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Create app.py
import gradio as gr from share_btn import community_icon_html, loading_icon_html, share_js import torch from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler from diffusers.utils import export_to_video pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_576w", torch_dtype=torch.float16) pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) pipe.enable_model_cpu_offload() def infer(prompt): negative_prompt = "text, watermark, copyright, blurry, nsfw" video_frames = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=40, height=320, width=576, num_frames=24).frames video_path = export_to_video(video_frames) print(video_path) return video_path, gr.Group.update(visible=True) css = """ #col-container {max-width: 510px; margin-left: auto; margin-right: auto;} a {text-decoration-line: underline; font-weight: 600;} .animate-spin { animation: spin 1s linear infinite; } @keyframes spin { from { t…2cf3be8 -
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