Update app.py

app.py

@@ -64,9 +64,9 @@ def load_model():
 model = load_model()
 
 # Text-to-video generation function
-@spaces.GPU(duration=120)
+@spaces.GPU(duration=160)
 def generate_video(prompt, image=None, duration=5, guidance_scale=9, video_guidance_scale=5, progress=gr.Progress(track_tqdm=True)):
-    multiplier = 2.4
+    multiplier = 3
     temp = int(duration * multiplier) + 1 
     torch_dtype = torch.bfloat16 if MODEL_DTYPE == "bf16" else torch.float32
     if(image):
@@ -97,23 +97,26 @@ def generate_video(prompt, image=None, duration=5, guidance_scale=9, video_guida
                 output_type="pil",
                 save_memory=True,
             )
+    return frames, gr.update()
+
+def compose_video(frames):
     output_path = f"{str(uuid.uuid4())}_output_video.mp4"
     export_to_video(frames, output_path, fps=24)
-    return output_path
+    return output_path 
 
 # Gradio interface
 with gr.Blocks() as demo:
     gr.Markdown("# Pyramid Flow")
     gr.Markdown("Pyramid Flow is a training-efficient Autoregressive Video Generation model based on Flow Matching. It is trained only on open-source datasets within 20.7k A100 GPU hours")
     gr.Markdown("[[Paper](https://arxiv.org/pdf/2410.05954)], [[Model](https://huggingface.co/rain1011/pyramid-flow-sd3)], [[Code](https://github.com/jy0205/Pyramid-Flow)]")
-    
+    frames = gr.State()
     with gr.Row():
         with gr.Column():
             with gr.Accordion("Image to Video (optional)", open=False):
                 i2v_image = gr.Image(type="pil", label="Input Image")
             t2v_prompt = gr.Textbox(label="Prompt")
             with gr.Accordion("Advanced settings", open=False):
-                t2v_duration = gr.Slider(minimum=1, maximum=10, value=2 if is_canonical else 5, step=1, label="Duration (seconds)", visible=not is_canonical)
+                t2v_duration = gr.Slider(minimum=1, maximum=2 if is_canonical else 10, value=2 if is_canonical else 5, step=1, label="Duration (seconds)")
                 t2v_guidance_scale = gr.Slider(minimum=1, maximum=15, value=9, step=0.1, label="Guidance Scale")
                 t2v_video_guidance_scale = gr.Slider(minimum=1, maximum=15, value=5, step=0.1, label="Video Guidance Scale")
             t2v_generate_btn = gr.Button("Generate Video")
@@ -142,7 +145,11 @@ with gr.Blocks() as demo:
     t2v_generate_btn.click(
         generate_video,
         inputs=[t2v_prompt, i2v_image, t2v_duration, t2v_guidance_scale, t2v_video_guidance_scale],
-        outputs=t2v_output
+        outputs=[frames, t2v_output]
+    ).then(
+        compose_video,
+        input=[frames],
+        outouts=t2v_output
     )
 
 demo.launch()