwork {path}", exc_info=True)
         return None
 
-    return hypernetwork
-
 
 def load_hypernetworks(names, multipliers=None):
     already_loaded = {}
@@ -770,7 +766,7 @@ Last saved image: {html.escape(last_saved_image)}<br/>
 </p>
 """
     except Exception:
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error("Exception in training hypernetwork", exc_info=True)
     finally:
         pbar.leave = False
         pbar.close()

modules/images.py

 import datetime
-import sys
-import traceback
 
 import pytz
 import io
@@ -18,6 +16,7 @@ import json
 import hashlib
 
 from modules import sd_samplers, shared, script_callbacks, errors
+from modules.errors import print_error
 from modules.paths_internal import roboto_ttf_file
 from modules.shared import opts
 
@@ -464,8 +463,7 @@ class FilenameGenerator:
                     replacement = fun(self, *pattern_args)
                 except Exception:
                     replacement = None
-                    print(f"Error adding [{pattern}] to filename", file=sys.stderr)
-                    print(traceback.format_exc(), file=sys.stderr)
+                    print_error(f"Error adding [{pattern}] to filename", exc_info=True)
 
                 if replacement == NOTHING_AND_SKIP_PREVIOUS_TEXT:
                     continue
@@ -697,8 +695,7 @@ def read_info_from_image(image):
 Negative prompt: {json_info["uc"]}
 Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""
         except Exception:
-            print("Error parsing NovelAI image generation parameters:", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error("Error parsing NovelAI image generation parameters", exc_info=True)
 
     return geninfo, items
 

modules/interrogate.py

 import os
 import sys
-import traceback
 from collections import namedtuple
 from pathlib import Path
 import re
@@ -12,6 +11,7 @@ from torchvision import transforms
 from torchvision.transforms.functional import InterpolationMode
 
 from modules import devices, paths, shared, lowvram, modelloader, errors
+from modules.errors import print_error
 
 blip_image_eval_size = 384
 clip_model_name = 'ViT-L/14'
@@ -216,8 +216,7 @@ class InterrogateModels:
                             res += f", {match}"
 
         except Exception:
-            print("Error interrogating", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error("Error interrogating", exc_info=True)
             res += "<error>"
 
         self.unload()

modules/launch_utils.py

@@ -8,6 +8,7 @@ import json
 from functools import lru_cache
 
 from modules import cmd_args
+from modules.errors import print_error
 from modules.paths_internal import script_path, extensions_dir
 
 args, _ = cmd_args.parser.parse_known_args()
@@ -188,7 +189,7 @@ def run_extension_installer(extension_dir):
 
         print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
     except Exception as e:
-        print(e, file=sys.stderr)
+        print_error(str(e))
 
 
 def list_extensions(settings_file):
@@ -198,8 +199,8 @@ def list_extensions(settings_file):
         if os.path.isfile(settings_file):
             with open(settings_file, "r", encoding="utf8") as file:
                 settings = json.load(file)
-    except Exception as e:
-        print(e, file=sys.stderr)
+    except Exception:
+        print_error("Could not load settings", exc_info=True)
 
     disabled_extensions = set(settings.get('disabled_extensions', []))
     disable_all_extensions = settings.get('disable_all_extensions', 'none')

modules/localization.py

 import json
 import os
-import sys
-import traceback
 
+from modules.errors import print_error
 
 localizations = {}
 
@@ -31,7 +30,6 @@ def localization_js(current_localization_name: str) -> str:
             with open(fn, "r", encoding="utf8") as file:
                 data = json.load(file)
         except Exception:
-            print(f"Error loading localization from {fn}:", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error(f"Error loading localization from {fn}", exc_info=True)
 
     return f"window.localization = {json.dumps(data)}"

modules/processing.py

 import json
+import logging
 import math
 import os
 import sys
@@ -23,7 +24,6 @@ import modules.images as images
 import modules.styles
 import modules.sd_models as sd_models
 import modules.sd_vae as sd_vae
-import logging
 from ldm.data.util import AddMiDaS
 from ldm.models.diffusion.ddpm import LatentDepth2ImageDiffusion
 

modules/realesrgan_model.py

 import os
-import sys
-import traceback
 
 import numpy as np
 from PIL import Image
 from basicsr.utils.download_util import load_file_from_url
 from realesrgan import RealESRGANer
 
