Update app.py

app.py

@@ -343,12 +343,14 @@ description = r"""
 
 Steps:<br>
 1. Upload an image with a face. If multiple faces are detected, we use the largest one. For images with already tightly cropped faces, detection may fail, try images with a larger margin.
-2. Enter a text prompt, as done in normal text-to-image models. It is highly recomended to describe the person in the text prompt - as a suffix \n
-    A Caucasian female with white skin, brown eyes, gray hair, and long hair. \n
-    A Caucasian male with short brown hair and a beard. \n
-    A male with brown skin and black short hair. \n
-    A female with brown hair and glasses.
-3. Click <b>Submit</b> to generate new images of the subject.
+2. Enter a text prompt, as done in normal text-to-image models. It is highly recomended to describe the person in the text prompt - as a suffix, e.g., <br>
+    A Caucasian female with white skin, brown eyes, gray hair, and long hair.<br>
+    A Caucasian male with short brown hair and a beard.<br>
+    A male with brown skin and black short hair.<br>
+    A female with brown hair and glasses.<br>
+3. (Optional) Choose one the given LoRA's to explore more styles and capabilities.
+4. Click <b>Submit</b> to generate new images of the subject.
+5. Remember to try different configurations (try to change the scales given in the advanced section)
 """
 # 3. (Optional) You can upload your own style images to be used with IP-adapter 
 
@@ -375,8 +377,8 @@ with gr.Blocks(css=css) as demo:
             # Textbox for entering a prompt
             prompt = gr.Textbox(
             label="Prompt", 
-            placeholder="Enter your prompt here", 
-            info="Describe what you want to generate or modify in the image."
+            placeholder="Enter your prompt here, recomended to start with short description of the ID", 
+            info="Describe what you want to generate or modify in the image. It is recomended to start with description of the ID (see examples above)."
             )
 
             lora_name = gr.Dropdown(choices=lora_names, label="LoRA", value="",  info="Select a LoRA name from the list, not selecting any will disable LoRA.")