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import os |
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import platform |
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import uuid |
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import shutil |
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from pydub import AudioSegment |
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import spaces |
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import torch |
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import gradio as gr |
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from huggingface_hub import snapshot_download |
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from examples.get_examples import get_examples |
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from src.facerender.pirender_animate import AnimateFromCoeff_PIRender |
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from src.utils.preprocess import CropAndExtract |
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from src.test_audio2coeff import Audio2Coeff |
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from src.facerender.animate import AnimateFromCoeff |
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from src.generate_batch import get_data |
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from src.generate_facerender_batch import get_facerender_data |
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from src.utils.init_path import init_path |
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checkpoint_path = 'checkpoints' |
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config_path = 'src/config' |
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device = "cuda" if torch.cuda.is_available( |
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) else "mps" if platform.system() == 'Darwin' else "cpu" |
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os.environ['TORCH_HOME'] = checkpoint_path |
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snapshot_download(repo_id='vinthony/SadTalker-V002rc', |
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local_dir=checkpoint_path, local_dir_use_symlinks=True) |
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def mp3_to_wav(mp3_filename, wav_filename, frame_rate): |
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AudioSegment.from_file(file=mp3_filename).set_frame_rate( |
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frame_rate).export(wav_filename, format="wav") |
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@spaces.GPU() |
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def generate_video(source_image, driven_audio, preprocess='crop', still_mode=False, use_enhancer=False, |
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batch_size=1, size=256, pose_style=0, facerender='facevid2vid', exp_scale=1.0, |
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use_ref_video=False, ref_video=None, ref_info=None, use_idle_mode=False, |
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length_of_audio=0, use_blink=True, result_dir='./results/'): |
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sadtalker_paths = init_path( |
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checkpoint_path, config_path, size, False, preprocess) |
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audio_to_coeff = Audio2Coeff(sadtalker_paths, device) |
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preprocess_model = CropAndExtract(sadtalker_paths, device) |
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animate_from_coeff = AnimateFromCoeff(sadtalker_paths, device) if facerender == 'facevid2vid' and device != 'mps' \ |
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else AnimateFromCoeff_PIRender(sadtalker_paths, device) |
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time_tag = str(uuid.uuid4()) |
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save_dir = os.path.join(result_dir, time_tag) |
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os.makedirs(save_dir, exist_ok=True) |
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input_dir = os.path.join(save_dir, 'input') |
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os.makedirs(input_dir, exist_ok=True) |
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pic_path = os.path.join(input_dir, os.path.basename(source_image)) |
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shutil.move(source_image, input_dir) |
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if driven_audio and os.path.isfile(driven_audio): |
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audio_path = os.path.join(input_dir, os.path.basename(driven_audio)) |
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if '.mp3' in audio_path: |
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mp3_to_wav(driven_audio, audio_path.replace('.mp3', '.wav'), 16000) |
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audio_path = audio_path.replace('.mp3', '.wav') |
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else: |
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shutil.move(driven_audio, input_dir) |
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elif use_idle_mode: |
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audio_path = os.path.join( |
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input_dir, 'idlemode_'+str(length_of_audio)+'.wav') |
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AudioSegment.silent( |
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duration=1000*length_of_audio).export(audio_path, format="wav") |
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else: |
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assert use_ref_video and ref_info == 'all' |
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if use_ref_video and ref_info == 'all': |
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ref_video_videoname = os.path.splitext(os.path.split(ref_video)[-1])[0] |
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audio_path = os.path.join(save_dir, ref_video_videoname+'.wav') |
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os.system( |
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f"ffmpeg -y -hide_banner -loglevel error -i {ref_video} {audio_path}") |
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ref_video_frame_dir = os.path.join(save_dir, ref_video_videoname) |
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os.makedirs(ref_video_frame_dir, exist_ok=True) |
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ref_video_coeff_path, _, _ = preprocess_model.generate( |
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ref_video, ref_video_frame_dir, preprocess, source_image_flag=False) |
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else: |
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ref_video_coeff_path = None |
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first_frame_dir = os.path.join(save_dir, 'first_frame_dir') |
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os.makedirs(first_frame_dir, exist_ok=True) |
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first_coeff_path, crop_pic_path, crop_info = preprocess_model.generate( |
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pic_path, first_frame_dir, preprocess, True, size) |
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if first_coeff_path is None: |
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raise AttributeError("No face is detected") |
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ref_pose_coeff_path, ref_eyeblink_coeff_path = None, None |
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if use_ref_video: |
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if ref_info == 'pose': |
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ref_pose_coeff_path = ref_video_coeff_path |
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elif ref_info == 'blink': |
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ref_eyeblink_coeff_path = ref_video_coeff_path |
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elif ref_info == 'pose+blink': |
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ref_pose_coeff_path = ref_eyeblink_coeff_path = ref_video_coeff_path |
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else: |
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ref_pose_coeff_path = ref_eyeblink_coeff_path = None |
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if use_ref_video and ref_info == 'all': |
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coeff_path = ref_video_coeff_path |
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else: |
