Upload graph-byclip.py

graph-byclip.py

@@ -27,11 +27,12 @@ matplotlib.use('QT5Agg')  # Set the backend to TkAgg
 
 import matplotlib.pyplot as plt
 
-# Available models:
-#  'RN50', 'RN101', 'RN50x4', 'RN50x16', 'RN50x64', 'ViT-B/32', 'ViT-B/16', 'ViT-L/14', 'ViT-L/14@336px'
-CLIPname= "ViT-L/14"
+### The stablediffusion standard model is Vit-L/14
 #CLIPname= "ViT-B/16"
+CLIPname= "ViT-L/14"
 #CLIPname= "ViT-L/14@336px"
+# Available models:
+#  'RN50', 'RN101', 'RN50x4', 'RN50x16', 'RN50x64', 'ViT-B/32', 'ViT-B/16', 'ViT-L/14', 'ViT-L/14@336px'
 
 device=torch.device("cuda")
 print("loading CLIP model",CLIPname)
@@ -85,7 +86,7 @@ if len(text2) >0:
 # Add labels, title, and legend
 #ax.set_xlabel('Index')
 ax.set_ylabel('Values')
-ax.set_title('Comparative Graph of Two Embeddings')
+ax.set_title(f"Graph of Embeddings in {CLIPname}")
 ax.legend()
 
 # Display the graph