Update README.md

README.md

@@ -12,9 +12,48 @@ For a detailed example of usage, refer to [this notebook](https://github.com/app
 2. Pop it off the memory to gain VRAM.
 3. Loads the InstructPix2Pix pipeline and performs editing. 
 
-💡 MGIE needs additional set up steps that are important to follow before running inference. Please refer to the repository for those instructions. Importantly, it needs you to merge the LLaVA weight deltas with the original LLaMA parameters. More details are in the repository. 
+💡 MGIE needs additional set up steps that are important to follow before running inference. Please refer to the
+repository for those instructions. Importantly, it needs you to merge the LLaVA weight deltas with
+the original LLaMA parameters. More details are in the repository. 
 
 
+## Processing ultra high-resolution images
+
+Since the [InstructPi2xPi2x pipeline](https://huggingface.co/docs/diffusers/main/en/api/pipelines/pix2pix) doesn't do any internal processing
+to resize the input images, you might get OOMs when processing ultra high-resolution images
+like [this one](https://i.imgur.com/CiAbKbS.jpg).
+
+So, it's recommended to resize them, preserving their aspect-ratio. Here's a utility function that can be leveraged here: 
+
+```python
+from diffusers.utils import load_image
+
+def resize_image_aspect_ratio(img_url, base_width=None, base_height=None):
+    # Load the image
+    img = load_image(img_url).convert("RGB")
+
+    # Get the current width and height of the image
+    width, height = img.size
+
+    # Calculate the new dimensions based on the aspect ratio
+    if base_width is not None:
+        # Calculate new height based on the base_width to maintain aspect ratio
+        w_percent = (base_width / float(width))
+        h_size = int((float(height) * float(w_percent)))
+        new_size = (base_width, h_size)
+    elif base_height is not None:
+        # Calculate new width based on the base_height to maintain aspect ratio
+        h_percent = (base_height / float(height))
+        w_size = int((float(width) * float(h_percent)))
+        new_size = (w_size, base_height)
+    else:
+        raise ValueError("Either base_width or base_height must be provided")
+
+    # Resize the image
+    resized_img = img.resize(new_size, Image.ANTIALIAS)
+    return resized_img
+```
+
 ## Citation
 
 ```