support for ImageSlider

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+from gradio_imageslider import ImageSlider
 from pipeline_demofusion_sdxl import DemoFusionSDXLPipeline
 import torch
 
@@ -24,7 +25,8 @@ def generate_images(prompt, negative_prompt, height, width, num_inference_steps,
                   multi_decoder=True, show_image=False
                  )
 
-    return [image for _, image in enumerate(images)]
+    #return [image for _, image in enumerate(images)]
+    return (images[0], images[-1])
 
 iface = gr.Interface(
     fn=generate_images,
@@ -43,7 +45,8 @@ iface = gr.Interface(
         gr.Slider(minimum=8, maximum=96, step=8, value=64, label="Stride"),
         gr.Number(label="Seed", value=2013)
     ],
-    outputs=gr.Gallery(label="Generated Images"),
+    #outputs=gr.Gallery(label="Generated Images"),
+    outputs=ImageSlider(label="Comparison of SDXL and DemoFusion"),
     title="DemoFusion Gradio Demo",
     description="Generate images with the DemoFusion SDXL Pipeline. Runs on A100 GPU."
 )