requirments.txt

gradio
torch
torchvision
diffusers
transformers
accelerate

App.py

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+import gradio as gr
+import torch
+from diffusers import StableVideoDiffusionPipeline
+
+# Load Model
+pipe = StableVideoDiffusionPipeline.from_pretrained("stabilityai/stable-video-diffusion-img2vid")
+pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+def generate_video(prompt):
+    video_frames = pipe(prompt, num_inference_steps=50).frames
+    video_path = "output.mp4"
+    video_frames[0].save(video_path)
+    return video_path
+
+iface = gr.Interface(
+    fn=generate_video,
+    inputs=gr.Textbox(label="Enter Prompt"),
+    outputs=gr.Video(label="Generated Video"),
+    title="AI Video Generator"
+)
+
+iface.launch()