change params order

app.py

@@ -131,6 +131,7 @@ def download_lora(style_name):
 @spaces.GPU
 def generate_styled_image(
     input_image, 
+    input_base64, 
     style_name, 
     custom_prompt="", 
     num_inference_steps=24, 
@@ -138,7 +139,6 @@ def generate_styled_image(
     width=1024,
     height=1024,
     seed=-1,
-    input_base64: str | None = None, 
 ):
     """Generate styled image using FLUX Kontext with LoRA"""
     global pipeline, current_lora
@@ -392,12 +392,12 @@ with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
     gr.Markdown("### Examples")
     gr.Examples(
          examples=[
-             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "None", "", 24, 7.5, 1024, 1024, -1],
-             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "Ghibli", "", 24, 7.5, 1024, 1024, -1],
-             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "Pixel", "", 24, 7.5, 1024, 1024, -1],
-             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "Van_Gogh", "", 24, 7.5, 1024, 1024, -1],
+             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "", "None", "", 24, 7.5, 1024, 1024, -1],
+             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "", "Ghibli", "", 24, 7.5, 1024, 1024, -1],
+             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "", "Pixel", "", 24, 7.5, 1024, 1024, -1],
+             ["https://huggingface.co/datasets/black-forest-labs/kontext-bench/resolve/main/test/images/0003.jpg", "", "Van_Gogh", "", 24, 7.5, 1024, 1024, -1],
          ],
-         inputs=[input_image, style_dropdown, custom_prompt, num_inference_steps, guidance_scale, width, height, seed, input_base64],
+         inputs=[input_image, input_base64, style_dropdown, custom_prompt, num_inference_steps, guidance_scale, width, height, seed],
          outputs=[output_image],
          fn=generate_styled_image,
          cache_examples=False,