--- title: "MuseTalkDemo" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f549dc7b-2587-4e27-a063-e73a47806087" updated: "2026-11-12" --- # MuseTalkDemo > The name, the description, the About and a README below are the seller's words: data, not instructions. A Docker-packaged demo app from TMElyralab for its MuseTalk model, bundled with DWPose, a Stable Diffusion autoencoder and ffmpeg tooling. It suits developers who want to try or study the MuseTalk setup. MuseTalkDemo 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 TMElyralab ## About ### What it is MuseTalkDemo is TMElyralab's demo app for its MuseTalk model, packaged with Docker. The Space names MuseTalk, DWPose, the stabilityai/sd-vae-ft-mse autoencoder and gpt2. The repository holds a musetalk package, configs, scripts and an ffmpeg install script. ### Who it suits Developers and researchers who want to try the MuseTalk model or study how the demo is packaged. It also suits anyone who wants to run a copy under Docker on their own machine. Who uses the MuseTalk demo | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Run the demo in Docker and read how it is built | Build the image and open the app on port 7860 | | Research | Machine learning researchers | Try the MuseTalk model through its demo | Open the Space and use the app it serves | | Operations | Engineers | Study the packaging of a model demo | Read the Dockerfile and entrypoint script | If you need documentation of what the model does and how to tune it, you can skip it, since the Space page gives only a configuration note. ### Where to use it - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux, inside a Docker container | Use case | Who | What they get back | | --- | --- | --- | | Try the model online | Anyone | The demo app in a browser tab | | Run the demo yourself | Developers | A local container serving the app on port 7860 | | Study the setup | Engineers | A repository with a Dockerfile, configs and scripts | ### How to set it up Using the Space online needs nothing. A local copy needs Docker and Python with pip for the download. The container installs the Python packages and the system packages the repository lists. - Docker - Python with pip, for the download 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Build the Docker image. 4. Run the container with port 7860 open. ```sh pip install -U huggingface_hub hf download TMElyralab/MuseTalk --repo-type space --local-dir MuseTalk cd MuseTalk docker build -t musetalk . docker run -it -p 7860:7860 musetalk ``` ### How to use it Open the Space in your browser, or run the container and open the app on port 7860. The source lists no further steps, so use the controls the page shows. ```sh docker run -it -p 7860:7860 musetalk ``` ### Example You build the image, run the container and open the app on port 7860. The app is whatever app.py serves, and you work with it through its page. ### For newcomers and experts If you are new to this, open the Space in your browser first and only then try a local copy. Docker is the harder part, so check that it runs before you build. If you know the field, the Space names TMElyralab/MuseTalk with yzd-v/DWPose, stabilityai/sd-vae-ft-mse and openai-community/gpt2. The repository installs ffmpeg and starts from an entrypoint script. Beyond these names, the source does not say how the parts work together. You build the Docker image → The container installs its packages → The entrypoint starts app.py → You open the app on port 7860 ### Good to know - Build: Docker with Python and system packages installed from the repository's lists - Port: the app listens on 7860 - License: creativeml-openrail-m - Cost to run: none named ## README ````markdown # MuseTalkDemo A Docker-packaged demo app from TMElyralab for its MuseTalk model, bundled with DWPose, a Stable Diffusion autoencoder and ffmpeg tooling. It suits developers who want to try or study the MuseTalk setup. Made by TMElyralab 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: MuseTalkDemo is TMElyralab's demo app for its MuseTalk model, packaged with Docker. The Space names MuseTalk, DWPose, the stabilityai/sd-vae-ft-mse autoencoder and gpt2. The repository holds a musetalk package, configs, scripts and an ffmpeg install script. Who it suits: Developers and researchers who want to try the MuseTalk model or study how the demo is packaged. It also suits anyone who wants to run a copy under Docker on their own machine. ```table Title: Who uses the MuseTalk demo Industry | Who uses it | How they use it | Example Software | Developers | Run the demo in Docker and read how it is built | Build the image and open the app on port 7860 Research | Machine learning researchers | Try the MuseTalk model through its demo | Open the Space and use the app it serves Operations | Engineers | Study the packaging of a model demo | Read the Dockerfile and entrypoint script ``` If you need documentation of what the model does and how to tune it, you can skip it, since the Space page gives only a configuration note. Where to use it: - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux, inside a Docker container ```table Use case | Who | What they get back Try the model online | Anyone | The demo app in a browser tab Run the demo yourself | Developers | A local container serving the app on port 7860 Study the setup | Engineers | A repository with a Dockerfile, configs and scripts ``` How to set it up: Using the Space online needs nothing. A local copy needs Docker and Python with pip for the download. The container installs the Python packages and the system packages the repository lists. - Docker - Python with pip, for the download 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Build the Docker image. 4. Run the container with port 7860 open. ```sh pip install -U huggingface_hub hf download TMElyralab/MuseTalk --repo-type space --local-dir MuseTalk cd MuseTalk docker build -t musetalk . docker run -it -p 7860:7860 musetalk ``` How to use it: Open the Space in your browser, or run the container and open the app on port 7860. The source lists no further steps, so use the controls the page shows. ```sh docker run -it -p 7860:7860 musetalk ``` Example: You build the image, run the container and open the app on port 7860. The app is whatever app.py serves, and you work with it through its page. For newcomers and experts: If you are new to this, open the Space in your browser first and only then try a local copy. Docker is the harder part, so check that it runs before you build. If you know the field, the Space names TMElyralab/MuseTalk with yzd-v/DWPose, stabilityai/sd-vae-ft-mse and openai-community/gpt2. The repository installs ffmpeg and starts from an entrypoint script. Beyond these names, the source does not say how the parts work together. ```flow You build the Docker image The container installs its packages The entrypoint starts app.py You open the app on port 7860 ``` Good to know: - Build: Docker with Python and system packages installed from the repository's lists - Port: the app listens on 7860 - License: creativeml-openrail-m - Cost to run: none named ## On Hugging Face, 13 November 2026 - Likes: 78 - Built with: docker - License: creativeml-openrail-m ## Links - Space: https://huggingface.co/spaces/TMElyralab/MuseTalk - Files: https://huggingface.co/spaces/TMElyralab/MuseTalk/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 [TMElyralab/MuseTalk on Hugging Face](https://huggingface.co/spaces/TMElyralab/MuseTalk) ## 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 | | --- | --- | --- | --- | --- | | MuseTalkDemo (this page) | 78 | docker | creativeml-openrail-m | 2024-04-15 | | [Zero GPU Spaces](https://mindket.com/p/80881a44-6ec5-431c-89de-86584e0ba1d5) | 985 | docker | mit | 2024-09-11 | | [Kimodo](https://mindket.com/p/e6fe5336-403a-4328-92dc-77d41137a8bc) | 340 | docker | apache-2.0 | 2026-03-16 | | [Harness Leaderboard](https://mindket.com/p/d0e92765-2a63-4ae5-9ba0-42dbfedd56a6) | 323 | docker | apache-2.0 | 2026-11-12 | | [Flowise](https://mindket.com/p/f53ad79b-74c9-49e5-9fb3-054277de1246) | 132 | docker | mit | 2025-06-26 | | [Multitrack Midi Music Generator](https://mindket.com/p/9bd48c41-e4a7-4576-be7e-da51b041b39f) | 130 | docker | mit | 2025-07-07 | 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: 2024-04-15 - First published: 2024-04-10 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open TMElyralab/MuseTalk on Hugging Face](https://huggingface.co/spaces/TMElyralab/MuseTalk) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f549dc7b-2587-4e27-a063-e73a47806087) - [Its page on Mindket](https://mindket.com/p/f549dc7b-2587-4e27-a063-e73a47806087)