add

app.py

@@ -277,7 +277,7 @@ def infer_tab2(prompt1, prompt2, seed, randomize_seed, guidance_scale, num_infer
     default_interpolation = 3
     return infer(prompt1, prompt2, seed, randomize_seed, guidance_scale, num_inference_steps, default_interpolation, operation_mode)
 
-examples = [
+examples_1 = [
     ["A robot cooking dinner in the kitchen", "An orange cat wearing sunglasses on a ship"],
 ]
 
@@ -452,12 +452,12 @@ css = """
 #     )
 
 with gr.Blocks(css=css) as demo:
+    gr.Markdown("# CrossFlow")
+    gr.Markdown("[CrossFlow](https://cross-flow.github.io/) directly transforms text representations into images for text-to-image generation, without the need for both the noise distribution and conditioning mechanism.")
+    gr.Markdown("This direct mapping enables meaningful 'Linear Interpolation' and 'Arithmetic Operations' in the text latent space, as demonstrated here.")
     with gr.Tabs():
         # --- Tab 1: Interpolation Mode (no operation_mode) ---
-        gr.Markdown("# CrossFlow")
-        gr.Markdown("[CrossFlow](https://cross-flow.github.io/) directly transforms text representations into images for text-to-image generation, without the need for both the noise distribution and conditioning mechanism.")
-        gr.Markdown("This direct mapping enables meaningful 'Linear Interpolation' and 'Arithmetic Operations' in the text latent space, as demonstrated here.")
-        with gr.Tab("##  Linear Interpolation"):
+        with gr.Tab("[Linear Interpolation]"):
             gr.Markdown("This demo uses 256px images, 25 sampling steps (instead of 50), and 10 interpolations (instead of 50) to conserve GPU memory. For better results, see the original [code](https://github.com/qihao067/CrossFlow). (You may adjust them in Advanced Settings, but doing so may trigger OOM errors.)")
             
             prompt1_tab1 = gr.Text(placeholder="Prompt for first image", label="Prompt 1")
@@ -486,9 +486,11 @@ with gr.Blocks(css=css) as demo:
                 ],
                 outputs=[first_image_output_tab1, last_image_output_tab1, gif_output_tab1, seed_tab1]
             )
+
+            gr.Examples(examples=examples_1, inputs=[prompt1, prompt2])
         
         # --- Tab 2: Operation Mode (no num_of_interpolation) ---
-        with gr.Tab("##  Arithmetic Operations"):
+        with gr.Tab("[Arithmetic Operations]"):
             gr.Markdown("This demo only supports addition or subtraction between two text latents ('Prompt_1 + Prompt_2' or 'Prompt_1 - Prompt_2'). For the other arithmetic operations, see the original [code](https://github.com/qihao067/CrossFlow).")
             
             prompt1_tab2 = gr.Text(placeholder="Prompt for first image", label="Prompt 1")