LivePortrait

C
C tier on Photo Animation SoftwareScore 6.8 · #9 of 26
Android app
Not listed
Free plan
No
Runs on
Linux, Mac, self-hosted, Web, Windows
liveportrait.github.io
The LivePortrait homepage

Summary

LivePortrait creates portrait video from a single image, using motion from video, audio, text, or generation. It also supports editing portrait video with a source video and a driving video. Stitching and eye and lip retargeting controls let users adjust the animation. The project provides inference code, pretrained models, and a Gradio interface for local use, plus an online demo through Hugging Face Spaces. Its PyTorch implementation is released under the MIT License. The project reports generation speed of 12.8 ms on an RTX 4090 GPU with PyTorch. Human-mode instructions cover Linux, Windows, and Apple Silicon macOS; Intel macOS is untested in those instructions. Animal models can animate cats, dogs, and pandas from human-driven motion, but animal mode is tested only on Linux and Windows with an NVIDIA GPU and is unsupported on macOS. Local setup requires git, conda, FFmpeg, Python 3.10, and downloaded pretrained weights. Commercial users must replace the included InsightFace detection models. Maintainers warn of possible deepfake misuse and visual artifacts.

Who it is for

It suits developers and creators looking to animate or edit portraits using image and motion inputs. Users seeking local use should be prepared to install the listed dependencies and models.

What is good

  • Online demo is available through Hugging Face Spaces.
  • Includes local inference code and pretrained models.
  • Provides eye and lip retargeting controls.
  • Can animate cats, dogs, and pandas.

What to know first

  • Local setup requires several tools and downloaded weights.
  • Intel macOS is untested for human mode.
  • Animal mode is unsupported on macOS.
  • Commercial users must replace InsightFace detection models.

Everything Xiaomi review

LivePortrait: the full review

LivePortrait offers portrait animation controls, local inference, and a web demo. Check the platform and licensing limits, especially for animal mode and commercial use.

Overview

LivePortrait is an open-source tool for animating a portrait from a still image, using motion from video, audio, text, or generation. It best suits users comfortable with local AI tooling who want fine control over face animation. Its strongest case is flexible, locally runnable portrait work; setup and animal-mode hardware restrictions make it less straightforward than a hosted app.

It also supports portrait video editing by pairing a source video with a driving video. Face animation is supported, but depth animation is not, and MP4 is the stated export format. An online demo on Hugging Face Spaces offers a way to try it without setting up the repository.

Key features

  • Motion-driven animation: Drive a portrait with video, audio, text, or generation. That range suits users who want more than a fixed photo effect, while the source-and-driving-video workflow also covers portrait video edits.
  • Retargeting controls: Stitching and eye- and lip-retargeting modules give users more control over facial movement than a basic animation pass.
  • Animal models: Fine-tuned models animate cats, dogs, and pandas from human driving motion. This is a useful creative option, but animal mode is restricted to Linux and Windows with an NVIDIA GPU and is unsupported on macOS.
  • Performance: The project reports 12.8 ms generation speed on an RTX 4090 with PyTorch. Treat that figure as tied to the named GPU and framework, not a general speed guarantee for other hardware.
  • Privacy and integrations: Motion templates can speed inference and protect privacy. Community resources include FaceFusion, ComfyUI nodes, a Stable Diffusion WebUI extension, Replicate, FAL, Poe, and Hugging Face Spaces.

Pricing

LivePortrait is free and open source under the MIT License, with inference code, pretrained models, and a Gradio interface for local use. There is no paid plan to compare; the trade-off is that users supply the setup and hardware rather than buying a managed desktop application.

Local installation requires git, conda, FFmpeg, Python 3.10, and downloaded pretrained weights. Commercial use needs special care: InsightFace detection models included in the project are for non-commercial research, so commercial users must remove and replace them to comply with that license.

Platforms

Human mode is supported on Linux, Windows, and Apple Silicon macOS; Intel macOS is untested. Animal mode has narrower support: Linux or Windows with an NVIDIA GPU, not macOS. The Hugging Face Spaces demo provides web access, while local inference is for users prepared to install the dependencies and models.

Who it's for

LivePortrait fits technically comfortable creators who want a free, open-source portrait animation workflow with facial retargeting controls, local inference, and several motion inputs. It is a weaker fit for users who need a turnkey installation, broad animal-mode hardware support, or commercial use without replacing the included detection models. Anyone animating a real person's likeness should take consent seriously: the maintainers warn about deepfake misuse, note that results may contain visual artifacts, and disclaim legal responsibility for generated output.

Pros and cons

  • Pro: Free, MIT-licensed implementation with code and pretrained models gives users local access without a subscription.
  • Pro: Video, audio, text, and generated motion inputs plus eye and lip retargeting support a more controlled workflow than a single-purpose photo effect.
  • Pro: A web demo lets users explore the project without first completing the local setup.
  • Con: Local use depends on several installed tools, Python 3.10, and downloaded weights, which raises the setup burden.
  • Con: Animal animation excludes macOS and requires an NVIDIA GPU on Linux or Windows.
  • Con: Commercial users must replace the included InsightFace detection models, so the MIT license alone does not clear every component for commercial use.

Alternatives

For a broader comparison, browse Photo Animation Software or AI Photo Animation Tools.

