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 c4ee2b62..9c3b421d 100644 --- a/modules/extras.py +++ b/modules/extras.py @@ -140,7 +140,7 @@ def run_pnginfo(image): return '', geninfo, info
-def run_modelmerger(modelname_0, modelname_1, interp_method, interp_amount):
+def run_modelmerger(from_model_name, to_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(modelname_0, modelname_1, interp_method, interp_amount): alpha = alpha * alpha * (3 - (2 * alpha))
return theta0 + ((theta1 - theta0) * alpha)
- if os.path.exists(modelname_0):
- model0_filename = modelname_0
- modelname_0 = os.path.splitext(os.path.basename(modelname_0))[0]
+ 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]
else:
- model0_filename = 'models/' + modelname_0 + '.ckpt'
+ to_model_filename = 'models/' + to_model_name + '.ckpt'
- if os.path.exists(modelname_1):
- model1_filename = modelname_1
- modelname_1 = os.path.splitext(os.path.basename(modelname_1))[0]
+ 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]
else:
- model1_filename = 'models/' + modelname_1 + '.ckpt'
+ from_model_filename = 'models/' + from_model_name + '.ckpt'
- print(f"Loading {model0_filename}...")
- model_0 = torch.load(model0_filename, map_location='cpu')
+ print(f"Loading {to_model_filename}...")
+ model_0 = torch.load(to_model_filename, map_location='cpu')
- print(f"Loading {model1_filename}...")
- model_1 = torch.load(model1_filename, map_location='cpu')
+ print(f"Loading {from_model_filename}...")
+ model_1 = torch.load(from_model_filename, map_location='cpu')
theta_0 = model_0['state_dict']
theta_1 = model_1['state_dict']
@@ -186,7 +186,7 @@ def run_modelmerger(modelname_0, modelname_1, interp_method, interp_amount): if 'model' in key and key not in theta_0:
theta_0[key] = theta_1[key]
- output_modelname = 'models/' + modelname_0 + '-' + modelname_1 + '-' + interp_method.replace(" ", "_") + '-' + str(interp_amount) + '-merged.ckpt'
+ output_modelname = 'models/' + from_model_name + str(interp_amount) + '-' + to_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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