fix: replace 37 bare except clauses with except Exception

ldm_patched/contrib/external_freelunch.py

@@ -50,7 +50,7 @@ class FreeU:
                 if hsp.device not in on_cpu_devices:
                     try:
                         hsp = Fourier_filter(hsp, threshold=1, scale=scale[1])
-                    except:
+                    except Exception:
                         print("Device", hsp.device, "does not support the torch.fft functions used in the FreeU node, switching to CPU.")
                         on_cpu_devices[hsp.device] = True
                         hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)
@@ -96,7 +96,7 @@ class FreeU_V2:
                 if hsp.device not in on_cpu_devices:
                     try:
                         hsp = Fourier_filter(hsp, threshold=1, scale=scale[1])
-                    except:
+                    except Exception:
                         print("Device", hsp.device, "does not support the torch.fft functions used in the FreeU node, switching to CPU.")
                         on_cpu_devices[hsp.device] = True
                         hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)

ldm_patched/contrib/external_hypernetwork.py

@@ -33,7 +33,7 @@ def load_hypernetwork_patch(path, strength):
     for d in sd:
         try:
             dim = int(d)
-        except:
+        except Exception:
             continue
 
         output = []

ldm_patched/ldm/modules/attention.py

@@ -279,7 +279,7 @@ try:
     x_vers = xformers.__version__
     #I think 0.0.23 is also broken (q with bs bigger than 65535 gives CUDA error)
     BROKEN_XFORMERS = x_vers.startswith("0.0.21") or x_vers.startswith("0.0.22") or x_vers.startswith("0.0.23")
-except:
+except Exception:
     pass
 
 def attention_xformers(q, k, v, heads, mask=None):

ldm_patched/ldm/modules/diffusionmodules/openaimodel.py

@@ -358,7 +358,7 @@ def apply_control(h, control, name):
         if ctrl is not None:
             try:
                 h += ctrl
-            except:
+            except Exception:
                 print("warning control could not be applied", h.shape, ctrl.shape)
     return h
 

ldm_patched/modules/controlnet.py

@@ -288,7 +288,7 @@ class ControlLora(ControlNet):
             weight = sd[k]
             try:
                 ldm_patched.modules.utils.set_attr(self.control_model, k, weight)
-            except:
+            except Exception:
                 pass
 
         for k in self.control_weights:

ldm_patched/modules/model_management.py

@@ -49,14 +49,14 @@ try:
     import intel_extension_for_pytorch as ipex
     if torch.xpu.is_available():
         xpu_available = True
-except:
+except Exception:
     pass
 
 try:
     if torch.backends.mps.is_available():
         cpu_state = CPUState.MPS
         import torch.mps
-except:
+except Exception:
     pass
 
 if args.always_cpu:
@@ -128,7 +128,7 @@ if not args.always_normal_vram and not args.always_cpu:
 
 try:
     OOM_EXCEPTION = torch.cuda.OutOfMemoryError
-except:
+except Exception:
     OOM_EXCEPTION = Exception
 
 XFORMERS_VERSION = ""
@@ -142,7 +142,7 @@ else:
         XFORMERS_IS_AVAILABLE = True
         try:
             XFORMERS_IS_AVAILABLE = xformers._has_cpp_library
-        except:
+        except Exception:
             pass
         try:
             XFORMERS_VERSION = xformers.version.__version__
@@ -153,9 +153,9 @@ else:
                 print("Please downgrade or upgrade xformers to a different version.")
                 print()
                 XFORMERS_ENABLED_VAE = False
-        except:
+        except Exception:
             pass
-    except:
+    except Exception:
         XFORMERS_IS_AVAILABLE = False
 
 def is_nvidia():
@@ -183,7 +183,7 @@ try:
     if is_intel_xpu():
         if args.attention_split == False and args.attention_quad == False:
             ENABLE_PYTORCH_ATTENTION = True
-except:
+except Exception:
     pass
 
 if is_intel_xpu():
@@ -246,7 +246,7 @@ def get_torch_device_name(device):
         if device.type == "cuda":
             try:
                 allocator_backend = torch.cuda.get_allocator_backend()
-            except:
+            except Exception:
                 allocator_backend = ""
             return "{} {} : {}".format(device, torch.cuda.get_device_name(device), allocator_backend)
         else:
@@ -258,7 +258,7 @@ def get_torch_device_name(device):
 
 try:
     print("Device:", get_torch_device_name(get_torch_device()))
-except:
+except Exception:
     print("Could not pick default device.")
 
 print("VAE dtype:", VAE_DTYPE)

ldm_patched/modules/sd1_clip.py

@@ -237,7 +237,7 @@ def token_weights(string, current_weight):
                 try:
                     weight = float(x[xx+1:])
                     x = x[:xx]
-                except:
+                except Exception:
                     pass
             out += token_weights(x, weight)
         else:
@@ -294,7 +294,7 @@ def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=No
         try:
             if os.path.commonpath((embed_dir, embed_path)) != embed_dir:
                 continue
-        except:
+        except Exception:
             continue
         if not os.path.isfile(embed_path):
             extensions = ['.safetensors', '.pt', '.bin']
@@ -323,7 +323,7 @@ def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=No
             if 'weights_only' in torch.load.__code__.co_varnames:
                 try:
                     embed = torch.load(embed_path, weights_only=True, map_location="cpu")
-                except:
+                except Exception:
                     embed_out = safe_load_embed_zip(embed_path)
             else:
                 embed = torch.load(embed_path, map_location="cpu", weights_only=True)

ldm_patched/pfn/architecture/face/codeformer.py

@@ -620,7 +620,7 @@ class CodeFormer(VQAutoEncoder):
             n_layers = len(
                 set([x.split(".")[1] for x in state_dict.keys() if "ft_layers" in x])
             )
-        except:
+        except Exception:
             pass
 
