diff --git a/src/mflux/generate_controlnet.py b/src/mflux/generate_controlnet.py
index 257b806..0e077f3 100644
--- a/src/mflux/generate_controlnet.py
+++ b/src/mflux/generate_controlnet.py
@@ -8,7 +8,8 @@ def main():
     # fmt: off
     parser = argparse.ArgumentParser(description="Generate an image based on a prompt.")
     parser.add_argument("--prompt", type=str, required=True, help="The textual description of the image to generate.")
-    parser.add_argument("--control-image-path", type=str, required=True, help="Local path of the image to use as input for controlnet.")
+    parser.add_argument("--controlnet-image-path", type=str, required=True, help="Local path of the image to use as input for controlnet.")
+    parser.add_argument("--controlnet-strength", type=float, default=0.4, help="Controls how strongly the control image influences the output image. A value of 0.0 means no influence. (Default is 0.4)")
     parser.add_argument("--output", type=str, default="image.png", help="The filename for the output image. Default is \"image.png\".")
     parser.add_argument("--model", "-m", type=str, required=True, choices=["dev", "schnell"], help="The model to use (\"schnell\" or \"dev\").")
     parser.add_argument("--seed", type=int, default=None, help="Entropy Seed (Default is time-based random-seed)")
@@ -16,7 +17,6 @@ def main():
     parser.add_argument("--width", type=int, default=1024, help="Image width (Default is 1024)")
     parser.add_argument("--steps", type=int, default=None, help="Inference Steps")
     parser.add_argument("--guidance", type=float, default=3.5, help="Guidance Scale (Default is 3.5)")
-    parser.add_argument("--controlnet-strength", type=float, default=0.7, help="Controls how strongly the control image influences the output image. A value of 0.0 means no influence. (Default is 0.7)")
     parser.add_argument("--quantize",  "-q", type=int, choices=[4, 8], default=None, help="Quantize the model (4 or 8, Default is None)")
     parser.add_argument("--path", type=str, default=None, help="Local path for loading a model from disk")
     parser.add_argument("--lora-paths", type=str, nargs="*", default=None, help="Local safetensors for applying LORA from disk")
@@ -45,7 +45,7 @@ def main():
     image = flux.generate_image(
         seed=int(time.time()) if args.seed is None else args.seed,
         prompt=args.prompt,
-        control_image=ImageUtil.load_image(args.control_image_path),
+        control_image=ImageUtil.load_image(args.controlnet_image_path),
         config=ConfigControlnet(
             num_inference_steps=args.steps,
             height=args.height,