add hw6 markups

app.py

@@ -123,12 +123,14 @@ def infer(
 
 
     else:
-        print("in infer 2")
+        print("step: basic pipeline")
         pipe = StableDiffusionPipeline.from_pretrained(model_id, 
                                                        torch_dtype=torch_dtype, 
                                                        safety_checker=None) #.to(device)
+        print("step: basic pipeline done!")
 
     if lora_enable:
+        print("step: lora")
         unet_sub_dir = os.path.join(CKPT_DIR, "unet")
         text_encoder_sub_dir = os.path.join(CKPT_DIR, "text_encoder")
         adapter_name="sd-14-lora"
@@ -138,23 +140,27 @@ def infer(
             pipe.text_encoder, text_encoder_sub_dir, adapter_name=adapter_name
         )
         params['cross_attention_kwargs']={"scale": lora_scale}
+        print("step: lora done!")
 
     if torch_dtype in (torch.float16, torch.bfloat16):
         pipe.unet.half()
         pipe.text_encoder.half()
 
     if ip_adapter_enable:
+        print("step: ip_adapter_enable")
         pipe.load_ip_adapter("h94/IP-Adapter", subfolder="models", weight_name="ip-adapter-plus_sd15.bin")
         pipe.set_ip_adapter_scale(ip_adapter_scale)
         params['ip_adapter_image'] = process_control_image(ip_image, "")
+        print("step: ip_adapter_enable done!")
 
 
     # pipe.to(device)
 
-
+    print("step: start generating")
+    print(**params)
     image = pipe(**params
     ).images[0]
-
+    print("step: generating done!")
     return image, seed
 
 
@@ -210,6 +216,7 @@ with gr.Blocks(css=css) as demo:
                 max_lines=1,
                 placeholder="Enter your prompt",
                 container=False,
+                value="kawaiicat. The cat is having fun, is smiling."
             )        
             
             negative_prompt = gr.Textbox(