Add adapter conditioning scale and factor to handler

handler.py

@@ -81,6 +81,9 @@ class EndpointHandler():
         # get inputs
         inputs = data.pop("inputs", "")
         encoded_image = data.pop("image", None)
+        adapter_conditioning_scale = data.pop("adapter_conditioning_scale", 1)
+        adapter_conditioning_factor = data.pop("adapter_conditioning_factor", 1)
+
 
         # Decode image and convert to black and white sketch
         decoded_image = self.decode_base64_image(encoded_image).convert('RGB')
@@ -102,6 +105,8 @@ class EndpointHandler():
             num_inference_steps=num_inference_steps,
             denoising_end=high_noise_frac,
             guidance_scale=7.5,
+            adapter_conditioning_scale=adapter_conditioning_scale,
+            adapter_conditioning_factor=adapter_conditioning_factor,
             output_type="latent",
         ).images
 
@@ -112,6 +117,8 @@ class EndpointHandler():
             num_inference_steps=num_inference_steps,
             denoising_start=high_noise_frac,
             guidance_scale=7.5,
+            adapter_conditioning_scale=adapter_conditioning_scale,
+            adapter_conditioning_factor=adapter_conditioning_factor,
         ).images[0]
 
         # output_image.save("./output2.png")