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SoulX-FlashHead
Real-time talking-head framework, high-fidelity, long-duration stable audio-visual synchronization
Features
System Requirements
16GB RAM recommended. 28GB+ storage recommended.
macOS 15+: M-series chips required.
Windows 10/11: An NVIDIA RTX 30-series GPU or newer required.
Note: For NVIDIA GPUs, install a newer driver.Introduction
SoulX-FlashHead is a revolutionary open-source project developed by the Soul AI Lab (Soul App), designed for the generation of high-fidelity, real-time streaming talking heads.
- Features & Capabilities: For general users, SoulX-FlashHead can bring a static portrait to life based on any audio input. Unlike previous models that often suffer from lip-sync errors or identity distortion over time, this project ensures exceptional lip-synchronization and visual stability. Its defining characteristic is being "ultra-fast and robust": the Lite version can reach a processing speed of 96 FPS on a consumer GPU (like an RTX 4090), enabling near-zero latency interactions without losing quality even in infinite-length video generation.
- Use Cases: This technology is ideal for live streaming, AI customer service, video conferencing, online education, and AI podcasts, where real-time interaction and high visual fidelity are critical.
- Underlying Technology: SoulX-FlashHead is built on a unified 1.3B-parameter framework. Key innovations include:
- Temporal Audio Context Cache (TACC): Acts as an "8-second memory" to ensure precise audio-visual alignment.
- Oracle-Guided Bidirectional Distillation: A training scheme that suppresses error diffusion and eliminates identity drift in long sequences.
- VividHead Dataset: Trained on a proprietary 782-hour large-scale, high-quality dataset of strictly aligned audio-visual footage.
LicenseApache-2.0