Spaces:
Running
on
A10G
Running
on
A10G
| import torch, uuid | |
| import os, sys, shutil, platform | |
| from src.facerender.pirender_animate import AnimateFromCoeff_PIRender | |
| from src.utils.preprocess import CropAndExtract | |
| from src.test_audio2coeff import Audio2Coeff | |
| from src.facerender.animate import AnimateFromCoeff | |
| from src.generate_batch import get_data | |
| from src.generate_facerender_batch import get_facerender_data | |
| from src.utils.init_path import init_path | |
| from pydub import AudioSegment | |
| def mp3_to_wav(mp3_filename,wav_filename,frame_rate): | |
| mp3_file = AudioSegment.from_file(file=mp3_filename) | |
| mp3_file.set_frame_rate(frame_rate).export(wav_filename,format="wav") | |
| class SadTalker(): | |
| def __init__(self, checkpoint_path='checkpoints', config_path='src/config', lazy_load=False): | |
| if torch.cuda.is_available(): | |
| device = "cuda" | |
| elif platform.system() == 'Darwin': # macos | |
| device = "mps" | |
| else: | |
| device = "cpu" | |
| self.device = device | |
| os.environ['TORCH_HOME']= checkpoint_path | |
| self.checkpoint_path = checkpoint_path | |
| self.config_path = config_path | |
| def test(self, source_image, driven_audio, preprocess='crop', | |
| still_mode=False, use_enhancer=False, batch_size=1, size=256, | |
| pose_style = 0, | |
| facerender='facevid2vid', | |
| exp_scale=1.0, | |
| use_ref_video = False, | |
| ref_video = None, | |
| ref_info = None, | |
| use_idle_mode = False, | |
| length_of_audio = 0, use_blink=True, | |
| result_dir='./results/'): | |
| self.sadtalker_paths = init_path(self.checkpoint_path, self.config_path, size, False, preprocess) | |
| print(self.sadtalker_paths) | |
| self.audio_to_coeff = Audio2Coeff(self.sadtalker_paths, self.device) | |
| self.preprocess_model = CropAndExtract(self.sadtalker_paths, self.device) | |
| if facerender == 'facevid2vid' and self.device != 'mps': | |
| self.animate_from_coeff = AnimateFromCoeff(self.sadtalker_paths, self.device) | |
| elif facerender == 'pirender' or self.device == 'mps': | |
| self.animate_from_coeff = AnimateFromCoeff_PIRender(self.sadtalker_paths, self.device) | |
| facerender = 'pirender' | |
| else: | |
| raise(RuntimeError('Unknown model: {}'.format(facerender))) | |
| time_tag = str(uuid.uuid4()) | |
| save_dir = os.path.join(result_dir, time_tag) | |
| os.makedirs(save_dir, exist_ok=True) | |
| input_dir = os.path.join(save_dir, 'input') | |
| os.makedirs(input_dir, exist_ok=True) | |
| print(source_image) | |
| pic_path = os.path.join(input_dir, os.path.basename(source_image)) | |
| shutil.move(source_image, input_dir) | |
| if driven_audio is not None and os.path.isfile(driven_audio): | |
| audio_path = os.path.join(input_dir, os.path.basename(driven_audio)) | |
| #### mp3 to wav | |
| if '.mp3' in audio_path: | |
| mp3_to_wav(driven_audio, audio_path.replace('.mp3', '.wav'), 16000) | |
| audio_path = audio_path.replace('.mp3', '.wav') | |
| else: | |
| shutil.move(driven_audio, input_dir) | |
| elif use_idle_mode: | |
| audio_path = os.path.join(input_dir, 'idlemode_'+str(length_of_audio)+'.wav') ## generate audio from this new audio_path | |
| from pydub import AudioSegment | |
| one_sec_segment = AudioSegment.silent(duration=1000*length_of_audio) #duration in milliseconds | |
| one_sec_segment.export(audio_path, format="wav") | |
| else: | |
