Update README.md

README.md

@@ -96,6 +96,20 @@ image.save("cat_with_hat.png")
 ```
 ![img](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/kandinsky-docs/inpaint_cat_hat.png)
 
+__<font color=red>Breaking change on the mask input:</font>__
+
+We introduced a breaking change for Kandinsky inpainting pipeline in the following pull request: https://github.com/huggingface/diffusers/pull/4207. Previously we accepted a mask format where black pixels represent the masked-out area. We have changed to use white pixels to represent masks instead in order to have a unified mask format across all our pipelines.
+Please upgrade your inpainting code to follow the above. If you are using Kandinsky Inpaint in production. You now need to change the mask to:
+
+```python
+# For PIL input
+import PIL.ImageOps
+mask = PIL.ImageOps.invert(mask)
+
+# For PyTorch and Numpy input
+mask = 1 - mask
+```
+
 
 ### Interpolate 
 
@@ -138,20 +152,6 @@ image.save("starry_cat.png")
 ```
 ![img](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/kandinsky-docs/starry_cat.png)
 
-__<font color=red>Breaking change on the mask input:</font>__
-
-We introduced a breaking change for Kandinsky inpainting pipeline in the following pull request: https://github.com/huggingface/diffusers/pull/4207. Previously we accepted a mask format where black pixels represent the masked-out area. We have changed to use white pixels to represent masks instead in order to have a unified mask format across all our pipelines.
-Please upgrade your inpainting code to follow the above. If you are using Kandinsky Inpaint in production. You now need to change the mask to:
-
-```python
-# For PIL input
-import PIL.ImageOps
-mask = PIL.ImageOps.invert(mask)
-
-# For PyTorch and Numpy input
-mask = 1 - mask
-```
-
 
 ## Model Architecture