fix: fix inference endpoint

handler.py

@@ -142,7 +142,7 @@ class EndpointHandler():
         height = data.pop("height", 1024)
         width = data.pop("width", 1024)
         controlnet_conditioning_scale = data.pop(
-            "controlnet_conditioning_scale", None)
+            "controlnet_conditioning_scale", 1.0)
 
         # process image
         image = self.decode_base64_image(image)
@@ -161,7 +161,7 @@ class EndpointHandler():
             num_inference_steps=num_inference_steps,
             guidance_scale=guidance_scale,
             num_images_per_prompt=num_of_images,
-            controlnet_conditioning_scale=controlnet_conditioning_scale if controlnet_conditioning_scale is not None else [1.0, 0.8],
+            controlnet_conditioning_scale=controlnet_conditioning_scale,
             generator=self.generator
         ).images[0]