diff --git a/docs/en/hub/inference-api.md b/docs/en/hub/inference-api.md
index 0c79759b..b532e815 100644
--- a/docs/en/hub/inference-api.md
+++ b/docs/en/hub/inference-api.md
@@ -66,14 +66,14 @@ To access the [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API u
 ```python
 import requests
 
-# API URL, use actual MODEL_ID
-url = "https://api.ultralytics.com/v1/predict/MODEL_ID"
+# API URL
+url = "https://predict.ultralytics.com"
 
 # Headers, use actual API_KEY
 headers = {"x-api-key": "API_KEY"}
 
-# Inference arguments (optional)
-data = {"imgsz": 640, "conf": 0.25, "iou": 0.45}
+# Inference arguments (use actual MODEL_ID)
+data = {"model": "https://hub.ultralytics.com/models/MODEL_ID", "imgsz": 640, "conf": 0.25, "iou": 0.45}
 
 # Load image and send request
 with open("path/to/image.jpg", "rb") as image_file:
@@ -94,8 +94,9 @@ print(response.json())
 To access the [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API using cURL, use the following code:
 
 ```bash
-curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
-	-H "x-api-key: API_KEY" \
+curl -X POST "https://predict.ultralytics.com" \
+  -H "x-api-key: API_KEY" \
+  -F "model=https://hub.ultralytics.com/models/MODEL_ID" \
 	-F "file=@/path/to/image.jpg" \
 	-F "imgsz=640" \
 	-F "conf=0.25" \
@@ -145,8 +146,9 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
     === "cURL"
 
         ```bash
-        curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
+        curl -X POST "https://predict.ultralytics.com" \
             -H "x-api-key: API_KEY" \
+            -F "model=https://hub.ultralytics.com/models/MODEL_ID" \
             -F "file=@/path/to/image.jpg" \
             -F "imgsz=640" \
             -F "conf=0.25" \
@@ -158,14 +160,14 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
         ```python
         import requests
 
-        # API URL, use actual MODEL_ID
-        url = "https://api.ultralytics.com/v1/predict/MODEL_ID"
+        # API URL
+        url = "https://predict.ultralytics.com"
 
         # Headers, use actual API_KEY
         headers = {"x-api-key": "API_KEY"}
 
-        # Inference arguments (optional)
-        data = {"imgsz": 640, "conf": 0.25, "iou": 0.45}
+        # Inference arguments (use actual MODEL_ID)
+        data = {"model": "https://hub.ultralytics.com/models/MODEL_ID", "imgsz": 640, "conf": 0.25, "iou": 0.45}
 
         # Load image and send request
         with open("path/to/image.jpg", "rb") as image_file:
@@ -225,8 +227,9 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
     === "cURL"
 
         ```bash
-        curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
+        curl -X POST "https://predict.ultralytics.com" \
             -H "x-api-key: API_KEY" \
+            -F "model=https://hub.ultralytics.com/models/MODEL_ID" \
             -F "file=@/path/to/image.jpg" \
             -F "imgsz=640" \
             -F "conf=0.25" \
@@ -238,14 +241,14 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
         ```python
         import requests
 
-        # API URL, use actual MODEL_ID
-        url = "https://api.ultralytics.com/v1/predict/MODEL_ID"
+        # API URL
+        url = "https://predict.ultralytics.com"
 
         # Headers, use actual API_KEY
         headers = {"x-api-key": "API_KEY"}
 
-        # Inference arguments (optional)
-        data = {"imgsz": 640, "conf": 0.25, "iou": 0.45}
+        # Inference arguments (use actual MODEL_ID)
+        data = {"model": "https://hub.ultralytics.com/models/MODEL_ID", "imgsz": 640, "conf": 0.25, "iou": 0.45}
 
         # Load image and send request
         with open("path/to/image.jpg", "rb") as image_file:
@@ -311,8 +314,9 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
     === "cURL"
 
         ```bash
-        curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
+        curl -X POST "https://predict.ultralytics.com" \
             -H "x-api-key: API_KEY" \
+            -F "model=https://hub.ultralytics.com/models/MODEL_ID" \
             -F "file=@/path/to/image.jpg" \
             -F "imgsz=640" \
             -F "conf=0.25" \
@@ -324,14 +328,14 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
         ```python
         import requests
 
