pngs w alpha channel now work (convert to RGB)

predict.py

@@ -79,10 +79,10 @@ def download_weights(url: str, dest: str) -> None:
 class Predictor(BasePredictor):
     def setup(self) -> None:
         """Load the model into memory to make running multiple predictions efficient"""
-        
+
         if not os.path.exists(MODEL_CACHE):
             os.makedirs(MODEL_CACHE)
-            
+
         model_files = [
             "models--InstantX--SD3-Controlnet-Canny.tar",
             "models--stabilityai--stable-diffusion-3-medium-diffusers.tar",
@@ -154,9 +154,13 @@ def predict(
 
         print(f"Using seed: {seed}")
 
+        # Preprocess the input image
+        input_image = Image.open(str(image_in))
+        if input_image.mode != "RGB":
+            input_image = input_image.convert("RGB")
+
         # Canny preprocessing
-        image_to_canny = load_image(str(image_in))
-        image_to_canny = np.array(image_to_canny)
+        image_to_canny = np.array(input_image)
         image_to_canny = cv2.Canny(image_to_canny, 100, 200)
         image_to_canny = image_to_canny[:, :, None]
         image_to_canny = np.concatenate(
@@ -182,6 +186,7 @@ def predict(
         image = image.resize((w, h), Image.LANCZOS)
 
         # Save the image with the specified format and quality
+        image = image.convert("RGB")
         extension = output_format.lower()
         extension = "jpeg" if extension == "jpg" else extension
         output_path = f"output.{extension}"