Update app.py

app.py

@@ -4,15 +4,14 @@ import gradio as gr
 model = gr.load("models/stabilityai/stable-diffusion-3.5-large")
 
 # Define a function to handle the model inference
-def generate_image(prompt, num_inference_steps):
-    return model(prompt=prompt, num_inference_steps=num_inference_steps)
+def generate_image(prompt):
+    return model(prompt=prompt)
 
 # Define the Gradio interface
 interface = gr.Interface(
     fn=generate_image,  # The prediction function
     inputs=[
         gr.Textbox(label="Prompt"),  # Input for the text prompt
-        gr.Slider(minimum=1, maximum=100, label="Number of Inference Steps")  # Slider for steps
     ],
     outputs=gr.Image(label="Generated Image")  # Output component for the generated image
 )