Added limitation and biases

README.md

@@ -37,6 +37,15 @@ These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with a ne
 **negative prompt**: low quality, monochrome, low res
 ![images_2)](./images_2.png)
 
+## Limitations and Bias
+
+- The model can't render text
+- Landscapes with fewer segments tend to render better
+- Some segmentation maps tend to render in monochrome (use a negative_prompt to get around it)
+- Some generated images can be over saturated
+- Shorter prompts usually work better, as long as it makes sense with the input segmentation map
+- The model is biased to produce more paintings images rather than realistic images, as there are a lot of paintings in the training dataset
+
 ## Training
 
 **Training Data** This model was trained using a Segmented dataset based on the [COYO-700M Dataset](https://huggingface.co/datasets/kakaobrain/coyo-700m).