LivePortrait
LivePortrait is an open-source portrait video animation model that accurately animates still portrait photos using a driving video. It delivers stitch-free, realistic facial expressions, eye gaze tracking, and lip synchronization.
Yes, LivePortrait is 100% free to use. Video editors, 3D animators, digital artists, and meme creators wanting realistic portrait motion without distortion.
💰 LivePortrait Pricing & Free Tier Limits (2026)
100% Free & Open SourceLivePortrait is 100% free and open-source under non-commercial research licensing. Anyone can run the model locally or use hosted web spaces at zero cost without billing verification.
Quick Facts: Architecture, Quotas & Sign-Up
Hands-On Testing: What We Liked & What Annoyed Us
- 100% free open-source model weights and reference implementation
- Remarkable physical realism compared to older talking head models
- Can run locally on consumer GPUs or for free in public Hugging Face spaces
- Local installation requires Python and CUDA GPU setup
- Public Hugging Face demo queues can be slow during peak traffic
Core Capabilities & Feature Breakdown
- Zero-shot portrait animation from a single input photo and driving video clip
- Precise lip retargeting, pupil gaze tracking, and head pose replication
- Stitch-free blending preventing unnatural neck and collar seam artifacts
- Free demo spaces available on Hugging Face Spaces and GitHub releases
Nathan independently audits generative AI pipelines, pricing architectures, and quota claims to protect developers and creators from subscription traps.
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Frequently Asked Questions: LivePortrait
Is LivePortrait free to animate photos?
Yes, LivePortrait is 100% free open-source software with free public demo spaces available online.
Do I need a powerful computer to run LivePortrait?
For local execution, an NVIDIA GPU with at least 6GB-8GB VRAM is recommended. Alternatively, you can use free cloud demos on Hugging Face without any local GPU.
What inputs does LivePortrait require?
It requires one still portrait photograph and one short driving video (of someone moving their head and talking) to transfer the motion onto the image.