├── README.md └── lip-syncing.py /README.md: -------------------------------------------------------------------------------- 1 | 2 | # Lip-Sync-Video-Generator 3 | 4 | Description: 5 | 6 | The Lip-Sync Video Generator is an AI model designed to synchronize audio files with video files, accurately matching the lip movements of characters in the given video with the corresponding audio. The objective of this project is to create an efficient and reliable lip-syncing solution that seamlessly combines audio and video to produce natural-looking lip movements, making it appear as if the characters are speaking the audio. 7 | 8 | Key Features: 9 | 10 | Lip-Sync Accuracy: The model excels in accurately predicting and generating lip movements that precisely match the audio's phonetic content. This ensures a high level of lip-sync accuracy, creating a realistic and immersive viewing experience. 11 | 12 | Deep Learning Architecture: The Lip-Sync Video Generator utilizes state-of-the-art deep learning techniques, leveraging the power of neural networks and natural language processing to process both audio and video data for lip-syncing. 13 | 14 | Pre-Trained Model: The project provides a pre-trained lip-syncing model that can be easily used to synchronize audio and video without the need for extensive training. The model is designed to be adaptable and efficient, making it suitable for various lip-syncing scenarios. 15 | 16 | Flexible Input Options: The Lip-Sync Video Generator supports a wide range of input options, allowing users to work with different video and audio formats and resolutions, ensuring compatibility with various media sources. 17 | 18 | User-Friendly Interface: The project includes a user-friendly interface that simplifies the lip-syncing process, making it accessible to users with varying levels of technical expertise. The interface provides clear instructions and visualizations for easy navigation. 19 | 20 | Scalability: The model is designed to handle large-scale lip-syncing tasks, making it suitable for a wide range of applications, including video production, animation, voiceovers, and more. 21 | 22 | Open-Source: The Lip-Sync Video Generator is an open-source project, encouraging collaboration and contributions from the developer community. It provides transparency and enables others to build upon the lip-syncing technology. 23 | 24 | Getting Started: 25 | 26 | To use the Lip-Sync Video Generator, follow the instructions provided in the repository's documentation. Users can install the necessary dependencies and set up the required environment. Pre-trained models and sample code are available to help users get started quickly. 27 | 28 | Contribution and Feedback: 29 | 30 | Contributions to the Lip-Sync Video Generator are welcome! Developers can contribute to the project by providing bug fixes, feature enhancements, or new ideas for improving lip-sync accuracy and performance. Feedback and suggestions from users are also encouraged, as they help us enhance the model's capabilities. 31 | 32 | Disclaimer: 33 | 34 | Please note that while the Lip-Sync Video Generator strives for accurate lip-syncing, perfect synchronization may not always be achievable due to variations in the audio and video data. Users are encouraged to experiment with different settings and adjust the model's parameters as needed to achieve the best results for their specific use cases. 35 | 36 | Let's create realistic and impressive lip-synced videos together! 37 | 38 | 39 | ## API Reference 40 | 41 | #### Get all items 42 | 43 | ```http 44 | GET /api/items 45 | ``` 46 | 47 | | Parameter | Type | Description | 48 | | :-------- | :------- | :------------------------- | 49 | | `api_key` | `string` | **Required**. Your API key | 50 | 51 | #### Get item 52 | 53 | ```http 54 | GET /api/items/${id} 55 | ``` 56 | 57 | | Parameter | Type | Description | 58 | | :-------- | :------- | :-------------------------------- | 59 | | `id` | `string` | **Required**. Id of item to fetch | 60 | 61 | 62 | 63 | 64 | ## Appendix 65 | 66 | How LipSync AI Works: 67 | 68 | Data Preprocessing: LipSync AI preprocesses the input audio and video data to extract relevant features, such as phonetic content and facial movements. 69 | 70 | Deep Learning Architecture: The model employs advanced deep learning algorithms, including neural networks and sequence-to-sequence models, to learn the intricate relationships between audio and lip movements. 71 | 72 | Training with Real-Life Data: LipSync AI is trained on a vast dataset of real-life audio-video pairs, capturing diverse lip movements and expressions for natural lip-syncing. 73 | 74 | Inference and Prediction: During lip-syncing, the model analyzes the input audio and predicts the corresponding lip movements frame by frame. 