Update app.py

app.py

@@ -69,8 +69,8 @@ def generate(prompt,
     ):
     slider_x = [concept_2, concept_1]
     # check if avg diff for directions need to be re-calculated
-    print("slider_x", slider_x)
-    print("x_concept_1", x_concept_1, "x_concept_2", x_concept_2)
+    #print("slider_x", slider_x)
+    #print("x_concept_1", x_concept_1, "x_concept_2", x_concept_2)
     if randomize_seed:
             seed = random.randint(0, MAX_SEED)
         

clip_slider_pipeline.py

@@ -412,7 +412,6 @@ class CLIPSliderFlux(CLIPSlider):
         # if pooler token only [-4,4] work well
 
         with torch.no_grad():
-            print("WTF 1.25")
             text_inputs = self.pipe.tokenizer(
                 prompt,
                 padding="max_length",
@@ -454,11 +453,9 @@ class CLIPSliderFlux(CLIPSlider):
             if avg_diff_2nd is not None:
                 pooled_prompt_embeds += avg_diff_2nd * scale_2nd
 
-            print("WTF 1.5")
             torch.manual_seed(seed)
             images = self.pipe(prompt_embeds=prompt_embeds, pooled_prompt_embeds=pooled_prompt_embeds,
                                **pipeline_kwargs).images
-            print("WTF 1.75")
 
         return images[0]