Do not cache the examples

app.py

@@ -948,7 +948,22 @@ def handle_prompt_number_change():
 
 def handle_timed_prompt_change(timed_prompt_id, timed_prompt):
     timed_prompts[timed_prompt_id] = timed_prompt
-    return ";".join(list(timed_prompts.values()))
+    dict_values = {k: v for k, v in timed_prompts.items()}
+    sorted_dict_values = sorted(dict_values.items(), key=lambda x: x[0])
+    array = []
+    for sorted_dict_value in sorted_dict_values:
+        array.append(sorted_dict_value[1])
+    print(str(array))
+    return ";".join(array)
+
+title_html = """
+    <h1><center>FramePack</center></h1>
+    <big><center>Generate videos from text/image/video freely, without account, without watermark and download it</center></big>
+    <br/>
+    <br/>
+    
+    <p>This space is ready to work on ZeroGPU and GPU and has been tested successfully on ZeroGPU. Please leave a <a href="discussions/new">message in discussion</a> if you encounter issues.</p>
+    """
 
 css = make_progress_bar_css()
 block = gr.Blocks(css=css).queue()
@@ -956,18 +971,12 @@ with block:
     if torch.cuda.device_count() == 0:
         with gr.Row():
             gr.HTML("""
-    <p style="background-color: red;"><big><big><big><b>⚠️To use FramePack, <a href="https://huggingface.co/spaces/Fabrice-TIERCELIN/SUPIR?duplicate=true">duplicate this space</a> and set a GPU with 30 GB VRAM.</b>
+    <p style="background-color: red;"><big><big><big><b>⚠️To use FramePack, <a href="https://huggingface.co/spaces/Fabrice-TIERCELIN/FramePack?duplicate=true">duplicate this space</a> and set a GPU with 30 GB VRAM.</b>
 
-    You can't use FramePack directly here because this space runs on a CPU, which is not enough for FramePack. Please provide <a href="https://huggingface.co/spaces/Fabrice-TIERCELIN/SUPIR/discussions/new">feedback</a> if you have issues.
+    You can't use FramePack directly here because this space runs on a CPU, which is not enough for FramePack. Please provide <a href="https://huggingface.co/spaces/Fabrice-TIERCELIN/FramePack/discussions/new">feedback</a> if you have issues.
     </big></big></big></p>
     """)
-    # 20250506 pftq: Updated title to reflect video input functionality
-    gr.Markdown('# Framepack F1 with Image Input or with Video Input (Video Extension)')
-    gr.Markdown(f"""### Video diffusion, but feels like image diffusion
-*FramePack F1 - a FramePack model that only predicts future frames from history frames*
-### *beta* FramePack Fill 🖋️- draw a mask over the input image to inpaint the video output
-adapted from the official code repo [FramePack](https://github.com/lllyasviel/FramePack) by [lllyasviel](lllyasviel/FramePack_F1_I2V_HY_20250503) and [FramePack Studio](https://github.com/colinurbs/FramePack-Studio) 🙌🏻
-    """)
+    gr.HTML(title_html)
     with gr.Row():
         with gr.Column():
             generation_mode = gr.Radio([["Text-to-Video", "text"], ["Image-to-Video", "image"], ["Video-to-Video", "video"]], label="Generation mode", value = "image")
@@ -1131,7 +1140,7 @@ adapted from the official code repo [FramePack](https://github.com/lllyasviel/Fr
         fn = process,
 	    inputs = ips,
         outputs = [result_video, preview_image, progress_desc, progress_bar, start_button, end_button],
-        cache_examples = True,
+        cache_examples = torch.cuda.device_count() > 0,
     )
 
     with gr.Row(elem_id="video_examples", visible=False):
@@ -1163,7 +1172,7 @@ adapted from the official code repo [FramePack](https://github.com/lllyasviel/Fr
         fn = process_video,
 	    inputs = ips_video,
 	    outputs = [result_video, preview_image, progress_desc, progress_bar, start_button_video, end_button],
-        cache_examples = True,
+        cache_examples = torch.cuda.device_count() > 0,
     )