Update app.py

app.py

@@ -29,7 +29,7 @@ pipe.to(device)
 
 # Define the image generation function
 @spaces.GPU(duration=60)
-def generate_image(prompt):
+def generate_image(prompt, negative_prompt, num_inference_steps, height, width, guidance_scale, num_images_per_prompt):
     image = pipe(
         prompt=prompt,
         negative_prompt=negative_prompt,
@@ -37,6 +37,7 @@ def generate_image(prompt):
         height=height,
         width=width,
         guidance_scale=guidance_scale,
+        num_images_per_prompt=num_images_per_prompt
     ).images[0]
     return image
 
@@ -48,15 +49,17 @@ negative_prompt = gr.Textbox(label="Negative Prompt", info="Describe what you do
 
 num_inference_steps = gr.Number(label="Number of Inference Steps", precision=0, value=25)
 
-height = gr.Number(label="Number of Inference Steps", precision=0, value=1024)
+height = gr.Slider(label="Height", info="Height of the Image", minimum=256, maximum="1536", step=32, value=1024)
 
-width = gr.Number(label="Number of Inference Steps", precision=0, value=1024)
+width = gr.Slider(label="Width", info="Width of the Image", minimum=256, maximum="1536", step=32, value=1024)
 
 guidance_scale = gr.Number(minimum=0.1, value=7.5, label="Guidance Scale", info="The number of denoising steps of the image. More denoising steps usually lead to a higher quality image at the cost of slower inference")
 
+num_images_per_prompt = gr.Slider(label="Number of Images to generate with the settings",minimum=1, maximum=4, step=1, value=1)
+
 interface = gr.Interface(
     fn=generate_image,
-    inputs=[prompt, negative_prompt, num_inference_steps, height, width, guidance_scale],
+    inputs=[prompt, negative_prompt, num_inference_steps, height, width, guidance_scale, num_images_per_prompt],
     outputs="image",
     title="Stable Diffusion 3 Medium",
     description="Made by [Nick088](https://linktr.ee/Nick088"