Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+import torch
+from diffusers import StableVideoDiffusionPipeline
+from PIL import Image
+import requests
+from io import BytesIO
+import tempfile
+
+# Load pipeline
+pipe = StableVideoDiffusionPipeline.from_pretrained(
+    "stabilityai/stable-video-diffusion-img2vid-xt-1-1",
+    torch_dtype=torch.float16,
+    variant="fp16"
+).to("cuda")
+
+pipe.enable_model_cpu_offload()
+
+def generate_video(image_url):
+    image = Image.open(BytesIO(requests.get(image_url).content)).resize((1024, 576))
+    result = pipe(image, decode_chunk_size=8, generator=torch.manual_seed(42)).frames[0]
+    temp = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False)
+    result.save(temp.name, fps=7)
+    return temp.name
+
+demo = gr.Interface(
+    fn=generate_video,
+    inputs=gr.Text(label="Image URL"),
+    outputs=gr.Video()
+)
+
+demo.launch()