app.py

import gradio as gr
import torch
from diffusers import StableVideoDiffusionPipeline
from diffusers.utils import export_to_video

# CPU için yapılandırıldı
pipe = StableVideoDiffusionPipeline.from_pretrained(
    "stabilityai/stable-video-diffusion-img2vid-xt", 
    torch_dtype=torch.float32  # CPU'da float32 zorunludur
)
pipe.to("cpu") 

def generate_video(image):
    image = image.resize((512, 320)) # CPU'da çok büyük görsel hata verir
    frames = pipe(image, decode_chunk_size=2, motion_bucket_id=127).frames[0]
    export_to_video(frames, "output.mp4", fps=7)
    return "output.mp4"

demo = gr.Interface(fn=generate_video, inputs=gr.Image(type="pil"), outputs=gr.Video())
demo.launch()