kleinlee/DH_live

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2131 stars · 436 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DH_live (mini) is an open-source 2D talking-head digital human toolkit that generates real-time lip-synced avatar video from a single reference video, with no per-person training required. It includes video data preparation, model checkpoints for face detection, mesh landmarks, video generation, and speech features, plus web and realtime conversation demos (VAD-ASR-LLM-TTS-avatar) that can run on CPU and even directly in mobile browsers.

Use cases

• create a talking avatar from a single video without training
• run a real-time digital human conversation pipeline with ASR, LLM and TTS
• deploy a lightweight digital human that runs in a mobile browser
• build a web server serving a digital human avatar
• generate lip-synced video offline from audio
• embed a digital human assistant in an app or mini-program

When to choose

• you need an ultra-lightweight talking-head avatar with very low compute per frame
• you want a no-training, out-of-the-box digital human from one reference video
• you need real-time avatar inference on CPU or mobile devices
• you want a full realtime voice conversation pipeline with an avatar

When to avoid

• you need high-resolution, studio-quality avatar rendering
• you require 3D avatars or full-body animation
• you need a commercially licensed product (the repo has no license file)
• you need offline video synthesis on Linux or macOS (Windows only)

Facets

library · maturity active

machine-learning video-processing speech-recognition tts chatbot web-framework llm-inference artificial-intelligence computer-vision speech-processing web-development chatbots python cross-platform windows digital-human talking-head lip-sync real-time-avatar video-avatar no-training lightweight-inference browser-inference cpu-inference gradio web-server linux macos android ios

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kleinlee/DH_live")