Update README.md

README.md

@@ -92,6 +92,7 @@ The model was not trained to be factual or true representations of people or eve
 - The model struggles with more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere”
 - Faces and people in general may not be generated properly.
 - The autoencoding part of the model is lossy.
+- When the strength parameter is set to 1 (i.e. starting in-painting from a fully masked image), the quality of the image is degraded. The model retains the non-masked contents of the image, but images look less sharp. We're investing this and working on the next version.
 
 ### Bias
 While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.