Move examples

app.py

@@ -12,7 +12,8 @@ max_64_bit_int = 2**63 - 1
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 floatType = torch.float16 if torch.cuda.is_available() else torch.float32
-pipe = StableDiffusionXLInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype = floatType)
+variant = "fp16" if torch.cuda.is_available() else None
+pipe = StableDiffusionXLInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype = floatType, variant = variant)
 pipe = pipe.to(device)
 
 def noise_color(color, noise):
@@ -412,7 +413,7 @@ with gr.Blocks() as interface:
         ],
         examples = [
                 [
-                    "Example1.webp",
+                    "./Examples/Example1.webp",
                     1024,
                     1024,
                     1024,
@@ -430,7 +431,7 @@ with gr.Blocks() as interface:
                     False
                 ],
                 [
-                    "Example2.png",
+                    "./Examples/Example2.png",
                     1024,
                     1024,
                     1024,
@@ -448,7 +449,7 @@ with gr.Blocks() as interface:
                     False
                 ],
                 [
-                    "Example3.jpg",
+                    "./Examples/Example3.jpg",
                     0,
                     512,
                     0,