SoulX-FlashHead: Oracle-guided Generation of Infinite Real-time Streaming Talking Heads
Achieving a balance between high-fidelity visual quality and low-latency streaming remains a formidable challenge in audio-driven portrait generation. Existing large-scale models often suffer from prohibitive computational costs, while lightweight alternatives typically compromise on holistic facial representations and temporal stability. In this paper, we propose SoulX-FlashHead, a unified 1.3B-parameter framework designed for real-time, infinite-length, and high-fidelity streaming video generation. To address the instability of audio features in streaming scenarios, we introduce Streaming-Aware Spatiotemporal Pre-training equipped with a Temporal Audio Context Cache mechanism, which ens...
| Authors | Tan Yu, Qian Qiao, Le Shen et al. |
|---|---|
| Primary category | cs.CV |
| Published | 7 February 2026 |
| Last updated at source | 11 February 2026 |
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