import gradio as gr # from src.audio2vid import audio2video # from src.vid2vid import video2video from src.create_modules import Processer title = r"""

AniPortrait

""" description = r""" Official 🤗 Gradio demo for AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animations.
""" main_processer = Processer() with gr.Blocks() as demo: gr.Markdown(title) gr.Markdown(description) with gr.Tab("Audio2video"): with gr.Row(): with gr.Column(): with gr.Row(): a2v_input_audio = gr.Audio(sources=["upload", "microphone"], type="filepath", editable=True, label="Input audio", interactive=True) a2v_ref_img = gr.Image(label="Upload reference image", sources="upload") a2v_headpose_video = gr.Video(label="Option: upload head pose reference video", sources="upload") with gr.Row(): a2v_size_slider = gr.Slider(minimum=256, maximum=1024, step=8, value=512, label="Video size (-W & -H)") a2v_step_slider = gr.Slider(minimum=5, maximum=50, step=1, value=20, label="Steps (--steps)") with gr.Row(): a2v_length = gr.Slider(minimum=0, maximum=300, step=1, value=150, label="Length (-L) (Set 0 to automatically calculate video length.)") a2v_seed = gr.Number(value=42, label="Seed (--seed)") a2v_botton = gr.Button("Generate", variant="primary") a2v_output_video = gr.PlayableVideo(label="Result", interactive=False) gr.Examples( examples=[ ["configs/inference/audio/lyl.wav", "configs/inference/ref_images/Aragaki.png", None], ["configs/inference/audio/lyl.wav", "configs/inference/ref_images/solo.png", None], ["configs/inference/audio/lyl.wav", "configs/inference/ref_images/lyl.png", "configs/inference/head_pose_temp/pose_ref_video.mp4"], ], inputs=[a2v_input_audio, a2v_ref_img, a2v_headpose_video], ) with gr.Tab("Video2video"): with gr.Row(): with gr.Column(): with gr.Row(): v2v_ref_img = gr.Image(label="Upload reference image", sources="upload") v2v_source_video = gr.Video(label="Upload source video", sources="upload") with gr.Row(): v2v_size_slider = gr.Slider(minimum=256, maximum=1024, step=8, value=512, label="Video size (-W & -H)") v2v_step_slider = gr.Slider(minimum=5, maximum=50, step=1, value=20, label="Steps (--steps)") with gr.Row(): v2v_length = gr.Slider(minimum=0, maximum=300, step=1, value=150, label="Length (-L) (Set 0 to automatically calculate video length.)") v2v_seed = gr.Number(value=42, label="Seed (--seed)") v2v_botton = gr.Button("Generate", variant="primary") v2v_output_video = gr.PlayableVideo(label="Result", interactive=False) gr.Examples( examples=[ ["configs/inference/ref_images/Aragaki.png", "configs/inference/video/Aragaki_song.mp4"], ["configs/inference/ref_images/solo.png", "configs/inference/video/Aragaki_song.mp4"], ["configs/inference/ref_images/lyl.png", "configs/inference/head_pose_temp/pose_ref_video.mp4"], ], inputs=[v2v_ref_img, v2v_source_video, a2v_headpose_video], ) a2v_botton.click( fn=main_processer.audio2video, inputs=[a2v_input_audio, a2v_ref_img, a2v_headpose_video, a2v_size_slider, a2v_step_slider, a2v_length, a2v_seed], outputs=[a2v_output_video, a2v_ref_img] ) v2v_botton.click( fn=main_processer.video2video, inputs=[v2v_ref_img, v2v_source_video, v2v_size_slider, v2v_step_slider, v2v_length, v2v_seed], outputs=[v2v_output_video, v2v_ref_img] ) demo.launch()