update demo with examples

app.py

@@ -96,7 +96,6 @@ def invert_image(model, image: np.ndarray, n_steps: int, width: int, height: int
     image_tensor = image_tensor.unsqueeze(0)
     latent = img_to_latents(image_tensor, model.vae)
 
-    print(latent)
     model.set_ip_adapter_scale(0)
 
     inv_latents = model(
@@ -175,11 +174,19 @@ def generate(
     return image
 
 
-examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
+examples_prompts = [
+    "Astronaut in a jungle, detailed, 8k",
+    "A Bird",
+    "A Tiger",
+    "A Cat",
+    "cactus",
+    "A Panda",
 ]
 
+examples_images = [f"./images/{i}.png" for i in range(6)]
+
+examples = [[prompt, image] for prompt, image in zip(examples_prompts, examples_images)]
+
 with gr.Blocks(css=css) as demo:
     gr.Markdown(DESCRIPTION)
 
@@ -299,7 +306,7 @@ with gr.Blocks(css=css) as demo:
 
     gr.Examples(
         examples=examples,
-        inputs=prompt,
+        inputs=[prompt, style_image],
         outputs=result,
         fn=generate,
     )