+from modules.errors import print_error
 from modules.upscaler import Upscaler, UpscalerData
 from modules.shared import cmd_opts, opts
 from modules import modelloader
@@ -36,8 +35,7 @@ class UpscalerRealESRGAN(Upscaler):
                     self.scalers.append(scaler)
 
         except Exception:
-            print("Error importing Real-ESRGAN:", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error("Error importing Real-ESRGAN", exc_info=True)
             self.enable = False
             self.scalers = []
 
@@ -76,9 +74,8 @@ class UpscalerRealESRGAN(Upscaler):
                 info.local_data_path = load_file_from_url(url=info.data_path, model_dir=self.model_download_path, progress=True)
 
             return info
-        except Exception as e:
-            print(f"Error making Real-ESRGAN models list: {e}", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+        except Exception:
+            print_error("Error making Real-ESRGAN models list", exc_info=True)
         return None
 
     def load_models(self, _):
@@ -135,5 +132,4 @@ def get_realesrgan_models(scaler):
         ]
         return models
     except Exception:
-        print("Error making Real-ESRGAN models list:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error("Error making Real-ESRGAN models list", exc_info=True)

modules/safe.py

@@ -2,8 +2,6 @@
 
 import pickle
 import collections
-import sys
-import traceback
 
 import torch
 import numpy
@@ -11,6 +9,8 @@ import _codecs
 import zipfile
 import re
 
+from modules.errors import print_error
+
 # PyTorch 1.13 and later have _TypedStorage renamed to TypedStorage
 TypedStorage = torch.storage.TypedStorage if hasattr(torch.storage, 'TypedStorage') else torch.storage._TypedStorage
 
@@ -136,17 +136,20 @@ def load_with_extra(filename, extra_handler=None, *args, **kwargs):
             check_pt(filename, extra_handler)
 
     except pickle.UnpicklingError:
-        print(f"Error verifying pickled file from {filename}:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
-        print("-----> !!!! The file is most likely corrupted !!!! <-----", file=sys.stderr)
-        print("You can skip this check with --disable-safe-unpickle commandline argument, but that is not going to help you.\n\n", file=sys.stderr)
+        print_error(
+            f"Error verifying pickled file from {filename}\n"
+            "-----> !!!! The file is most likely corrupted !!!! <-----\n"
+            "You can skip this check with --disable-safe-unpickle commandline argument, but that is not going to help you.\n\n",
+            exc_info=True,
+        )
         return None
-
     except Exception:
-        print(f"Error verifying pickled file from {filename}:", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
-        print("\nThe file may be malicious, so the program is not going to read it.", file=sys.stderr)
-        print("You can skip this check with --disable-safe-unpickle commandline argument.\n\n", file=sys.stderr)
+        print_error(
+            f"Error verifying pickled file from {filename}\n"
+            f"The file may be malicious, so the program is not going to read it.\n"
+            f"You can skip this check with --disable-safe-unpickle commandline argument.\n\n",
+            exc_info=True,
+        )
         return None
 
     return unsafe_torch_load(filename, *args, **kwargs)
@@ -190,4 +193,3 @@ with safe.Extra(handler):
 unsafe_torch_load = torch.load
 torch.load = load
 global_extra_handler = None
-

modules/script_callbacks.py

-import sys
-import traceback
-from collections import namedtuple
 import inspect
+from collections import namedtuple
 from typing import Optional, Dict, Any
 
 from fastapi import FastAPI
 from gradio import Blocks
 
+from modules.errors import print_error
+
 
 def report_exception(c, job):
-    print(f"Error executing callback {job} for {c.script}", file=sys.stderr)
-    print(traceback.format_exc(), file=sys.stderr)
+    print_error(f"Error executing callback {job} for {c.script}", exc_info=True)
 
 
 class ImageSaveParams:

modules/script_loading.py

 import os
-import sys
-import traceback
 import importlib.util
 
+from modules.errors import print_error
+
 
 def load_module(path):
     module_spec = importlib.util.spec_from_file_location(os.path.basename(path), path)
@@ -27,5 +27,4 @@ def preload_extensions(extensions_dir, parser):
                 module.preload(parser)
 
         except Exception:
-            print(f"Error running preload() for {preload_script}", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error(f"Error running preload() for {preload_script}", exc_info=True)

modules/scripts.py

 import os
 import re
 import sys
-import traceback
 from collections import namedtuple
 
 import gradio as gr
 
 from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing
+from modules.errors import print_error
 
 AlwaysVisible = object()
 
