helper function moved

gradio_ui.py

@@ -26,7 +26,7 @@ from PIL import Image
 import torch
 from movie_util import MovieSaver
 from typing import Callable, List, Optional, Union
-from latent_blending import get_time, yml_save, LatentBlending, add_frames_linear_interp
+from latent_blending import get_time, yml_save, LatentBlending, add_frames_linear_interp, compare_dicts
 from stable_diffusion_holder import StableDiffusionHolder
 torch.set_grad_enabled(False)
 import gradio as gr
@@ -35,26 +35,6 @@ import copy
 
 #%%
 
-def compare_dicts(a, b):
-    """
-    Compares two dictionaries a and b and returns a dictionary c, with all 
-    keys,values that have shared keys in a and b but same values in a and b.
-    The values of a and b are stacked together in the output.
-    Example:
-        a = {}; a['bobo'] = 4
-        b = {}; b['bobo'] = 5
-        c = dict_compare(a,b)
-        c = {"bobo",[4,5]}
-    """
-    c = {}
-    for key in a.keys():
-        if key in b.keys():
-          val_a = a[key]  
-          val_b = b[key]  
-          if val_a != val_b:
-              c[key] = [val_a, val_b]
-    return c
-
 class BlendingFrontend():
     def __init__(self, sdh=None):
         if sdh is None:

latent_blending.py

@@ -1113,6 +1113,25 @@ def get_time(resolution=None):
         raise ValueError("bad resolution provided: %s" %resolution)
     return t
 
+def compare_dicts(a, b):
+    """
+    Compares two dictionaries a and b and returns a dictionary c, with all 
+    keys,values that have shared keys in a and b but same values in a and b.
+    The values of a and b are stacked together in the output.
+    Example:
+        a = {}; a['bobo'] = 4
+        b = {}; b['bobo'] = 5
+        c = dict_compare(a,b)
+        c = {"bobo",[4,5]}
+    """
+    c = {}
+    for key in a.keys():
+        if key in b.keys():
+          val_a = a[key]  
+          val_b = b[key]  
+          if val_a != val_b:
+              c[key] = [val_a, val_b]
+    return c
 
 def yml_load(fp_yml, print_fields=False):
     """
@@ -1144,6 +1163,8 @@ if __name__ == "__main__":
     
     sdh = StableDiffusionHolder(fp_ckpt, fp_config, device)
     
+    xxx
+    
         
     #%% Next let's set up all parameters
     quality = 'medium'