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app.py

@@ -10,8 +10,7 @@ import os
 CONFIG_PATH = Path("configs/unet/second_stage.yaml")
 CHECKPOINT_PATH = Path("checkpoints/latentsync_unet.pt")
 
-# subprocess.run(["huggingface-cli", "download", "Hyathi/LatentSync", "--local-dir", "checkpoints", "--exclude", "*.git*", "README.md"])
-subprocess.run(["huggingface-cli", "download", "Hyathi/LatentSync", "--local-dir", "checkpoints", "--exclude", "*.git*", "README.md", "--token", os.environ["HF_TOKEN"]])
+subprocess.run(["huggingface-cli", "download", "Hyathi/SoundImage-LipSync", "--local-dir", "checkpoints", "--exclude", "*.git*", "README.md", "--token", os.environ["HF_TOKEN"]])
 
 def process_video(
     video_path,

data_processing_pipeline.sh

@@ -1,9 +0,0 @@
-#!/bin/bash
-
-python -m preprocess.data_processing_pipeline \
-    --total_num_workers 20 \
-    --per_gpu_num_workers 10 \
-    --resolution 256 \
-    --sync_conf_threshold 3 \
-    --temp_dir temp \
-    --input_dir /mnt/bn/maliva-gen-ai-v2/chunyu.li/VoxCeleb2/raw

eval/eval_sync_conf.py

@@ -18,7 +18,7 @@ import tqdm
 from statistics import fmean
 from eval.syncnet import SyncNetEval
 from eval.syncnet_detect import SyncNetDetector
-from latentsync.utils.util import red_text
+from soundimage.utils.util import red_text
 import torch
 
 

eval/eval_syncnet_acc.py

@@ -17,8 +17,8 @@ from tqdm.auto import tqdm
 import torch
 import torch.nn as nn
 from einops import rearrange
-from latentsync.models.syncnet import SyncNet
-from latentsync.data.syncnet_dataset import SyncNetDataset
+from soundimage.models.syncnet import SyncNet
+from soundimage.data.syncnet_dataset import SyncNetDataset
 from diffusers import AutoencoderKL
 from omegaconf import OmegaConf
 from accelerate.utils import set_seed

inference.sh

@@ -1,9 +0,0 @@
-#!/bin/bash
-
-python -m scripts.inference \
-    --unet_config_path "configs/unet/second_stage.yaml" \
-    --inference_ckpt_path "checkpoints/latentsync_unet.pt" \
-    --guidance_scale 1.0 \
-    --video_path "assets/demo1_video.mp4" \
-    --audio_path "assets/demo1_audio.wav" \
-    --video_out_path "video_out.mp4"

preprocess/affine_transform.py

@@ -12,8 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from latentsync.utils.util import read_video, write_video
-from latentsync.utils.image_processor import ImageProcessor
+from soundimage.utils.util import read_video, write_video
+from soundimage.utils.image_processor import ImageProcessor
 import torch
 from einops import rearrange
 import os

preprocess/filter_high_resolution.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 import mediapipe as mp
-from latentsync.utils.util import read_video
+from soundimage.utils.util import read_video
 import os
 import tqdm
 import shutil

preprocess/remove_broken_videos.py

@@ -16,8 +16,8 @@ import os
 from multiprocessing import Pool
 import tqdm
 
-from latentsync.utils.av_reader import AVReader
-from latentsync.utils.util import gather_video_paths_recursively
+from soundimage.utils.av_reader import AVReader
+from soundimage.utils.util import gather_video_paths_recursively
 
 
 def remove_broken_video(video_path):

preprocess/remove_incorrect_affined.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 import mediapipe as mp
-from latentsync.utils.util import read_video, gather_video_paths_recursively
+from soundimage.utils.util import read_video, gather_video_paths_recursively
 import os
 import tqdm
 from multiprocessing import Pool

scripts/inference.py

@@ -16,11 +16,11 @@ import argparse
 from omegaconf import OmegaConf
 import torch
 from diffusers import AutoencoderKL, DDIMScheduler
-from latentsync.models.unet import UNet3DConditionModel
-from latentsync.pipelines.lipsync_pipeline import LipsyncPipeline
+from soundimage.models.unet import UNet3DConditionModel
+from soundimage.pipelines.lipsync_pipeline import LipsyncPipeline
 from diffusers.utils.import_utils import is_xformers_available
 from accelerate.utils import set_seed
-from latentsync.whisper.audio2feature import Audio2Feature
+from soundimage.whisper.audio2feature import Audio2Feature
 
 
 def main(config, args):

scripts/train_syncnet.py

@@ -18,10 +18,10 @@ import logging
 from omegaconf import OmegaConf
 import shutil
 
