up

app.py

@@ -5,7 +5,7 @@ from diffusers import AutoPipelineForInpainting, UNet2DConditionModel
 import diffusers
 from share_btn import community_icon_html, loading_icon_html, share_js
 
-unet = UNet2DConditionModel.from_pretrained("valhalla/sdxl-inpaint-ema", torch_dtype=torch.float16)
+unet = UNet2DConditionModel.from_pretrained("valhalla/sdxl-inpaint-ema", torch_dtype=torch.float16, revision="d5593e75323fa2a5285ebe02c1aba504a695bbf7")  # 50k
 pipe = AutoPipelineForInpainting.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
 
 def read_content(file_path: str) -> str:
@@ -111,6 +111,23 @@ with image_blocks as demo:
             btn.click(fn=predict, inputs=[image, prompt, guidance_scale, steps, strength, scheduler], outputs=[image_out, community_icon, loading_icon, share_button])
             share_button.click(None, [], [], _js=share_js)
 
+            gr.Examples(
+                examples=[
+                    ["./imgs/aaa (8).png"],
+                    ["./imgs/download (1).jpeg"],
+                    ["./imgs/0_oE0mLhfhtS_3Nfm2.png"],
+                    ["./imgs/02_HubertyBlog-1-1024x1024.jpg"],
+                    ["./imgs/jdn_jacques_de_nuce-1024x1024.jpg"],
+                    ["./imgs/c4ca473acde04280d44128ad8ee09e8a.jpg"],
+                    ["./imgs/canam-electric-motorcycles-scaled.jpg"],
+                    ["./imgs/e8717ce80b394d1b9a610d04a1decd3a.jpeg"],
+                    ["./imgs/Nature___Mountains_Big_Mountain_018453_31.jpg"],
+                    ["./imgs/Multible-sharing-room_ccexpress-2-1024x1024.jpeg"],
+                ],
+                fn=predict,
+                inputs=[image],
+                cache_examples=False,
+            )
             gr.HTML(
                 """
                     <div class="footer">