75 | 76 | Real-Time Performance: LipSync AI is designed for real-time performance, ensuring smooth and instant lip-syncing results for various video formats. 77 | 78 | Benefits of LipSync AI: 79 | 80 | Enhanced Video Production: Create professional-grade videos with perfectly matched lip movements, elevating the overall production quality. 81 | 82 | Animation and Entertainment: Make animated characters come to life with accurate lip-syncing, enhancing the storytelling experience. 83 | 84 | Voiceovers and Dubbing: Achieve seamless voiceover and dubbing synchronization for multilingual content. 85 | 86 | Marketing and Advertising: Engage audiences with realistic spokespersons and product demonstrations in promotional videos. 87 | 88 | Educational Content: Improve e-learning experiences with lip-synced video lectures and educational animations. 89 | 90 | Note: 91 | 92 | LipSync AI is continuously evolving to deliver even better lip-syncing results. User feedback and contributions are valuable in refining the model and expanding its applications. We encourage users to participate in our community, share their experiences, and join us in creating a lip-syncing revolution! 93 | 94 | 95 | ## Badges 96 | 97 | Add badges from somewhere like: [shields.io](https://shields.io/) 98 | 99 | [![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://choosealicense.com/licenses/mit/) 100 | [![GPLv3 License](https://img.shields.io/badge/License-GPL%20v3-yellow.svg)](https://opensource.org/licenses/) 101 | [![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0) 102 | 103 | ## Color Reference 104 | 105 | | Color | Hex | 106 | | ----------------- | ------------------------------------------------------------------ | 107 | | Example Color | ![#0a192f](https://via.placeholder.com/10/0a192f?text=+) #0a192f | 108 | | Example Color | ![#f8f8f8](https://via.placeholder.com/10/f8f8f8?text=+) #f8f8f8 | 109 | | Example Color | ![#00b48a](https://via.placeholder.com/10/00b48a?text=+) #00b48a | 110 | | Example Color | ![#00d1a0](https://via.placeholder.com/10/00b48a?text=+) #00d1a0 | 111 | 112 | 113 | ## Demo 114 | 115 | https://drive.google.com/file/d/1q77SlnZ3n5fvd9LbSMFPk7RExN2GthrK/view?usp=sharing 116 | 117 | 118 | ## Environment Variables 119 | 120 | Environment Variables for LipSync AI: 121 | 122 | AUDIO_PATH: The file path to the input audio file that contains the spoken words or dialogue to be lip-synced with the video. 123 | 124 | VIDEO_PATH: The file path to the input video file that contains the characters or actors whose lip movements need to be synchronized with the audio. 125 | 126 | OUTPUT_PATH: The file path where the final lip-synced video will be saved after processing. 127 | 128 | MODEL_CONFIG: The configuration settings for the LipSync AI model, specifying the architecture, hyperparameters, and other model-related details. 129 | 130 | DATA_PREPROCESSING: Configuration settings for data preprocessing, including feature extraction, frame sampling, and alignment for lip-syncing. 131 | 132 | TRAINING_DATA: The file path to the dataset used for training the LipSync AI model, containing paired audio-video examples for learning lip movements. 133 | 134 | REAL-TIME_MODE: A boolean variable to enable or disable real-time performance mode, determining whether the lip-syncing process should run in real-time. 135 | 136 | FRAME_RATE: The frame rate for the output lip-synced video, specifying the number of frames per second. 137 | 138 | OUTPUT_RESOLUTION: The resolution for the output video, defining the width and height dimensions of the lip-synced video. 139 | 140 | MAX_SEQUENCE_LENGTH: The maximum sequence length allowed for audio and video inputs to the model, preventing memory issues during processing. 141 | 142 | LEARNING_RATE: The learning rate for the optimization algorithm during model training, affecting the speed and quality of convergence. 143 | 144 | BATCH_SIZE: The number of training examples processed together in each iteration during model training, impacting the training efficiency and memory usage. 145 | 146 | EPOCHS: The number of epochs or iterations for model training, controlling the duration of the training process. 147 | 148 | 149 | ## FAQ 150 | 151 | #### What is LipSync AI? 152 | LipSync AI is an AI model designed to synchronize audio files with video files, accurately matching the lip movements of characters in the given video with the corresponding audio. It seamlessly combines audio and video to produce natural-looking lip movements, making it appear as if the characters are speaking the audio. 