GVCLab/PersonaLive

Health v2 · maintenance only

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3552 stars · 502 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PersonaLive is a diffusion-based framework for real-time, streamable portrait image animation, generating infinite-length expressive talking-head videos from a single reference image. It combines hybrid implicit facial signals, appearance distillation, and autoregressive micro-chunk streaming to achieve 7-22x speedups over prior diffusion portrait animation models.

Use cases

• animate a portrait photo into a talking-head video
• generate real-time avatar animation for live streaming
• create long talking videos from a single image on 12GB VRAM
• drive facial expressions and head motion from audio or keypoints
• integrate portrait animation into ComfyUI workflows
• research streaming diffusion video generation

When to choose

• you need real-time or low-latency talking-head generation for streaming
• you want infinite-length portrait animation with limited GPU memory
• you need state-of-the-art expressive portrait animation quality
• you want a CVPR-published model with pretrained weights and training code

When to avoid

• you need production-grade licensed software for commercial use (academic-only disclaimer)
• you have no GPU or limited VRAM below 12GB
• you need non-portrait video generation
• you require guaranteed support or stability for mission-critical systems

Facets

library · maturity active

video-processing computer-vision deep-learning machine-learning image-processing computer-vision deep-learning artificial-intelligence media python cross-platform talking-head portrait-animation live-streaming diffusion-models real-time cvpr2026 video-generation streaming-inference video gpu linux

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