-from latentsync.data.syncnet_dataset import SyncNetDataset
-from latentsync.models.syncnet import SyncNet
-from latentsync.models.syncnet_wav2lip import SyncNetWav2Lip
-from latentsync.utils.util import gather_loss, plot_loss_chart
+from soundimage.data.syncnet_dataset import SyncNetDataset
+from soundimage.models.syncnet import SyncNet
+from soundimage.models.syncnet_wav2lip import SyncNetWav2Lip
+from soundimage.utils.util import gather_loss, plot_loss_chart
 from accelerate.utils import set_seed
 
 import torch
@@ -31,7 +31,7 @@ from einops import rearrange
 import torch.distributed as dist
 from torch.nn.parallel import DistributedDataParallel as DDP
 from torch.utils.data.distributed import DistributedSampler
-from latentsync.utils.util import init_dist, cosine_loss
+from soundimage.utils.util import init_dist, cosine_loss
 
 logger = get_logger(__name__)
 

scripts/train_unet.py

@@ -36,18 +36,18 @@ from diffusers.optimization import get_scheduler
 from diffusers.utils.import_utils import is_xformers_available
 from accelerate.utils import set_seed
 
-from latentsync.data.unet_dataset import UNetDataset
-from latentsync.models.unet import UNet3DConditionModel
-from latentsync.models.syncnet import SyncNet
-from latentsync.pipelines.lipsync_pipeline import LipsyncPipeline
-from latentsync.utils.util import (
+from soundimage.data.unet_dataset import UNetDataset
+from soundimage.models.unet import UNet3DConditionModel
+from soundimage.models.syncnet import SyncNet
+from soundimage.pipelines.lipsync_pipeline import LipsyncPipeline
+from soundimage.utils.util import (
     init_dist,
     cosine_loss,
     reversed_forward,
 )
-from latentsync.utils.util import plot_loss_chart, gather_loss
-from latentsync.whisper.audio2feature import Audio2Feature
-from latentsync.trepa import TREPALoss
+from soundimage.utils.util import plot_loss_chart, gather_loss
+from soundimage.whisper.audio2feature import Audio2Feature
+from soundimage.trepa import TREPALoss
 from eval.syncnet import SyncNetEval
 from eval.syncnet_detect import SyncNetDetector
 from eval.eval_sync_conf import syncnet_eval

setup_env.sh

@@ -1,23 +0,0 @@
-#!/bin/bash
-
-# Create a new conda environment
-conda create -y -n latentsync python=3.10.13
-conda activate latentsync
-
-# Install ffmpeg
-conda install -y -c conda-forge ffmpeg
-
-# Python dependencies
-pip install -r requirements.txt
-
-# OpenCV dependencies
-sudo apt -y install libgl1
-
-# Download all the checkpoints from HuggingFace
-huggingface-cli download Hyathi/LatentSync --local-dir checkpoints --exclude "*.git*" "README.md"
-
-# Soft links for the auxiliary models
-mkdir -p ~/.cache/torch/hub/checkpoints
-ln -s $(pwd)/checkpoints/auxiliary/2DFAN4-cd938726ad.zip ~/.cache/torch/hub/checkpoints/2DFAN4-cd938726ad.zip
-ln -s $(pwd)/checkpoints/auxiliary/s3fd-619a316812.pth ~/.cache/torch/hub/checkpoints/s3fd-619a316812.pth
-ln -s $(pwd)/checkpoints/auxiliary/vgg16-397923af.pth ~/.cache/torch/hub/checkpoints/vgg16-397923af.pth