@@ -264,8 +264,7 @@ def load_scripts():
             register_scripts_from_module(script_module)
 
         except Exception:
-            print(f"Error loading script: {scriptfile.filename}", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error(f"Error loading script: {scriptfile.filename}", exc_info=True)
 
         finally:
             sys.path = syspath
@@ -280,11 +279,9 @@ def load_scripts():
 
 def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
     try:
-        res = func(*args, **kwargs)
-        return res
+        return func(*args, **kwargs)
     except Exception:
-        print(f"Error calling: {filename}/{funcname}", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error(f"Error calling: {filename}/{funcname}", exc_info=True)
 
     return default
 
@@ -450,8 +447,7 @@ class ScriptRunner:
                 script_args = p.script_args[script.args_from:script.args_to]
                 script.process(p, *script_args)
             except Exception:
-                print(f"Error running process: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running process: {script.filename}", exc_info=True)
 
     def before_process_batch(self, p, **kwargs):
         for script in self.alwayson_scripts:
@@ -459,8 +455,7 @@ class ScriptRunner:
                 script_args = p.script_args[script.args_from:script.args_to]
                 script.before_process_batch(p, *script_args, **kwargs)
             except Exception:
-                print(f"Error running before_process_batch: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running before_process_batch: {script.filename}", exc_info=True)
 
     def process_batch(self, p, **kwargs):
         for script in self.alwayson_scripts:
@@ -468,8 +463,7 @@ class ScriptRunner:
                 script_args = p.script_args[script.args_from:script.args_to]
                 script.process_batch(p, *script_args, **kwargs)
             except Exception:
-                print(f"Error running process_batch: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running process_batch: {script.filename}", exc_info=True)
 
     def postprocess(self, p, processed):
         for script in self.alwayson_scripts:
@@ -477,8 +471,7 @@ class ScriptRunner:
                 script_args = p.script_args[script.args_from:script.args_to]
                 script.postprocess(p, processed, *script_args)
             except Exception:
-                print(f"Error running postprocess: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running postprocess: {script.filename}", exc_info=True)
 
     def postprocess_batch(self, p, images, **kwargs):
         for script in self.alwayson_scripts:
@@ -486,8 +479,7 @@ class ScriptRunner:
                 script_args = p.script_args[script.args_from:script.args_to]
                 script.postprocess_batch(p, *script_args, images=images, **kwargs)
             except Exception:
-                print(f"Error running postprocess_batch: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running postprocess_batch: {script.filename}", exc_info=True)
 
     def postprocess_image(self, p, pp: PostprocessImageArgs):
         for script in self.alwayson_scripts:
@@ -495,24 +487,21 @@ class ScriptRunner:
                 script_args = p.script_args[script.args_from:script.args_to]
                 script.postprocess_image(p, pp, *script_args)
             except Exception:
-                print(f"Error running postprocess_batch: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running postprocess_image: {script.filename}", exc_info=True)
 
     def before_component(self, component, **kwargs):
         for script in self.scripts:
             try:
                 script.before_component(component, **kwargs)
             except Exception:
-                print(f"Error running before_component: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running before_component: {script.filename}", exc_info=True)
 
     def after_component(self, component, **kwargs):
         for script in self.scripts:
             try:
                 script.after_component(component, **kwargs)
             except Exception:
-                print(f"Error running after_component: {script.filename}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error(f"Error running after_component: {script.filename}", exc_info=True)
 
     def reload_sources(self, cache):
         for si, script in list(enumerate(self.scripts)):

modules/sd_hijack_optimizations.py

 from __future__ import annotations
 import math
-import sys
-import traceback
 import psutil
 
 import torch
@@ -11,6 +9,7 @@ from ldm.util import default
 from einops import rearrange
 
 from modules import shared, errors, devices, sub_quadratic_attention
+from modules.errors import print_error
 from modules.hypernetworks import hypernetwork
 
 import ldm.modules.attention
@@ -140,8 +139,7 @@ if shared.cmd_opts.xformers or shared.cmd_opts.force_enable_xformers:
         import xformers.ops
         shared.xformers_available = True
     except Exception:
-        print("Cannot import xformers", file=sys.stderr)
-        print(traceback.format_exc(), file=sys.stderr)
+        print_error("Cannot import xformers", exc_info=True)
 
 
 def get_available_vram():

