diff options
Diffstat (limited to 'modules/extras.py')
| -rw-r--r-- | modules/extras.py | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/modules/extras.py b/modules/extras.py index 9e1efeda..90968352 100644 --- a/modules/extras.py +++ b/modules/extras.py @@ -140,7 +140,7 @@ def run_pnginfo(image): return '', geninfo, info
-def run_modelmerger(from_model_name, to_model_name, interp_method, interp_amount):
+def run_modelmerger(primary_model_name, secondary_model_name, interp_method, interp_amount):
# Linear interpolation (https://en.wikipedia.org/wiki/Linear_interpolation)
def weighted_sum(theta0, theta1, alpha):
return ((1 - alpha) * theta0) + (alpha * theta1)
@@ -150,23 +150,23 @@ def run_modelmerger(from_model_name, to_model_name, interp_method, interp_amount alpha = alpha * alpha * (3 - (2 * alpha))
return theta0 + ((theta1 - theta0) * alpha)
- if os.path.exists(to_model_name):
- to_model_filename = to_model_name
- to_model_name = os.path.splitext(os.path.basename(to_model_name))[0]
+ if os.path.exists(secondary_model_name):
+ secondary_model_filename = secondary_model_name
+ secondary_model_name = os.path.splitext(os.path.basename(secondary_model_name))[0]
else:
- to_model_filename = 'models/' + to_model_name + '.ckpt'
+ secondary_model_filename = 'models/' + secondary_model_name + '.ckpt'
- if os.path.exists(from_model_name):
- from_model_filename = from_model_name
- from_model_name = os.path.splitext(os.path.basename(from_model_name))[0]
+ if os.path.exists(primary_model_name):
+ primary_model_filename = primary_model_name
+ primary_model_name = os.path.splitext(os.path.basename(primary_model_name))[0]
else:
- from_model_filename = 'models/' + from_model_name + '.ckpt'
+ primary_model_filename = 'models/' + primary_model_name + '.ckpt'
- print(f"Loading {to_model_filename}...")
- model_0 = torch.load(to_model_filename, map_location='cpu')
+ print(f"Loading {secondary_model_filename}...")
+ model_0 = torch.load(secondary_model_filename, map_location='cpu')
- print(f"Loading {from_model_filename}...")
- model_1 = torch.load(from_model_filename, map_location='cpu')
+ print(f"Loading {primary_model_filename}...")
+ model_1 = torch.load(primary_model_filename, map_location='cpu')
theta_0 = model_0['state_dict']
theta_1 = model_1['state_dict']
@@ -186,7 +186,7 @@ def run_modelmerger(from_model_name, to_model_name, interp_method, interp_amount if 'model' in key and key not in theta_0:
theta_0[key] = theta_1[key]
- output_modelname = 'models/' + from_model_name + '_' + str(interp_amount) + '-' + to_model_name + '_' + str(float(1.0) - interp_amount) + '-' + interp_method.replace(" ", "_") + '-merged.ckpt'
+ output_modelname = 'models/' + primary_model_name + '_' + str(interp_amount) + '-' + secondary_model_name + '_' + str(float(1.0) - interp_amount) + '-' + interp_method.replace(" ", "_") + '-merged.ckpt'
print(f"Saving to {output_modelname}...")
torch.save(model_0, output_modelname)
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