guidance scale default and no collected imgs

app.py

@@ -59,10 +59,6 @@ def replace_concept_tokens(text: str):
         text = text.replace(concept_token, dummy_tokens)
     return text
 
-
-all_imgs = []
-
-
 def inference(prompt: str, guidance_scale: int, num_inference_steps: int, seed: int):
     prompt = replace_concept_tokens(prompt)
     generator = torch.Generator(device=device).manual_seed(seed)
@@ -76,8 +72,7 @@ def inference(prompt: str, guidance_scale: int, num_inference_steps: int, seed:
     filtered_imgs = [
         img if not nsfw else NSFW_IMAGE for img, nsfw in zip(img_list, nsfw_list)
     ]
-    all_imgs.extend(filtered_imgs)
-    return all_imgs
+    return filtered_imgs
 
 
 css = """
@@ -306,7 +301,7 @@ with block:
                 label="Steps", minimum=1, maximum=80, value=40, step=1
             )
             guidance_scale = gr.Slider(
-                label="Guidance Scale", minimum=1.0, maximum=25.0, value=4.0, step=0.1
+                label="Guidance Scale", minimum=1.0, maximum=25.0, value=7.5, step=0.1
             )
             seed = gr.Slider(
                 label="Seed",