Update app.py

app.py

@@ -8,7 +8,7 @@ import spaces
 pipeline = I2VGenXLPipeline.from_pretrained("ali-vilab/i2vgen-xl", torch_dtype=torch.float16, variant="fp16")
 pipeline.enable_model_cpu_offload()
 
-@spaces.GPU
+@spaces.GPU(duration=240)
 def generate_gif(image, prompt, negative_prompt, num_inference_steps, guidance_scale, seed):
     # Load the image
     image = load_image(image).convert("RGB")
@@ -39,7 +39,7 @@ iface = gr.Interface(
         gr.Image(type="filepath", label="Input Image"),
         gr.Textbox(lines=2, placeholder="Enter your prompt here...", label="Prompt"),
         gr.Textbox(lines=2, placeholder="Enter your negative prompt here...", label="Negative Prompt"),
-        gr.Slider(1, 100, step=1, value=50, label="Number of Inference Steps"),
+        gr.Slider(1, 50, step=1, value=15, label="Number of Inference Steps"),
         gr.Slider(1, 20, step=0.1, value=9.0, label="Guidance Scale"),
         gr.Number(label="Seed", value=8888)
     ],