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app.py

@@ -19,15 +19,15 @@ pipe.to(device)
 print(f"Model loaded on {device}")
 
 @spaces.GPU
-def process_image(image, instruction, num_steps=50, guidance_scale=5.0):
+def process_image(image, num_steps=50, guidance_scale=5.0):
     """
     Process an image with RMBG-3.0
     """
     if image is None:
         return None, "Please upload an image"
 
-    if not instruction or instruction.strip() == "":
-        return None, "Please provide an editing instruction"
+    # Fixed instruction for background removal
+    instruction = "{'edit_instruction':'Generate a detailed grayscale alpha matte. Map the opaque foreground to white and the background to black. Produce soft, anti-aliased grayscale gradients at the edges of the subject to represent fine details and transparency.'}"
 
     try:
         # Run the pipeline to get the grayscale alpha matte
@@ -67,9 +67,8 @@ with gr.Blocks(title="RMBG-3.0 - Background Removal & Image Editing") as demo:
 
     ### How to use:
     1. Upload your image
-    2. Review or modify the editing instruction
-    3. Adjust settings if needed
-    4. Click Process!
+    2. Adjust settings if needed (optional)
+    3. Click Process!
     """)
 
     with gr.Row():
@@ -80,12 +79,6 @@ with gr.Blocks(title="RMBG-3.0 - Background Removal & Image Editing") as demo:
                 height=400
             )
 
-            instruction = gr.Textbox(
-                label="Editing Instruction",
-                value="\"{'edit_instruction':'Generate a detailed grayscale alpha matte. Map the opaque foreground to white and the background to black. Produce soft, anti-aliased grayscale gradients at the edges of the subject to represent fine details and transparency.'}\"",
-                lines=5
-            )
-
             with gr.Accordion("Advanced Settings", open=False):
                 num_steps = gr.Slider(
                     minimum=1,
@@ -122,7 +115,7 @@ with gr.Blocks(title="RMBG-3.0 - Background Removal & Image Editing") as demo:
     # Connect the button
     process_btn.click(
         fn=process_image,
-        inputs=[input_image, instruction, num_steps, guidance_scale],
+        inputs=[input_image, num_steps, guidance_scale],
         outputs=[output_image, status_text]
     )