add handler.py

handler.py

@@ -0,0 +1,20 @@
+from typing import Dict, List, Any
+from diffusers import DiffusionPipeline
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        # Preload all the elements you are going to need at inference.
+        self.pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
+        self.pipeline.load_lora_weights("artificialguybr/LogoRedmond-LogoLoraForSDXL")
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+        data args:
+            inputs (:obj: `str` | `PIL.Image` | `np.array`)
+            kwargs
+        Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        # Use self.pipeline for inference
+        # result = self.pipeline(your_input_data)
+        # return result