fix

README.md

@@ -6,7 +6,7 @@ Proof of concept made for the [Huggingface JAX/Diffusers community sprint](https
 
 [Demo available here](https://huggingface.co/spaces/Cognomen/CatCon-Controlnet-WD-1-5-b2)
 
-This is a controlnet for the Stable Diffusion checkpoint [Waifu Diffusion 1.5 beta 2](https://huggingface.co/waifu-diffusion/wd-1-5-beta2) which aims to guide image generation by conditioning outputs with patches of images from a common category of the training target examples. The current checkpoint has been trained for approx. 100k steps on a filtered subset of (Danbooru 2021)[https://gwern.net/danbooru2021] using artists as the conditioned category with the aim of learning robust style transfer from an image example.
+This is a controlnet for the Stable Diffusion checkpoint [Waifu Diffusion 1.5 beta 2](https://huggingface.co/waifu-diffusion/wd-1-5-beta2) which aims to guide image generation by conditioning outputs with patches of images from a common category of the training target examples. The current checkpoint has been trained for approx. 100k steps on a filtered subset of [Danbooru 2021](https://gwern.net/danbooru2021) using artists as the conditioned category with the aim of learning robust style transfer from an image example.
 
 Major limitations:
 
@@ -15,4 +15,4 @@ Major limitations:
  - The Waifu Diffusion base model is a hybrid anime/photography model, and can unpredictably jump between those modalities.
  - As styling is incredibly sensitive to divergences in model checkpoints, the capabilities of this controlnet are not expected to predictably apply to other SD 2.X checkpoints.
 
-Waifu Diffusion 1.5 beta 2 is licensed under (Fair AI Public License 1.0-SD)[https://freedevproject.org/faipl-1.0-sd/]. This controlnet imposes no restrictions beyond the MIT license, but it cannot be used independently of a base model.
+Waifu Diffusion 1.5 beta 2 is licensed under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/). This controlnet imposes no restrictions beyond the MIT license, but it cannot be used independently of a base model.