diff --git a/fhe-endpoints.md b/fhe-endpoints.md
index fe2633146d6..8226f614fdc 100644
--- a/fhe-endpoints.md
+++ b/fhe-endpoints.md
@@ -25,14 +25,29 @@ Like with any other model available on the Hugging Face platform, select _Deploy
 
 ![Alt text](assets/fhe-endpoints/inference_endpoint.png "Inference Endpoint (dedicated)")
 
+<p align="center">
+ <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/fhe-endpoints/inference_endpoint.png" alt="Inference Endpoint (dedicated)" style="width: 90%; height: auto;"><be>
+<em>Inference Endpoint (dedicated)</em>
+</p>
+
 Next, choose the Endpoint name or the region, and most importantly, the CPU (Concrete ML models do not use GPUs for now; we are [working](https://www.zama.ai/post/tfhe-rs-v0-5) on it) as well as the best machine available - in the example below we chose eight vCPU. Now click on _Create Endpoint_ and wait for the initialization to finish.
 
 ![Alt text](assets/fhe-endpoints/create_endpoint.png "Create Endpoint")
 
+<p align="center">
+ <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/fhe-endpoints/create_endpoint.png" alt="Create Endpoint" style="width: 90%; height: auto;"><be>
+<em>Create Endpoint</em>
+</p>
+
 After a few seconds, the Endpoint is deployed, and your privacy-preserving model is ready to operate.
 
 ![Alt text](assets/fhe-endpoints/endpoint_is_created.png "Endpoint is created")
 
+<p align="center">
+ <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/fhe-endpoints/endpoint_is_created.png" alt="Endpoint is created" style="width: 90%; height: auto;"><be>
+<em>Endpoint is created</em>
+</p>
+
 > [!NOTE]: Don’t forget to delete the Endpoint (or at least pause it) when you are no longer using it, or else it will cost more than anticipated.
 
 ## Using the Endpoint
@@ -43,6 +58,11 @@ The goal is not only to deploy your Endpoint but also to let your users play wit
 
 ![Alt text](assets/fhe-endpoints/clone_repository.png "Clone Repository")
 
+<p align="center">
+ <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/fhe-endpoints/clone_repository.png" alt="Clone Repository" style="width: 90%; height: auto;"><be>
+<em>Clone Repository</em>
+</p>
+
 They will be given a small command line that they can run in their terminal:
 
 ```bash