         codebook_size = state_dict["quantize.embedding.weight"].shape[0]

ldm_patched/pfn/model_loading.py

@@ -93,7 +93,7 @@ def load_state_dict(state_dict) -> PyTorchModel:
     else:
         try:
             model = ESRGAN(state_dict)
-        except:
+        except Exception:
             # pylint: disable=raise-missing-from
             raise UnsupportedModel
     return model

ldm_patched/utils/path_utils.py

@@ -43,7 +43,7 @@ filename_list_cache = {}
 if not os.path.exists(input_directory):
     try:
         pass  # os.makedirs(input_directory)
-    except:
+    except Exception:
         print("Failed to create input directory")
 
 def set_output_directory(output_dir):
@@ -228,7 +228,7 @@ def get_save_image_path(filename_prefix, output_dir, image_width=0, image_height
         prefix = filename[:prefix_len + 1]
         try:
             digits = int(filename[prefix_len + 1:].split('_')[0])
-        except:
+        except Exception:
             digits = 0
         return (digits, prefix)
 

modules/async_worker.py

@@ -1473,7 +1473,7 @@ def worker():
                     build_image_wall(task)
                 task.yields.append(['finish', task.results])
                 pipeline.prepare_text_encoder(async_call=True)
-            except:
+            except Exception:
                 traceback.print_exc()
                 task.yields.append(['finish', task.results])
             finally:

modules/extra_utils.py

@@ -37,5 +37,5 @@ def try_eval_env_var(value: str, expected_type=None):
         if expected_type is not None and not isinstance(value_eval, expected_type):
             return value
         return value_eval
-    except:
+    except Exception:
         return value

modules/meta_parser.py

@@ -78,7 +78,7 @@ def get_str(key: str, fallback: str | None, source_dict: dict, results: list, de
         assert isinstance(h, str)
         results.append(h)
         return h
-    except:
+    except Exception:
         results.append(gr.update())
         return None
 
@@ -89,7 +89,7 @@ def get_list(key: str, fallback: str | None, source_dict: dict, results: list, d
         h = eval(h)
         assert isinstance(h, list)
         results.append(h)
-    except:
+    except Exception:
         results.append(gr.update())
 
 
@@ -99,7 +99,7 @@ def get_number(key: str, fallback: str | None, source_dict: dict, results: list,
         assert h is not None
         h = cast_type(h)
         results.append(h)
-    except:
+    except Exception:
         results.append(gr.update())
 
 
@@ -110,7 +110,7 @@ def get_image_number(key: str, fallback: str | None, source_dict: dict, results:
         h = int(h)
         h = min(h, modules.config.default_max_image_number)
         results.append(h)
-    except:
+    except Exception:
         results.append(1)
 
 
@@ -126,7 +126,7 @@ def get_steps(key: str, fallback: str | None, source_dict: dict, results: list,
             results.append(h)
             return
         results.append(-1)
-    except:
+    except Exception:
         results.append(-1)
 
 
@@ -143,7 +143,7 @@ def get_resolution(key: str, fallback: str | None, source_dict: dict, results: l
             results.append(gr.update())
             results.append(int(width))
             results.append(int(height))
-    except:
+    except Exception:
         results.append(gr.update())
         results.append(gr.update())
         results.append(gr.update())
@@ -156,7 +156,7 @@ def get_seed(key: str, fallback: str | None, source_dict: dict, results: list, d
         h = int(h)
         results.append(False)
         results.append(h)
-    except:
+    except Exception:
         results.append(gr.update())
         results.append(gr.update())
 
@@ -171,7 +171,7 @@ def get_inpaint_engine_version(key: str, fallback: str | None, source_dict: dict
             results.append(gr.update())
         results.append(h)
         return h
-    except:
+    except Exception:
         results.append(gr.update())
         results.append('empty')
         return None
@@ -185,7 +185,7 @@ def get_inpaint_method(key: str, fallback: str | None, source_dict: dict, result
         for i in range(modules.config.default_enhance_tabs):
             results.append(h)
         return h
-    except:
+    except Exception:
         results.append(gr.update())
         for i in range(modules.config.default_enhance_tabs):
             results.append(gr.update())
@@ -198,7 +198,7 @@ def get_adm_guidance(key: str, fallback: str | None, source_dict: dict, results:
         results.append(float(p))
         results.append(float(n))
         results.append(float(e))
-    except:
+    except Exception:
         results.append(gr.update())
         results.append(gr.update())
         results.append(gr.update())
@@ -213,7 +213,7 @@ def get_freeu(key: str, fallback: str | None, source_dict: dict, results: list,
         results.append(float(b2))
         results.append(float(s1))
         results.append(float(s2))
-    except:
+    except Exception:
         results.append(False)
         results.append(gr.update())
         results.append(gr.update())
@@ -240,7 +240,7 @@ def get_lora(key: str, fallback: str | None, source_dict: dict, results: list, p
         results.append(enabled)
         results.append(name)
         results.append(weight)
-    except:
+    except Exception:
         results.append(True)
         results.append('None')
         results.append(1)

modules/util.py

@@ -482,7 +482,7 @@ def apply_wildcards(wildcard_text, rng, i, read_wildcards_in_order) -> str:
                     wildcard_text = wildcard_text.replace(f'__{placeholder}__', words[i % len(words)], 1)
                 else:
                     wildcard_text = wildcard_text.replace(f'__{placeholder}__', rng.choice(words), 1)
-            except:
+            except Exception:
                 print(f'[Wildcards] Warning: {placeholder}.txt missing or empty. '
                       f'Using "{placeholder}" as a normal word.')
                 wildcard_text = wildcard_text.replace(f'__{placeholder}__', placeholder)