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