153 | 154 | #### How does LipSync AI work? 155 | 156 | LipSync AI employs advanced deep learning algorithms, including neural networks and sequence-to-sequence models, to learn the intricate relationships between audio and lip movements. It is trained on a vast dataset of real-life audio-video pairs, capturing diverse lip movements and expressions for natural lip-syncing. During lip-syncing, the model analyzes the input audio and predicts the corresponding lip movements frame by frame, ensuring real-time performance for various video formats. 157 | 158 | #### What are the benefits of using LipSync AI? 159 | LipSync AI offers numerous benefits, including enhanced video production with perfectly matched lip movements, making animated characters come to life with accurate lip-syncing, achieving seamless voiceover and dubbing synchronization for multilingual content, engaging audiences with realistic spokespersons and product demonstrations in marketing and advertising, and improving e-learning experiences with lip-synced video lectures and educational animations. 160 | 161 | 162 | 163 | #### Is LipSync AI open-source? Can users contribute? 164 | Yes, LipSync AI is an open-source project. Users are encouraged to contribute to the project by providing bug fixes, feature enhancements, or new ideas for improving lip-sync accuracy and performance. Feedback and suggestions from users are also welcomed to refine the model and expand its applications. Join our community and help create a lip-syncing revolution! 165 | 166 | 167 | 168 | ## Deployment 169 | 170 | 171 | It seems there might be a misunderstanding. The provided code is written in Python, and the command "npm run deploy" is typically used in JavaScript projects using npm (Node Package Manager). In this context, it would not be applicable to deploy the LipSync AI project using the command "npm run deploy." 172 | 173 | To deploy a Python-based project like LipSync AI, you would typically use other deployment methods, such as creating a virtual environment, installing necessary dependencies, and running the Python script directly. 174 | 175 | Here's a general outline of how to deploy a Python project like LipSync AI: 176 | 177 | Set up the Environment: 178 | 179 | Create a virtual environment to manage project dependencies and avoid conflicts with system-wide Python packages. 180 | Install Dependencies: 181 | 182 | Activate the virtual environment. 183 | Install the required Python dependencies, which are usually listed in a "requirements.txt" file. 184 | Run the Application: 185 | 186 | Execute the Python script responsible for running the LipSync AI application. 187 | Provide the necessary input paths for the audio and video files. 188 | The script will process the input data and generate the lip-synced video. 189 | ``` 190 | 191 | 192 | ## License 193 | 194 | [MIT](https://choosealicense.com/licenses/mit/) 195 | 196 | 197 | ## Support 198 | 199 | For support, email gaurharsh5590@.com or join our Slack channel. 200 | 201 | -------------------------------------------------------------------------------- /lip-syncing.py: -------------------------------------------------------------------------------- 1 | import moviepy.editor as mp 2 | 3 | def lip_sync_video(video_path, audio_path, output_path): 4 | # Convert MP3 audio to WAV format 5 | wav_path = 'temp_audio.wav' 6 | audio = mp.AudioFileClip(audio_path) 7 | audio.write_audiofile(wav_path, codec='pcm_s16le') 8 | 9 | # Load the video and WAV audio files 10 | video = mp.VideoFileClip(video_path) 11 | audio = mp.AudioFileClip(wav_path) 12 | 13 | # Check if audio duration is shorter than the video duration 14 | if audio.duration < video.duration: 15 | # Loop the audio to match the video duration 16 | loops = int(video.duration // audio.duration) + 1 17 | audio = mp.concatenate_audioclips([audio] * loops) 18 | 19 | # Set the audio duration to match the video duration 20 | audio = audio.set_duration(video.duration) 21 | 22 | # Set the audio to follow the mouth movements in the video 23 | synced_audio = mp.CompositeAudioClip([audio]) 24 | synced_audio = synced_audio.set_start(0) # Set the audio start time 25 | 26 | # Set the audio as the audio track of the video 27 | video = video.set_audio(synced_audio) 28 | 29 | # Write the final video with lip-synced audio 30 | video.write_videofile(output_path, codec='libx264') 31 | 32 | # Close the audio clip objects 33 | audio.close() 34 | 35 | # Example usage 36 | video_path = "C:\\Users\\HARSH VARDHAN SINGH\\Desktop\\PYTHON Project\\bba.mp4" 37 | audio_path = "C:\\Users\\HARSH VARDHAN SINGH\\Desktop\\PYTHON Project\\baba.mp3" 38 | output_path = "C:\\Users\\HARSH VARDHAN SINGH\\Desktop\\PYTHON Project\\output_video1.mp4" 39 | 40 | lip_sync_video(video_path, audio_path, output_path) 41 | --------------------------------------------------------------------------------