Add an example

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -6,10 +6,16 @@ import random
 import spaces
 
 from diffusers import DPMSolverMultistepScheduler, StableDiffusionXLPipeline
+from diffusers.utils import load_image
 
 DESCRIPTION='''
 This uses code lifted almost verbatim from
-[Outpainting II - Differential Diffusion](https://huggingface.co/blog/OzzyGT/outpainting-differential-diffusion).
+[Outpainting II - Differential Diffusion](https://huggingface.co/blog/OzzyGT/outpainting-differential-diffusion).  This only works well on blurry edges.
+'''
+
+ARTICLE='''
+The [example image](https://commons.wikimedia.org/wiki/File:Coucang.jpg) is by Aprisonsan
+and licensed under CC-BY-SA 4.0 International.
 '''
 
 xlp_kwargs = {
@@ -271,12 +277,11 @@ def outpaint(pil_image, direction='right', times_to_expand=4, guidance_scale=4.0
     color_converted = cv2.cvtColor(final_image, cv2.COLOR_BGR2RGB)
     return color_converted
 
-
 gradio_app = gr.Interface(
     outpaint,
     inputs=[
         gr.Image(label="Select start image", sources=[
-                 'upload', 'webcam'], type='pil'),
+                 'upload', 'clipboard'], type='pil'),
         gr.Radio(["left", "right", "top", 'bottom'], label="Direction",
                  info="Outward from which edge to paint?", value='right'),
         gr.Slider(2, 4, step=1, value=4, label="Times to expand",
@@ -287,8 +292,12 @@ gradio_app = gr.Interface(
                   info="Choose between 250 and 500"),
     ],
     outputs=[gr.Image(label="Processed Image")],
+    examples=[
+        [load_image('examples/Coucang.jpg'), 'right', 4, 5, 500]
+    ],
     title="Outpainting with differential diffusion demo",
-    description=DESCRIPTION
+    description=DESCRIPTION,
+    article=ARTICLE
 )
 
 if __name__ == "__main__":