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-rw-r--r--extensions-builtin/LDSR/ldsr_model_arch.py2
-rw-r--r--modules/codeformer/vqgan_arch.py4
-rw-r--r--modules/hypernetworks/hypernetwork.py4
-rw-r--r--modules/images.py2
-rw-r--r--modules/interrogate.py2
-rw-r--r--modules/safe.py8
-rw-r--r--modules/sd_models.py8
-rw-r--r--modules/sd_vae.py2
-rw-r--r--modules/textual_inversion/textual_inversion.py2
-rw-r--r--scripts/prompts_from_file.py2
10 files changed, 18 insertions, 18 deletions
diff --git a/extensions-builtin/LDSR/ldsr_model_arch.py b/extensions-builtin/LDSR/ldsr_model_arch.py
index f5bd8ae4..0ad49f4e 100644
--- a/extensions-builtin/LDSR/ldsr_model_arch.py
+++ b/extensions-builtin/LDSR/ldsr_model_arch.py
@@ -26,7 +26,7 @@ class LDSR:
global cached_ldsr_model
if shared.opts.ldsr_cached and cached_ldsr_model is not None:
- print(f"Loading model from cache")
+ print("Loading model from cache")
model: torch.nn.Module = cached_ldsr_model
else:
print(f"Loading model from {self.modelPath}")
diff --git a/modules/codeformer/vqgan_arch.py b/modules/codeformer/vqgan_arch.py
index c06c590c..e7293683 100644
--- a/modules/codeformer/vqgan_arch.py
+++ b/modules/codeformer/vqgan_arch.py
@@ -382,7 +382,7 @@ class VQAutoEncoder(nn.Module):
self.load_state_dict(torch.load(model_path, map_location='cpu')['params'])
logger.info(f'vqgan is loaded from: {model_path} [params]')
else:
- raise ValueError(f'Wrong params!')
+ raise ValueError('Wrong params!')
def forward(self, x):
@@ -431,7 +431,7 @@ class VQGANDiscriminator(nn.Module):
elif 'params' in chkpt:
self.load_state_dict(torch.load(model_path, map_location='cpu')['params'])
else:
- raise ValueError(f'Wrong params!')
+ raise ValueError('Wrong params!')
def forward(self, x):
return self.main(x) \ No newline at end of file
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 3182ff03..109e8078 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -277,7 +277,7 @@ def load_hypernetwork(filename):
print(traceback.format_exc(), file=sys.stderr)
else:
if shared.loaded_hypernetwork is not None:
- print(f"Unloading hypernetwork")
+ print("Unloading hypernetwork")
shared.loaded_hypernetwork = None
@@ -443,7 +443,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, gradient_step,
initial_step = hypernetwork.step or 0
if initial_step >= steps:
- shared.state.textinfo = f"Model has already been trained beyond specified max steps"
+ shared.state.textinfo = "Model has already been trained beyond specified max steps"
return hypernetwork, filename
scheduler = LearnRateScheduler(learn_rate, steps, initial_step)
diff --git a/modules/images.py b/modules/images.py
index 809ad9f7..31d4528d 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -599,7 +599,7 @@ 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(f"Error parsing NovelAI image generation parameters:", file=sys.stderr)
+ print("Error parsing NovelAI image generation parameters:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
return geninfo, items
diff --git a/modules/interrogate.py b/modules/interrogate.py
index 0068b81c..46935210 100644
--- a/modules/interrogate.py
+++ b/modules/interrogate.py
@@ -172,7 +172,7 @@ class InterrogateModels:
res += ", " + match
except Exception:
- print(f"Error interrogating", file=sys.stderr)
+ print("Error interrogating", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
res += "<error>"
diff --git a/modules/safe.py b/modules/safe.py
index ec23a53c..82d44be3 100644
--- a/modules/safe.py
+++ b/modules/safe.py
@@ -137,15 +137,15 @@ def load_with_extra(filename, extra_handler=None, *args, **kwargs):
except pickle.UnpicklingError:
print(f"Error verifying pickled file from {filename}:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
- print(f"-----> !!!! The file is most likely corrupted !!!! <-----", file=sys.stderr)
- print(f"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("-----> !!!! 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)
return None
except Exception:
print(f"Error verifying pickled file from {filename}:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
- print(f"\nThe file may be malicious, so the program is not going to read it.", file=sys.stderr)
- print(f"You can skip this check with --disable-safe-unpickle commandline argument.\n\n", 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)
return None
return unsafe_torch_load(filename, *args, **kwargs)
diff --git a/modules/sd_models.py b/modules/sd_models.py
index 6ca06211..ecdd91c5 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -117,13 +117,13 @@ def select_checkpoint():
return checkpoint_info
if len(checkpoints_list) == 0:
- print(f"No checkpoints found. When searching for checkpoints, looked at:", file=sys.stderr)
+ print("No checkpoints found. When searching for checkpoints, looked at:", file=sys.stderr)
if shared.cmd_opts.ckpt is not None:
print(f" - file {os.path.abspath(shared.cmd_opts.ckpt)}", file=sys.stderr)
print(f" - directory {model_path}", file=sys.stderr)
if shared.cmd_opts.ckpt_dir is not None:
print(f" - directory {os.path.abspath(shared.cmd_opts.ckpt_dir)}", file=sys.stderr)
- print(f"Can't run without a checkpoint. Find and place a .ckpt file into any of those locations. The program will exit.", file=sys.stderr)
+ print("Can't run without a checkpoint. Find and place a .ckpt file into any of those locations. The program will exit.", file=sys.stderr)
exit(1)
checkpoint_info = next(iter(checkpoints_list.values()))
@@ -324,7 +324,7 @@ def load_model(checkpoint_info=None):
script_callbacks.model_loaded_callback(sd_model)
- print(f"Model loaded.")
+ print("Model loaded.")
return sd_model
@@ -359,5 +359,5 @@ def reload_model_weights(sd_model=None, info=None):
if not shared.cmd_opts.lowvram and not shared.cmd_opts.medvram:
sd_model.to(devices.device)
- print(f"Weights loaded.")
+ print("Weights loaded.")
return sd_model
diff --git a/modules/sd_vae.py b/modules/sd_vae.py
index 25638a83..3856418e 100644
--- a/modules/sd_vae.py
+++ b/modules/sd_vae.py
@@ -208,5 +208,5 @@ def reload_vae_weights(sd_model=None, vae_file="auto"):
if not shared.cmd_opts.lowvram and not shared.cmd_opts.medvram:
sd_model.to(devices.device)
- print(f"VAE Weights loaded.")
+ print("VAE Weights loaded.")
return sd_model
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index daf3997b..f6112578 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -263,7 +263,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
initial_step = embedding.step or 0
if initial_step >= steps:
- shared.state.textinfo = f"Model has already been trained beyond specified max steps"
+ shared.state.textinfo = "Model has already been trained beyond specified max steps"
return embedding, filename
scheduler = LearnRateScheduler(learn_rate, steps, initial_step)
diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
index 6e118ddb..e8386ed2 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -140,7 +140,7 @@ class Script(scripts.Script):
try:
args = cmdargs(line)
except Exception:
- print(f"Error parsing line [line] as commandline:", file=sys.stderr)
+ print(f"Error parsing line {line} as commandline:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
args = {"prompt": line}
else:
generated by cgit v1.2.3 (git 2.25.1) at 2025-04-28 16:35:26 +0000