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import gradio as gr
from diffusers import DiffusionPipeline
import torch
import tempfile
# Load public model (no login required)
model_id = "cerspense/zeroscope_v2_576w"
pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.to("cuda" if torch.cuda.is_available() else "cpu")
def generate_video(prompt):
output = pipe(prompt, num_inference_steps=25, guidance_scale=9.0)
video_path = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False).name
output["video"].save(video_path, fps=8)
return video_path
gr.Interface(
fn=generate_video,
inputs=gr.Textbox(label="Enter prompt (e.g. A cat dancing in space)"),
outputs=gr.Video(label="Generated Video"),
title="🎬 Free Prompt-to-Video Generator",
description="Enter a prompt and get a video — 100% free, no login, no API keys."
).launch()
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