aa

app.py

@@ -16,7 +16,34 @@ pipe.to("cuda")
 pipe.enable_xformers_memory_efficient_attention()
 pipe.unet.to(memory_format=torch.channels_last)
 
-help_text = """ """
+help_text = """ 
+**Note: Please be advised that a safety checker has been implemented in this public space. 
+    Any attempts to generate inappropriate or NSFW images will result in the display of a black screen 
+    as a precautionary measure to protect all users. We appreciate your cooperation in 
+    maintaining a safe and appropriate environment for all members of our community.**
+    
+    New features and bug-fixes: 
+    
+    1. Chat style interface
+    2. Now use **'reverse'** as prompt to get back the previous image after an unwanted edit
+    3. Use **'restart'** as prompt to get back to original image and start over!
+    4. Now you can load larger image files (~5 mb) as well
+
+Some notes from the official [instruct-pix2pix](https://huggingface.co/spaces/timbrooks/instruct-pix2pix) Space by the authors and from the 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 previous(image):
     return image