update layout

app.py

@@ -6,14 +6,37 @@ import random
 from PIL import Image
 from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
 
+#Loading from Diffusers Library
 model_id = "timbrooks/instruct-pix2pix"
 pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision="fp16", safety_checker=None)
 pipe.to("cuda")
 pipe.enable_attention_slicing()
 
-#seed = random.randint(0, 1000000)
 counter = 0
-#print(f"SEED IS : {seed}")
+
+image_guidance_scale (`float`, *optional*, defaults to 1.5):
+
+help_text = """ Note: I will try to add the functionality to revert your changes to previous/original image in future versions of space. For now only forward editing is available.
+
+From the official Space by the authors [instruct-pix2pix](https://huggingface.co/spaces/timbrooks/instruct-pix2pix) 
+and from official [Diffusers docs](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/pix2pix) -
+
+If you're not getting what you want, there may be a few reasons:
+1. Is the image not changing enough? Your guidance_scale may be too low. It should be >1. Higher guidance scale encourages to generate images 
+that are closely linked to the text `prompt`, usually at the expense of lower image quality. This value dictates how similar the output should 
+be to the input. This pipeline requires a value of at least `1`. It's possible your edit requires larger changes from the original image. 
+                
+2. Alternatively, you can toggle image_guidance_scale. Image guidance scale is to push the generated image towards the inital image. Image guidance 
+                scale is enabled by setting `image_guidance_scale > 1`. Higher image guidance scale encourages to generate images that are closely 
+                linked to the source image `image`, usually at the expense of lower image quality.  
+
+3. I have observed that rephrasing the instruction sometimes improves results (e.g., "turn him into a dog" vs. "make him a dog" vs. "as a dog").
+
+4. Increasing the number of steps sometimes improves results.
+
+5. Do faces look weird? The Stable Diffusion autoencoder has a hard time with faces that are small in the image. Try:
+    * Cropping the image so the face takes up a larger portion of the frame.
+"""
 
 def chat(image_in, message, history, progress=gr.Progress(track_tqdm=True)):
     progress(0, desc="Starting...")
@@ -40,7 +63,7 @@ def chat(image_in, message, history, progress=gr.Progress(track_tqdm=True)):
     return history, history
 
 with gr.Blocks() as demo:
-    gr.HTML("""<h1> Chat Interface with InstructPix2Pix: Give Image Editing Instructions </h1>
+    gr.Markdown("""<h1><center> Chat Interface with InstructPix2Pix: Give Image Editing Instructions </h1></center>
     <p>For faster inference without waiting in the queue, you may duplicate the space and upgrade to GPU in settings.<br/>
     <a href="https://huggingface.co/spaces/ysharma/InstructPix2Pix_Chatbot?duplicate=true">
     <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>