diff --git a/docs/docs/features/ml-hardware-acceleration.md b/docs/docs/features/ml-hardware-acceleration.md
index 685f23932c..059cf9a115 100644
--- a/docs/docs/features/ml-hardware-acceleration.md
+++ b/docs/docs/features/ml-hardware-acceleration.md
@@ -86,8 +86,8 @@ You do not need to redo any machine learning jobs after enabling hardware accele
 ## Setup
 
 1. If you do not already have it, download the latest [`hwaccel.ml.yml`][hw-file] file and ensure it's in the same folder as the `docker-compose.yml`.
-2. In the `docker-compose.yml` under `immich-machine-learning`, uncomment the `extends` section and change `cpu` to the appropriate backend.
-3. Still in `immich-machine-learning`, add one of -[armnn, cuda, rocm, openvino, rknn] to the `image` section's tag at the end of the line.
+2. In `immich-machine-learning`, add one of -[armnn, cuda, rocm, openvino, rknn] to the `image` section's tag at the end of the line.
+3. Still in the `docker-compose.yml` under `immich-machine-learning`, uncomment the `extends` section and change `cpu` to the appropriate backend.
 4. Redeploy the `immich-machine-learning` container with these updated settings.
 
 ### Confirming Device Usage