modules/textual_inversion/textual_inversion.py

 import os
-import sys
-import traceback
 from collections import namedtuple
 
 import torch
@@ -16,6 +14,7 @@ from torch.utils.tensorboard import SummaryWriter
 
 from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint
 import modules.textual_inversion.dataset
+from modules.errors import print_error
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 
 from modules.textual_inversion.image_embedding import embedding_to_b64, embedding_from_b64, insert_image_data_embed, extract_image_data_embed, caption_image_overlay
@@ -207,8 +206,7 @@ class EmbeddingDatabase:
 
                     self.load_from_file(fullfn, fn)
                 except Exception:
-                    print(f"Error loading embedding {fn}:", file=sys.stderr)
-                    print(traceback.format_exc(), file=sys.stderr)
+                    print_error(f"Error loading embedding {fn}", exc_info=True)
                     continue
 
     def load_textual_inversion_embeddings(self, force_reload=False):
@@ -632,8 +630,7 @@ Last saved image: {html.escape(last_saved_image)}<br/>
         filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding_name}.pt')
         save_embedding(embedding, optimizer, checkpoint, embedding_name, filename, remove_cached_checksum=True)
     except Exception:
-        print(traceback.format_exc(), file=sys.stderr)
-        pass
+        print_error("Error training embedding", exc_info=True)
     finally:
         pbar.leave = False
         pbar.close()

modules/ui.py

@@ -2,7 +2,6 @@ import json
 import mimetypes
 import os
 import sys
-import traceback
 from functools import reduce
 import warnings
 
@@ -14,6 +13,7 @@ from PIL import Image, PngImagePlugin  # noqa: F401
 from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
 
 from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave
+from modules.errors import print_error
 from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML
 from modules.paths import script_path, data_path
 
@@ -231,9 +231,8 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info:
                 res = all_seeds[index if 0 <= index < len(all_seeds) else 0]
 
         except json.decoder.JSONDecodeError:
-            if gen_info_string != '':
-                print("Error parsing JSON generation info:", file=sys.stderr)
-                print(gen_info_string, file=sys.stderr)
+            if gen_info_string:
+                print_error(f"Error parsing JSON generation info: {gen_info_string}")
 
         return [res, gr_show(False)]
 
@@ -1753,8 +1752,7 @@ def create_ui():
             try:
                 results = modules.extras.run_modelmerger(*args)
             except Exception as e:
-                print("Error loading/saving model file:", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
+                print_error("Error loading/saving model file", exc_info=True)
                 modules.sd_models.list_models()  # to remove the potentially missing models from the list
                 return [*[gr.Dropdown.update(choices=modules.sd_models.checkpoint_tiles()) for _ in range(4)], f"Error merging checkpoints: {e}"]
             return results

modules/ui_extensions.py

 import json
 import os.path
-import sys
 import threading
 import time
 from datetime import datetime
-import traceback
 
 import git
 
@@ -14,6 +12,7 @@ import shutil
 import errno
 
 from modules import extensions, shared, paths, config_states
+from modules.errors import print_error
 from modules.paths_internal import config_states_dir
 from modules.call_queue import wrap_gradio_gpu_call
 
@@ -46,8 +45,7 @@ def apply_and_restart(disable_list, update_list, disable_all):
         try:
             ext.fetch_and_reset_hard()
         except Exception:
-            print(f"Error getting updates for {ext.name}:", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error(f"Error getting updates for {ext.name}", exc_info=True)
 
     shared.opts.disabled_extensions = disabled
     shared.opts.disable_all_extensions = disable_all
@@ -113,8 +111,7 @@ def check_updates(id_task, disable_list):
             if 'FETCH_HEAD' not in str(e):
                 raise
         except Exception:
-            print(f"Error checking updates for {ext.name}:", file=sys.stderr)
-            print(traceback.format_exc(), file=sys.stderr)
+            print_error(f"Error checking updates for {ext.name}", exc_info=True)
 
         shared.state.nextjob()
 

scripts/prompts_from_file.py

 import copy
 import random
-import sys
-import traceback
 import shlex
 
 import modules.scripts as scripts
 import gradio as gr
 
 from modules import sd_samplers
+from modules.errors import print_error
 from modules.processing import Processed, process_images
 from modules.shared import state
 
@@ -136,8 +135,7 @@ class Script(scripts.Script):
                 try:
                     args = cmdargs(line)
                 except Exception:
-                    print(f"Error parsing line {line} as commandline:", file=sys.stderr)
-                    print(traceback.format_exc(), file=sys.stderr)
+                    print_error(f"Error parsing line {line} as commandline", exc_info=True)
                     args = {"prompt": line}
             else:
                 args = {"prompt": line}