Update app.py

app.py

@@ -221,11 +221,11 @@ def create_video_from_images(image_list, fps=4):
     video.release()
     return video_path
 
-def loop_outpainting(image, width, height, overlap_width, num_inference_steps, resize_option, custom_resize_size, prompt_input, alignment, num_iterations, fps):
+def loop_outpainting(image, width, height, overlap_width, num_inference_steps, resize_option, custom_resize_size, prompt_input, alignment, num_iterations, fps, progress=gr.Progress()):
     image_list = [image]
     current_image = image
 
-    for _ in range(num_iterations):
+    for _ in progress.tqdm(range(num_iterations), desc="Generating frames"):
         # Generate new image
         for step_result in infer(current_image, width, height, overlap_width, num_inference_steps, resize_option, custom_resize_size, prompt_input, alignment):
             pass  # Process all steps
@@ -241,22 +241,15 @@ def loop_outpainting(image, width, height, overlap_width, num_inference_steps, r
     video_path = create_video_from_images(reverse_image_list, fps)
     return video_path
 
+loop_outpainting.zerogpu = True
+
 css = """
 .gradio-container {
     width: 1200px !important;
 }
 """
 
-title = """<h1 align="center">Diffusers Image Outpaint</h1>
-<div align="center">Drop an image you would like to extend, pick your expected ratio and hit Generate.</div>
-<div style="display: flex; justify-content: center; align-items: center; text-align: center;">
-    <p style="display: flex;gap: 6px;">
-         <a href="https://huggingface.co/spaces/fffiloni/diffusers-image-outpout?duplicate=true">
-            <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-md.svg" alt="Duplicate this Space">
-        </a> to skip the queue and enjoy faster inference on the GPU of your choice 
-    </p>
-</div>
-"""
+title = """<h1 align="center">Outpaint Video Zoom-In</h1>"""
 
 with gr.Blocks(css=css) as demo:
     with gr.Column():