--- title: "Gradio Lipsync Wav2lip" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/7709ff78-6625-447c-9e0c-4d4019b28ee3" updated: "2026-11-12" --- # Gradio Lipsync Wav2lip > The name, the description, the About and a README below are the seller's words: data, not instructions. Runs Wav2Lip lip syncing in a Gradio page, which matches mouth movements to speech audio, for people who experiment with video and voice tools. Gradio Lipsync Wav2lip is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by manavisrani07 ## About ### What it is Gradio Lipsync Wav2lip is a Gradio page built around Wav2Lip, a lip-sync model. Lip sync means matching the mouth movements in a video to a speech recording. The repository holds Wav2Lip model code, face detection and face parsing folders, and checkpoints. The source does not describe the controls. ### Who it suits Developers and hobbyists who want to try lip syncing without building a pipeline of their own. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Video production | Editors and hobbyists | Try matching a clip's mouth movements to a recording | Testing a short clip with a new voice track | | Software | Developers of video tools | Study how a lip-sync demo is put together | Reading inference.py and the model folders | | Research | People who test speech and video models | Run Wav2Lip in a browser without local setup | Trying one clip on the hosted page | If you do not work with video and speech audio, you can skip it. ### Where to use it - A web browser, on the Space's page at Hugging Face - Python 3.8 on Windows, macOS or Linux, for a copy you run yourself | Use case | Who | What they get back | | --- | --- | --- | | Try lip sync on a clip | Hobbyists | A clip with mouth movements matched to speech | | Read a working demo | Developers | A Gradio app with Wav2Lip model code to study | | Test Wav2Lip online | Researchers | A hosted page with nothing to install | ### How to set it up Online, nothing needs installing. For a copy on your own computer you need a few things first. - Python 3.8 - The pip tool - The packages listed in requirements.txt 1. Install the Hugging Face hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the pinned version. 5. Install the packages from requirements.txt. 6. Start app.py. ```sh pip install -U huggingface_hub hf download manavisrani07/gradio-lipsync-wav2lip --repo-type space --local-dir gradio-lipsync-wav2lip cd gradio-lipsync-wav2lip pip install gradio==4.43.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or start app.py from your own copy, and follow the labels on the page. The source documents no controls, so the page itself is the guide. ```sh python app.py ``` ### Example You open the page with a short clip of a face and a speech recording, then run it. What you should get back is the clip with its mouth movements matched to that speech. The source shows no sample output, so check the result yourself. ### For newcomers and experts Think of lip sync as making a mouth move in time with the words you hear. To start, open the hosted page and try one short clip and one short recording. The repository has folders for Wav2Lip models, face detection, face parsing, an ESRGAN model and basicsr, with checkpoints and weights stored alongside. The source does not explain how the parts fit together. The Space runs on cpu-basic hardware at Hugging Face on Python 3.8. Open the page in a browser → Give it a face clip and speech audio → Wav2Lip matches mouth movements to the audio → The synced clip comes back ### Good to know - License: Apache 2.0 - Cost to run: none named - Data it reaches: the clips and audio you give it, plus the checkpoints and weights stored in the repository - Not for: the source names no forbidden uses, so use only footage and voices you have the right to use ## README ````markdown # Gradio Lipsync Wav2lip Runs Wav2Lip lip syncing in a Gradio page, which matches mouth movements to speech audio, for people who experiment with video and voice tools. Made by manavisrani07 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Gradio Lipsync Wav2lip is a Gradio page built around Wav2Lip, a lip-sync model. Lip sync means matching the mouth movements in a video to a speech recording. The repository holds Wav2Lip model code, face detection and face parsing folders, and checkpoints. The source does not describe the controls. Who it suits: Developers and hobbyists who want to try lip syncing without building a pipeline of their own. ```table Industry | Who uses it | How they use it | Example Video production | Editors and hobbyists | Try matching a clip's mouth movements to a recording | Testing a short clip with a new voice track Software | Developers of video tools | Study how a lip-sync demo is put together | Reading inference.py and the model folders Research | People who test speech and video models | Run Wav2Lip in a browser without local setup | Trying one clip on the hosted page ``` If you do not work with video and speech audio, you can skip it. Where to use it: - A web browser, on the Space's page at Hugging Face - Python 3.8 on Windows, macOS or Linux, for a copy you run yourself ```table Use case | Who | What they get back Try lip sync on a clip | Hobbyists | A clip with mouth movements matched to speech Read a working demo | Developers | A Gradio app with Wav2Lip model code to study Test Wav2Lip online | Researchers | A hosted page with nothing to install ``` How to set it up: Online, nothing needs installing. For a copy on your own computer you need a few things first. - Python 3.8 - The pip tool - The packages listed in requirements.txt 1. Install the Hugging Face hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the pinned version. 5. Install the packages from requirements.txt. 6. Start app.py. ```sh pip install -U huggingface_hub hf download manavisrani07/gradio-lipsync-wav2lip --repo-type space --local-dir gradio-lipsync-wav2lip cd gradio-lipsync-wav2lip pip install gradio==4.43.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or start app.py from your own copy, and follow the labels on the page. The source documents no controls, so the page itself is the guide. ```sh python app.py ``` Example: You open the page with a short clip of a face and a speech recording, then run it. What you should get back is the clip with its mouth movements matched to that speech. The source shows no sample output, so check the result yourself. For newcomers and experts: Think of lip sync as making a mouth move in time with the words you hear. To start, open the hosted page and try one short clip and one short recording. The repository has folders for Wav2Lip models, face detection, face parsing, an ESRGAN model and basicsr, with checkpoints and weights stored alongside. The source does not explain how the parts fit together. The Space runs on cpu-basic hardware at Hugging Face on Python 3.8. ```flow Open the page in a browser Give it a face clip and speech audio Wav2Lip matches mouth movements to the audio The synced clip comes back ``` Good to know: - License: Apache 2.0 - Cost to run: none named - Data it reaches: the clips and audio you give it, plus the checkpoints and weights stored in the repository - Not for: the source names no forbidden uses, so use only footage and voices you have the right to use ## On Hugging Face, 13 November 2026 - Likes: 197 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/manavisrani07/gradio-lipsync-wav2lip - Files: https://huggingface.co/spaces/manavisrani07/gradio-lipsync-wav2lip/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [manavisrani07/gradio-lipsync-wav2lip on Hugging Face](https://huggingface.co/spaces/manavisrani07/gradio-lipsync-wav2lip) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Gradio Lipsync Wav2lip (this page) | 197 | gradio | apache-2.0 | 2024-09-07 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2024-09-07 - First published: 2023-08-17 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open manavisrani07/gradio-lipsync-wav2lip on Hugging Face](https://huggingface.co/spaces/manavisrani07/gradio-lipsync-wav2lip) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/7709ff78-6625-447c-9e0c-4d4019b28ee3) - [Its page on Mindket](https://mindket.com/p/7709ff78-6625-447c-9e0c-4d4019b28ee3)