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# Copyright (c) 2024 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import subprocess
from tqdm import tqdm
import random
def inference_video_from_fileslist(
video_fileslist: str,
audio_fileslist: str,
output_dir: str,
unet_config_path: str,
ckpt_path: str,
guidance_scale: float,
seed: int = 42,
):
with open(video_fileslist, "r", encoding="utf-8") as file:
video_paths = [line.strip() for line in file.readlines()]
with open(audio_fileslist, "r", encoding="utf-8") as file:
audio_paths = [line.strip() for line in file.readlines()]
random.seed(seed)
output_dir = f"{output_dir}__{seed}"
os.makedirs(output_dir, exist_ok=True)
random.shuffle(video_paths)
random.shuffle(audio_paths)
min_length = min(len(video_paths), len(audio_paths))
video_paths = video_paths[:min_length]
audio_paths = audio_paths[:min_length]
random.shuffle(video_paths)
random.shuffle(audio_paths)
for index, video_path in tqdm(enumerate(video_paths), total=len(video_paths)):
audio_path = audio_paths[index]
video_name = os.path.basename(video_path)[:-4]
audio_name = os.path.basename(audio_path)[:-4]
video_out_path = os.path.join(output_dir, f"{video_name}__{audio_name}.mp4")
inference_command = f"python -m scripts.inference --guidance_scale {guidance_scale} --unet_config_path {unet_config_path} --video_path {video_path} --audio_path {audio_path} --video_out_path {video_out_path} --inference_ckpt_path {ckpt_path}"
subprocess.run(inference_command, shell=True)
if __name__ == "__main__":
video_fileslist = "/mnt/bn/maliva-gen-ai-v2/chunyu.li/fileslist/video_fileslist.txt"
audio_fileslist = "/mnt/bn/maliva-gen-ai-v2/chunyu.li/fileslist/audio_fileslist.txt"
output_dir = "/mnt/bn/maliva-gen-ai-v2/chunyu.li/inference_videos_results"
unet_config_path = "configs/unet/stage2.yaml"
ckpt_path = "checkpoints/latentsync_unet.pt"
guidance_scale = 1.5
seed = 42
inference_video_from_fileslist(
video_fileslist, audio_fileslist, output_dir, unet_config_path, ckpt_path, guidance_scale, seed
)
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