Update README.md

README.md

@@ -6,6 +6,7 @@ tags:
 - controlnet
 - stable-diffusion
 - controlnet-v1-1
+- image-to-image
 duplicated_from: ControlNet-1-1-preview/control_v11p_sd15_mlsd
 ---
 
@@ -152,10 +153,13 @@ on a different type of conditioning:
 |[lllyasviel/control_v11e_sd15_shuffle](https://huggingface.co/lllyasviel/control_v11e_sd15_shuffle)<br/> Trained with image shuffling | An image with shuffled patches or regions.|<a href="https://huggingface.co/lllyasviel/control_v11e_sd15_shuffle/resolve/main/images/control.png"><img width="64" style="margin:0;padding:0;" src="https://huggingface.co/lllyasviel/control_v11e_sd15_shuffle/resolve/main/images/control.png"/></a>|<a href="https://huggingface.co/lllyasviel/control_v11e_sd15_shuffle/resolve/main/images/image_out.png"><img width="64" src="https://huggingface.co/lllyasviel/control_v11e_sd15_shuffle/resolve/main/images/image_out.png"/></a>|
 
 
-### Training
+## Improvements in MLSD 1.1:
 
-TODO
+- The training dataset of previous cnet 1.0 has several problems including (1) a small group of greyscale human images are duplicated thousands of times (!!), causing the previous model somewhat likely to generate grayscale human images; (2) some images has low quality, very blurry, or significant JPEG artifacts; (3) a small group of images has wrong paired prompts caused by a mistake in our data processing scripts. The new model fixed all problems of the training dataset and should be more reasonable in many cases.
+- We enlarged the training dataset by adding 300K more images by using MLSD to find images with more than 16 straight lines in it.
+- Some reasonable data augmentations are applied to training, like random left-right flipping.
+- Resumed from MLSD 1.0 with continued training with 200 GPU hours of A100 80G.
 
-### Blog post
+## More information
 
-For more information, please also have a look at the [Diffusers ControlNet Blog Post](https://huggingface.co/blog/controlnet).
+For more information, please also have a look at the [Diffusers ControlNet Blog Post](https://huggingface.co/blog/controlnet) and have a look at the [official docs](https://github.com/lllyasviel/ControlNet-v1-1-nightly).