-        # API URL, use actual MODEL_ID
-        url = "https://api.ultralytics.com/v1/predict/MODEL_ID"
+        # API URL
+        url = "https://predict.ultralytics.com"
 
         # Headers, use actual API_KEY
         headers = {"x-api-key": "API_KEY"}
 
-        # Inference arguments (optional)
-        data = {"imgsz": 640, "conf": 0.25, "iou": 0.45}
+        # Inference arguments (use actual MODEL_ID)
+        data = {"model": "https://hub.ultralytics.com/models/MODEL_ID", "imgsz": 640, "conf": 0.25, "iou": 0.45}
 
         # Load image and send request
         with open("path/to/image.jpg", "rb") as image_file:
@@ -401,8 +405,9 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
     === "cURL"
 
         ```bash
-        curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
+        curl -X POST "https://predict.ultralytics.com" \
             -H "x-api-key: API_KEY" \
+            -F "model=https://hub.ultralytics.com/models/MODEL_ID" \
             -F "file=@/path/to/image.jpg" \
             -F "imgsz=640" \
             -F "conf=0.25" \
@@ -414,14 +419,14 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
         ```python
         import requests
 
-        # API URL, use actual MODEL_ID
-        url = "https://api.ultralytics.com/v1/predict/MODEL_ID"
+        # API URL
+        url = "https://predict.ultralytics.com"
 
         # Headers, use actual API_KEY
         headers = {"x-api-key": "API_KEY"}
 
-        # Inference arguments (optional)
-        data = {"imgsz": 640, "conf": 0.25, "iou": 0.45}
+        # Inference arguments (use actual MODEL_ID)
+        data = {"model": "https://hub.ultralytics.com/models/MODEL_ID", "imgsz": 640, "conf": 0.25, "iou": 0.45}
 
         # Load image and send request
         with open("path/to/image.jpg", "rb") as image_file:
@@ -501,8 +506,9 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
     === "cURL"
 
         ```bash
-        curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
+        curl -X POST "https://predict.ultralytics.com" \
             -H "x-api-key: API_KEY" \
+            -F "model=https://hub.ultralytics.com/models/MODEL_ID" \
             -F "file=@/path/to/image.jpg" \
             -F "imgsz=640" \
             -F "conf=0.25" \
@@ -514,14 +520,14 @@ The [Ultralytics HUB](https://www.ultralytics.com/hub) Inference API returns a J
         ```python
         import requests
 
-        # API URL, use actual MODEL_ID
-        url = "https://api.ultralytics.com/v1/predict/MODEL_ID"
+        # API URL
+        url = "https://predict.ultralytics.com"
 
         # Headers, use actual API_KEY
         headers = {"x-api-key": "API_KEY"}
 
-        # Inference arguments (optional)
-        data = {"imgsz": 640, "conf": 0.25, "iou": 0.45}
+        # Inference arguments (use actual MODEL_ID)
+        data = {"model": "https://hub.ultralytics.com/models/MODEL_ID", "imgsz": 640, "conf": 0.25, "iou": 0.45}
 
         # Load image and send request
         with open("path/to/image.jpg", "rb") as image_file:
diff --git a/docs/mkdocs_github_authors.yaml b/docs/mkdocs_github_authors.yaml
index 31526516..e76e6a2e 100644
--- a/docs/mkdocs_github_authors.yaml
+++ b/docs/mkdocs_github_authors.yaml
@@ -133,6 +133,9 @@ sometimesocrazy@gmail.com:
 stormsson@users.noreply.github.com:
   avatar: https://avatars.githubusercontent.com/u/1133032?v=4
   username: stormsson
+waxmann.sergiu@me.com:
+  avatar: https://avatars.githubusercontent.com/u/47978446?v=4
+  username: sergiuwaxmann
 web@ultralytics.com:
   avatar: https://avatars.githubusercontent.com/u/135830346?v=4
   username: UltralyticsAssistant