diff --git a/modules/api/api.py b/modules/api/api.py
index 6ecaebce1..979774d13 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -264,7 +264,16 @@ class Api:
     def prepare_img_gen_request(self, request, img_gen_type: str):
         if hasattr(request, "face_id") and request.face_id and not request.script_name and (not request.alwayson_scripts or "FaceID" not in request.alwayson_scripts.keys()):
             request.script_name = "FaceID"
-            request.script_args = [request.face_id.scale, request.face_id.image]
+            request.script_args = [
+                request.face_id.model,
+                request.face_id.scale,
+                request.face_id.image,
+                request.face_id.override_sampler,
+                request.face_id.rank,
+                request.face_id.tokens,
+                request.face_id.structure,
+                request.face_id.cache_model
+            ]
             del request.face_id
 
         if hasattr(request, "ip_adapter") and request.ip_adapter and request.script_name != "IP Adapter" and (not request.alwayson_scripts or "IP Adapter" not in request.alwayson_scripts.keys()):
@@ -284,7 +293,7 @@ class Api:
             for script_name in request.alwayson_scripts.keys():
                 script_obj = request.alwayson_scripts[script_name]
 
-                if "args" in script_obj and script_obj["args"]:
+                if script_obj and "args" in script_obj and script_obj["args"]:
                     self.sanitize_args(script_obj["args"])
 
         if hasattr(request, "script_args") and request.script_args:
diff --git a/modules/api/models.py b/modules/api/models.py
index 0cd38fddc..520e061f7 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -99,8 +99,14 @@ class IPAdapterItem(BaseModel):
 
 
 class FaceIDItem(BaseModel):
+    model: str = Field(title="Model", default="FaceID Base",description="The FaceID model to use.")
     image: str = Field(title="Image", default="", description="Source face image, must be a base64 string containing the image's data.")
-    scale: float = Field(title="Scale", default=0.5, gt=0, le=1, description="Scale of the source face, must be between 0 and 1.")
+    scale: float = Field(title="Scale", default=1, gt=0, le=1, description="Scale of the source face, must be between 0 and 1.")
+    structure: float = Field(title="Structure", default=1, gt=0, le=1, description="Structure to use, must be between 0 and 1.")
+    rank: float = Field(title="Rank", default=128, ge=4, le=256, description="Rank to use, must be between 4 and 256.")
+    override_sampler: bool = Field(title="Override Sampler", default=True, description="Should the sampler be overriden?")
+    tokens: int = Field("Tokens", default=4, ge=1, le=16, description="Amount of tokens to use, must be between 1 and 16.")
+    cache_model: bool = Field(title="Cache", default=True, description="Should the model be cached?")
 
 
 StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(