What is the primary technology behind Live-Portrait?

Live-Portrait is based on an implicit keypoint-based framework that focuses on efficiency and stitching/retargeting control, allowing for realistic facial animation without heavy computational requirements.

Can I use my own videos to drive the animation?

Yes, you can upload a 'driving video' which the AI analyzes to extract motion data, applying those specific facial expressions and head tilts to your target image.

Does it support non-human characters?

While optimized for human faces, it has shown high compatibility with stylized characters, including anime, cartoons, and classical paintings.

Is Live-Portrait available for local use?

Yes, it is open-source and can be installed on local machines with NVIDIA GPUs, or integrated into workflows like ComfyUI and Automatic1111.

What image formats are supported?

The tool generally supports standard image formats including PNG, JPEG, and WEBP for the source portrait.

Is there an API available for developers?

Yes, several cloud providers like Replicate and Segmind host Live-Portrait as an API, allowing developers to integrate its animation capabilities into their own applications.

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Avatar animation

Free

Live-Portrait

Animate static portraits into lifelike videos using reference movements. High-speed, AI-driven facial expression transfer with precise control over eye and lip synchronization.

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Rating

Reviews

Upvotes

4 months ago

Listed

Avatar animation

Talking Head

Image-to-Video

Facial Animation

Open Source

AI Video Generation

Lip Sync

Deepfake

Creative Suite

Tool information

Provider

Kuaishou Technology

Platforms

Web

Windows

Linux

MacOS

Languages

English

API Available

Yes

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Free

About Live-Portrait

What the tool does and who it's for

Live-Portrait is an efficient, high-fidelity AI animation framework designed to transform static portrait images into dynamic videos. Developed by Kuaishou Technology (KwaiVGI), it utilizes a video-driven approach to map facial expressions and head movements from a reference video onto a source image. Unlike traditional methods, it excels at capturing subtle nuances like eye blinks, lip-syncing, and micro-expressions with temporal consistency. The tool is widely available as an open-source model, supporting various implementations including Gradio web interfaces, ComfyUI nodes, and cloud-based API endpoints for developers seeking high-speed, zero-shot image-to-video synthesis.

Key capabilities

Video-Driven Animation: Use any driving video to dictate the movements of a static portrait.

Precise Expression Transfer: High-fidelity mapping of eye blinks and mouth movements.

Stitching and Retargeting: Seamlessly blends animated faces back into original image backgrounds.

Zero-Shot Capability: No specific training required for new faces; works instantly on any portrait.

Cross-Style Support: Animates real photos, 2D avatars, oil paintings, and 3D characters.

High-Speed Processing: Optimized architecture allows for near real-time animation generation.

Local Installation: Can be run locally via GitHub repositories or ComfyUI for privacy and control.

Cloud Integration: Accessible via Hugging Face Spaces and Replicate for easy testing.

Pricing

Free — plans below

Open Source

Cloud Demos

Free

Hugging Face hosting
Web-based interface
No GPU required locally
Public queue

API Usage

Usage-based

Pay-per-GPU second (e.g., Replicate/Segmind)
Production-ready infrastructure
Scalable endpoints
Technical support

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