Update app.py

app.py

@@ -20,9 +20,7 @@ global vae
 global text_encoder
 global tokenizer
 global noise_scheduler
-global young_val
-global pointy_val
-global bags_val
+
 device = "cuda:0"
 generator = torch.Generator(device=device)
 
@@ -181,19 +179,10 @@ def edit_inference(prompt, negative_prompt, guidance_scale, ddim_steps, seed, st
 
 
 def sample_then_run():
-    global young_val
-    global pointy_val
-    global bags_val
-    global young
-    global pointy
-    global bags
+
 
     sample_model()
         
-    young_val = network.proj@young[0]/(torch.norm(young)**2).item()
-    pointy_val = network.proj@pointy[0]/(torch.norm(pointy)**2).item()
-    bags_val = network.proj@bags[0]/(torch.norm(bags)**2).item()
-    
     prompt = "sks person"
     negative_prompt = "low quality, blurry, unfinished, cartoon"
     seed = 5