| print(use_ref_video, ref_info) | |
| assert use_ref_video == True and ref_info == 'all' | |
| if use_ref_video and ref_info == 'all': # full ref mode | |
| ref_video_videoname = os.path.basename(ref_video) | |
| audio_path = os.path.join(save_dir, ref_video_videoname+'.wav') | |
| print('new audiopath:',audio_path) | |
| # if ref_video contains audio, set the audio from ref_video. | |
| cmd = r"ffmpeg -y -hide_banner -loglevel error -i %s %s"%(ref_video, audio_path) | |
| os.system(cmd) | |
| os.makedirs(save_dir, exist_ok=True) | |
| #crop image and extract 3dmm from image | |
| first_frame_dir = os.path.join(save_dir, 'first_frame_dir') | |
| os.makedirs(first_frame_dir, exist_ok=True) | |
| first_coeff_path, crop_pic_path, crop_info = self.preprocess_model.generate(pic_path, first_frame_dir, preprocess, True, size) | |
| if first_coeff_path is None: | |
| raise AttributeError("No face is detected") | |
| if use_ref_video: | |
| print('using ref video for genreation') | |
| ref_video_videoname = os.path.splitext(os.path.split(ref_video)[-1])[0] | |
| ref_video_frame_dir = os.path.join(save_dir, ref_video_videoname) | |
| os.makedirs(ref_video_frame_dir, exist_ok=True) | |
| print('3DMM Extraction for the reference video providing pose') | |
| ref_video_coeff_path, _, _ = self.preprocess_model.generate(ref_video, ref_video_frame_dir, preprocess, source_image_flag=False) | |
| else: | |
| ref_video_coeff_path = None | |
| if use_ref_video: | |
| if ref_info == 'pose': | |
| ref_pose_coeff_path = ref_video_coeff_path | |
| ref_eyeblink_coeff_path = None | |
| elif ref_info == 'blink': | |
| ref_pose_coeff_path = None | |
| ref_eyeblink_coeff_path = ref_video_coeff_path | |
| elif ref_info == 'pose+blink': | |
| ref_pose_coeff_path = ref_video_coeff_path | |
| ref_eyeblink_coeff_path = ref_video_coeff_path | |
| elif ref_info == 'all': | |
| ref_pose_coeff_path = None | |
| ref_eyeblink_coeff_path = None | |
| else: | |
| raise('error in refinfo') | |
| else: | |
| ref_pose_coeff_path = None | |
| ref_eyeblink_coeff_path = None | |
| #audio2ceoff | |
| if use_ref_video and ref_info == 'all': | |
| coeff_path = ref_video_coeff_path # self.audio_to_coeff.generate(batch, save_dir, pose_style, ref_pose_coeff_path) | |
| else: | |
| batch = get_data(first_coeff_path, audio_path, self.device, ref_eyeblink_coeff_path=ref_eyeblink_coeff_path, still=still_mode, \ | |
| idlemode=use_idle_mode, length_of_audio=length_of_audio, use_blink=use_blink) # longer audio? | |
| coeff_path = self.audio_to_coeff.generate(batch, save_dir, pose_style, ref_pose_coeff_path) | |
| #coeff2video | |
| data = get_facerender_data(coeff_path, crop_pic_path, first_coeff_path, audio_path, batch_size, still_mode=still_mode, \ | |
| preprocess=preprocess, size=size, expression_scale = exp_scale, facemodel=facerender) | |
| return_path = self.animate_from_coeff.generate(data, save_dir, pic_path, crop_info, enhancer='gfpgan' if use_enhancer else None, preprocess=preprocess, img_size=size) | |
| video_name = data['video_name'] | |
| print(f'The generated video is named {video_name} in {save_dir}') | |
| del self.preprocess_model | |
| del self.audio_to_coeff | |
| del self.animate_from_coeff | |
| if torch.cuda.is_available(): | |
| torch.cuda.empty_cache() | |
| torch.cuda.synchronize() | |
| import gc; gc.collect() | |
| return return_path | |