MoCha by Meta

MoCha creates photorealistic talking avatars supporting multi-character dialogues with precise emotional control and lip synchronization. Researchers advance conversational AI while creators explore virtual character interactions. The model handles complex social dynamics from simple text/audio inputs. Single image + text/audio produces expressive talking heads with natural gaze direction, emotional prosody, and character interactions. Multi-speaker mode generates synchronized conversations maintaining individual identities and spatial relationships. Emotion conditioning creates context-appropriate facial expressions and body language. Applications span virtual meetings, character animation, language tutoring, and social AI companions. Zero-shot adaptation works across diverse faces and languages. Temporal super-resolution ensures smooth 60fps output from low-frame inputs. Free research release includes model weights and inference pipeline. High VRAM requirements limit consumer access. Ethical safeguards prevent deepfake misuse. Primarily advances multimodal AI research.