  • Plotaverse is a freemium option with Android and iOS apps as well as macOS and web access; choose it if you want a mobile app rather than LivePortrait's local repository workflow.
  • Deep Nostalgia offers several free animations and works on Android, iOS, and web; it is a simpler alternative for general photo animations.
  • Hedra offers web and API access with monthly credit plans, including Basic at 20.00 USD per month and Pro at 50.00 USD per month; choose it if you prefer a hosted, credit-based service.
  • Parallax Studio is free and open source for Linux, macOS, and Windows; consider it as another no-subscription desktop option.
  • Zoetropic is a freemium Android and iOS app with basic motion and 3D effects in its free tier; pick it for a phone-based workflow.
  • Free.ai Text to Video is an API option with daily free tokens and a cap of one video clip every two days on its free plan; it is aimed at text-to-video rather than LivePortrait's portrait-animation workflow.
  • Higgsfield offers web and API access with monthly credit plans; consider it if you want a hosted service with paid credit tiers.
  • Immersity AI is an API-based freemium option; consider it if you want a service rather than a local repository.

Verdict

Choose LivePortrait if you want a free, locally runnable portrait animation system with multiple motion inputs and useful facial controls, and you are willing to handle installation and licensing boundaries. Look elsewhere if you need a simpler hosted workflow, want animal animation on macOS, or need commercial rights without replacing the bundled detection models.

Compared on photo animation software

Free plan
Yesliveportrait.github.io
Animation modes
faceliveportrait.github.io
Face animation
Yesliveportrait.github.io

Facts

purpose
LivePortrait synthesizes a lifelike portrait video from a single source image, using motion from a driving video, audio, text, or generation.liveportrait.github.io · 30 Sept 2026
controls
The system includes stitching and eye/lip retargeting modules for improved controllability.liveportrait.github.io · 30 Sept 2026
speed
Generation speed reaches 12.8 ms on an RTX 4090 GPU with PyTorch.liveportrait.github.io · 30 Sept 2026
animal support
Fine-tuned models can animate cats, dogs, and pandas using human driving motion.liveportrait.github.io · 30 Sept 2026
open source
The official implementation is provided as a PyTorch repository and is released under the MIT License.github.com · 30 Sept 2026
commercial licensing
InsightFace models included in the project are for non-commercial research, and commercial users must replace those detection models.github.com · 30 Sept 2026
local setup
The project requires git, conda, FFmpeg, Python 3.10, and downloaded pretrained weights.github.com · 30 Sept 2026
platform support
Humans mode supports Linux, Windows, and macOS with Apple Silicon; Intel macOS is not tested.github.com · 30 Sept 2026
animal limitation
Animals mode is only tested on Linux and Windows with an NVIDIA GPU and is unsupported on macOS because X-Pose does not support macOS.github.com · 30 Sept 2026
web access
The project provides an online demo through Hugging Face Spaces.github.com · 30 Sept 2026
integrations
Community resources include FaceFusion, ComfyUI nodes, a Stable Diffusion WebUI extension, Replicate, FAL, Poe, and Hugging Face Spaces.github.com · 30 Sept 2026
privacy
Motion templates can be used to speed inference and protect privacy.github.com · 30 Sept 2026
security updates
The maintainers updated the transformers and gradio versions to avoid security vulnerabilities.github.com · 30 Sept 2026
risk notice
The maintainers warn that portrait animation can be misused for deepfakes and state that they assume no legal responsibility for generated results.github.com · 30 Sept 2026
support
Users are invited to raise GitHub issues or submit pull requests, and the repository lists Jianzhu Guo's email contact.github.com · 30 Sept 2026
Animation controls
The project includes stitching and eye and lip retargeting controls for portrait animation.liveportrait.github.io · 2 Oct 2026
Video editing
The project supports portrait video editing using a source video and a driving video.github.com · 2 Oct 2026
Animal animation
An animal model can animate cats, dogs, and pandas using human-driven motion.liveportrait.github.io · 2 Oct 2026
Performance
The project reports generation speed of 12.8 ms on an RTX 4090 GPU with PyTorch.liveportrait.github.io · 2 Oct 2026
Local use
The repository provides inference code, pretrained models, and a Gradio interface for local use.github.com · 2 Oct 2026
Supported systems
The repository documents human-mode use on Linux and Windows and on Apple Silicon macOS; Intel macOS is untested or unsupported in the stated instructions.github.com · 2 Oct 2026
Hardware limits
The repository says animal mode is tested only on Linux and Windows with an NVIDIA GPU, and is unsupported on macOS because its X-Pose dependency does not support macOS.github.com · 2 Oct 2026
Web demo
The maintainers link to a LivePortrait demo hosted on Hugging Face Spaces.github.com · 2 Oct 2026
Security
The maintainers report updating the Transformers and Gradio library versions in October 2024 to avoid security vulnerabilities.github.com · 2 Oct 2026
License and commercial use
The repository includes an MIT license but says commercial users must remove and replace InsightFace detection models to comply with that license.github.com · 2 Oct 2026
Ethics
The maintainers warn about deepfake misuse, note that generated results may contain visual artifacts, and disclaim legal responsibility for use of generated results.github.com · 2 Oct 2026
Community integrations
The repository lists community-developed ComfyUI nodes, a Stable Diffusion WebUI extension, and FaceFusion processors that use LivePortrait.github.com · 2 Oct 2026

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