Added smoothstep interpolation to checkpoint merging

1 files changed, 17 insertions, 2 deletions

diff --git a/modules/extras.py b/modules/extras.py
index 2c5b1fd6..a9788e7d 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -139,16 +139,31 @@ def run_pnginfo(image):
     return '', geninfo, info

 

 

-def run_modelmerger(modelname_0, modelname_1, alpha):

+def run_modelmerger(modelname_0, modelname_1, 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)

+

+    # Smoothstep (https://en.wikipedia.org/wiki/Smoothstep)

+    def sigmoid(theta0, theta1, alpha):

+        alpha = alpha * alpha * (3 - (2 * alpha))

+        return theta0 + ((theta1 - theta0) * alpha)

+

     model_0 = torch.load('models/' + modelname_0 + '.ckpt')

     model_1 = torch.load('models/' + modelname_1 + '.ckpt')

     

     theta_0 = model_0['state_dict']

     theta_1 = model_1['state_dict']

+    theta_func = weighted_sum

+    

+    if interp_method == "Weighted Sum":

+        theta_func = weighted_sum

+    if interp_method == "Sigmoid":

+        theta_func = sigmoid

     

     for key in theta_0.keys():

         if 'model' in key and key in theta_1:

-            theta_0[key] = (1 - alpha) * theta_0[key] + alpha * theta_1[key]

+            theta_0[key] = theta_func(theta_0[key], theta_1[key], interp_amount)

     

     for key in theta_1.keys():

         if 'model' in key and key not in theta_0: