talking-head-anime-2-demo
Demo programs for a Talking Head Anime creation tool that uses single-image inputs to generate expressive animations
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Demo programs for animating expressive anime heads using deep learning on images
Good fit when
- For creating animated anime faces with rich expressions from single-image inputs when you have access to specific hardware like a high-end GPU and an iPhone X or newer
- You must ensure your software environment supports the required Python version, PyTorch with CUDA, and wxPython for GUI operations
Avoid when
- Avoid if you lack the necessary powerful Nvidia GPU or suitable iOS device
- Not recommended without a compatible software setup including specific versions of Python and PyTorch, as well as an active wireless network for synchronization between devices
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1492d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install talking-head-anime-2-demoSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This project features software components for animating expressions on anime-style heads using deep learning techniques on images and video feeds.
Capability facts
- Languages
- python
Source: github.language · Jul 31, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 31, 2026)
Both programs were written in Python 3. To run the GUIs, the following software packages are required:Source link
Tags
README
Hardware Requirements
Both programs require a recent and powerful Nvidia GPU to run. I could personally ran them at good speed with the Nvidia Titan RTX. However, I think recent high-end gaming GPUs such as the RTX 2080, the RTX 3080, or better would do just as well.
The ifacialmocap_puppeteer requires an iOS device that is capable of computing
blend shape parameters from a video
feed. This means that the device must be able to run iOS 11.0 or higher and must have a TrueDepth front-facing camera.
(See this page for
more info.) In other words, if you have the iPhone X or something better, you should be all set. Personally, I have
used an iPhone 12 mini.
Software Requirements
Both programs were written in Python 3. To run the GUIs, the following software packages are required:
- Python >= 3.8
- PyTorch >= 1.7.1 with CUDA support
- SciPY >= 1.6.0
- wxPython >= 4.1.1
- Matplotlib >= 3.3.4
In particular, I created the environment to run the programs with Anaconda, using the following commands:
> conda create -n talking-head-anime-2-demo python=3.8
> conda activate talking-head-anime-2-demo
> conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
> conda install scipy
> pip install wxPython
> conda install matplotlib
Note: You may find that the particular versions of Python (3.8) and CUDA Toolkit (10.2) might not work for your particular computer setup. When this happens, replace these versions with those that work with your hardware. The command would become:
> conda create -n talking-head-anime-2-demo python=[YOUR-PYTHON-VERSION]
> conda activate talking-head-anime-2-demo
> conda install pytorch torchvision cudatoolkit=[YOUR-CUDA-TOOLKIT-VERSION] -c pytorch
> conda install scipy
> pip install wxPython
> conda install matplotlib
In general, the latest version of Python and the latest version of CUDA Toolkit shown on PyTorch's website would work.
To run the Jupyter notebook version of the manual_poser, you also need:
- Jupyter Notebook >= 6.2.0
- IPyWidgets >= 7.6.3
This means that, in addition to the commands above, you also need to run:
> conda install -c conda-forge notebook
> conda install -c conda-forge ipywidgets
> jupyter nbextension enable --py widgetsnbextension
Lastly, the ifacialmocap_puppeteer requires iFacialMocap, which is
available in the App Store for 980 yen. You also need to
install the paired desktop application on your PC or Mac. (Linux users,
I'm sorry!) Your iOS and your computer must also use the same network. (For example, you may connect them to the same
wireless router.)
For agents
This page has a .md twin and JSON over the API.