Omni-Human is an advanced video generation model designed to turn minimal inputs — such as a single photo plus motion signals (audio, video, or body pose) — into highly realistic, lip‑synced human videos. It combines multiple input types at once, so you can drive natural facial expressions, head movements, hand gestures and full-body motion using audio or pose data, and even provide short text prompts or style references to shape the output. The model excels at producing perfectly synchronized speech and singing performances, including automatic lyric alignment for musical content. Beyond humans, Omni-Human can animate animals, objects or stylized characters, and it supports multiple artistic looks, aspect ratios and arbitrary video lengths, making it suitable for portrait, half-body or full‑body productions. Practical benefits for users include quick creation of digital avatars and virtual influencers, realistic lip‑synced clips for marketing and brand spokespeople, AI-driven performances for film and music video previsualization, and rapid prototyping for game and animation assets. The model is robust to varied input angles (including side profiles and upward views) and tolerates different image qualities better than many alternatives. Limitations to consider: output quality depends on the quality of supplied images and audio, complex generation can be computationally intensive, and access may be restricted by platform or licensing. For best results, provide clear reference images and high-quality motion signals. Overall, Omni-Human streamlines the creation of lifelike, expressive videos from minimal resources, enabling creators and professionals to produce polished, lip-synced animations faster and with fewer production constraints.