diff --git a/README.md b/README.md
index d15654d..59cc368 100644
--- a/README.md
+++ b/README.md
@@ -17,21 +17,31 @@ To clone or edit an unseen voice, VoiceCraft needs only a few seconds of referen
 - [x] Training guidance
 - [x] RealEdit dataset and training manifest
 - [x] Model weights (both 330M and 830M, the former seems to be just as good)
-- [ ] Write colab notebooks for better hands-on experience
+- [x] Write colab notebooks for better hands-on experience
 - [ ] HuggingFace Spaces demo
 - [ ] Better guidance on training/finetuning
 
 ## How to run TTS inference
-There are two ways:
-1. with docker. see [quickstart](#quickstart)
-2. without docker. see [envrionment setup](#environment-setup)
+There are three ways:
+
+1. with Google Colab. see [quickstart colab](#quickstart-colab)
+2. with docker. see [quickstart docker](#quickstart-docker)
+3. without docker. see [environment setup](#environment-setup)
 
 When you are inside the docker image or you have installed all dependencies, Checkout [`inference_tts.ipynb`](./inference_tts.ipynb).
 
 If you want to do model development such as training/finetuning, I recommend following [envrionment setup](#environment-setup) and [training](#training).
 
-## QuickStart
-:star: To try out TTS inference with VoiceCraft, the best way is using docker. Thank [@ubergarm](https://github.com/ubergarm) and [@jayc88](https://github.com/jay-c88) for making this happen.
+## QuickStart Colab
+
+:star: To try out speech editing or TTS Inference with VoiceCraft, the simplest way is using Google Colab.
+Instructions to run are on the Colab itself.
+
+1. To try [Speech Editing](https://colab.research.google.com/drive/1FV7EC36dl8UioePY1xXijXTMl7X47kR_?usp=sharing)
+2. To try [TTS Inference](https://colab.research.google.com/drive/1lch_6it5-JpXgAQlUTRRI2z2_rk5K67Z?usp=sharing)
+
+## QuickStart Docker
+:star: To try out TTS inference with VoiceCraft, you can also use docker. Thank [@ubergarm](https://github.com/ubergarm) and [@jayc88](https://github.com/jay-c88) for making this happen.
 
 Tested on Linux and Windows and should work with any host with docker installed.
 ```bash