limite to 1 sample

stablediffusion/scripts/gradio/depth2img.py

@@ -131,6 +131,7 @@ def pad_image(input_image):
 
 
 def predict(input_image, prompt, steps, num_samples, scale, seed, eta, strength):
+    num_samples = 1
     init_image = input_image.convert("RGB")
     image = pad_image(init_image)  # resize to integer multiple of 32
     image = image.resize((512, 512))
@@ -166,7 +167,7 @@ with block:
             run_button = gr.Button(label="Run")
             with gr.Accordion("Advanced options", open=False):
                 num_samples = gr.Slider(
-                    label="Images", minimum=1, maximum=4, value=1, step=1)
+                    label="Images", minimum=1, maximum=1, value=1, step=1)
                 ddim_steps = gr.Slider(label="Steps", minimum=1,
                                        maximum=50, value=50, step=1)
                 scale = gr.Slider(