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batch = get_data(first_coeff_path, audio_path, device, ref_eyeblink_coeff_path=ref_eyeblink_coeff_path, |
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still=still_mode, idlemode=use_idle_mode, length_of_audio=length_of_audio, use_blink=use_blink) |
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coeff_path = audio_to_coeff.generate( |
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batch, save_dir, pose_style, ref_pose_coeff_path) |
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data = get_facerender_data(coeff_path, crop_pic_path, first_coeff_path, audio_path, batch_size, still_mode=still_mode, |
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preprocess=preprocess, size=size, expression_scale=exp_scale, facemodel=facerender) |
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return_path = animate_from_coeff.generate(data, save_dir, pic_path, crop_info, enhancer='gfpgan' if use_enhancer else None, |
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preprocess=preprocess, img_size=size) |
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video_name = data['video_name'] |
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print(f'The generated video is named {video_name} in {save_dir}') |
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return return_path |
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with gr.Blocks(analytics_enabled=False) as demo: |
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with gr.Row(): |
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with gr.Column(variant='panel'): |
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with gr.Tabs(elem_id="sadtalker_source_image"): |
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with gr.TabItem('Source image'): |
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with gr.Row(): |
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source_image = gr.Image( |
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label="Source image", sources="upload", type="filepath", elem_id="img2img_image") |
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with gr.Tabs(elem_id="sadtalker_driven_audio"): |
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with gr.TabItem('Driving Methods'): |
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gr.Markdown( |
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"Possible driving combinations: <br> 1. Audio only 2. Audio/IDLE Mode + Ref Video(pose, blink, pose+blink) 3. IDLE Mode only 4. Ref Video only (all) ") |
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with gr.Row(): |
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driven_audio = gr.Audio( |
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label="Input audio", sources="upload", type="filepath") |
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driven_audio_no = gr.Audio( |
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label="Use IDLE mode, no audio is required", sources="upload", type="filepath", visible=False) |
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with gr.Column(): |
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use_idle_mode = gr.Checkbox( |
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label="Use Idle Animation") |
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length_of_audio = gr.Number( |
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value=5, label="The length(seconds) of the generated video.") |
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use_idle_mode.change(lambda choice: (gr.update(visible=not choice), gr.update(visible=choice)), |
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inputs=use_idle_mode, outputs=[driven_audio, driven_audio_no]) |
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with gr.Row(): |
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ref_video = gr.Video( |
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label="Reference Video", sources="upload", elem_id="vidref") |
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with gr.Column(): |
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use_ref_video = gr.Checkbox( |
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label="Use Reference Video") |
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ref_info = gr.Radio(['pose', 'blink', 'pose+blink', 'all'], value='pose', label='Reference Video', |
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info="How to borrow from reference Video?((fully transfer, aka, video driving mode))") |
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ref_video.change(lambda path: gr.update( |
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value=path is not None), inputs=ref_video, outputs=use_ref_video) |
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with gr.Column(variant='panel'): |
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with gr.Tabs(elem_id="sadtalker_checkbox"): |
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with gr.TabItem('Settings'): |
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with gr.Column(variant='panel'): |
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with gr.Row(): |
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pose_style = gr.Slider( |
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minimum=0, maximum=45, step=1, label="Pose style", value=0) |
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exp_weight = gr.Slider( |
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minimum=0, maximum=3, step=0.1, label="expression scale", value=1) |
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blink_every = gr.Checkbox( |
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label="use eye blink", value=True) |
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with gr.Row(): |
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size_of_image = gr.Radio( |
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[256, 512], value=256, label='face model resolution', info="use 256/512 model?") |
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preprocess_type = gr.Radio( |
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['crop', 'resize', 'full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?") |
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with gr.Row(): |
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is_still_mode = gr.Checkbox( |
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label="Still Mode (fewer head motion, works with preprocess `full`)") |
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facerender = gr.Radio( |
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['facevid2vid', 'pirender'], value='facevid2vid', label='facerender', info="which face render?") |
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with gr.Row(): |
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batch_size = gr.Slider( |
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label="batch size in generation", step=1, maximum=10, value=1) |
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enhancer = gr.Checkbox( |
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label="GFPGAN as Face enhancer") |
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submit = gr.Button( |
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'Generate', elem_id="sadtalker_generate", variant='primary') |
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with gr.Tabs(elem_id="sadtalker_generated"): |
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gen_video = gr.Video(label="Generated video") |
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submit.click( |
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fn=generate_video, |
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inputs=[source_image, driven_audio, preprocess_type, is_still_mode, enhancer, batch_size, size_of_image, |
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pose_style, facerender, exp_weight, use_ref_video, ref_video, ref_info, use_idle_mode, length_of_audio, blink_every], |
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outputs=[gen_video], |
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) |
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with gr.Row(): |
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gr.Examples(examples=get_examples(), inputs=[source_image, driven_audio, preprocess_type, is_still_mode, enhancer], |
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outputs=[gen_video], fn=generate_video) |
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demo.launch(debug=True) |
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