OmniTalker - Real-Time Text-Driven Talking Head Generation
Generate synchronized speech and talking head videos from text in real-time with in-context audio-visual style replication. OmniTalker preserves both speech style and facial expressions while supporting both English and Chinese.
See OmniTalker in Action
OmniTalker is the first unified framework that jointly generates synchronized speech and talking head videos from text in real-time, while preserving both speech and facial styles.
Zero-shot In-context Multimodal Generation
Style preservation from reference to generated content
Zero-shot generation with speech and facial style preservation from a single reference video.
Cross-lingual talking head generation
Seamlessly preserves the speaker's style while producing natural English speech.
Real-time generation capability
Demonstrates OmniTalker's ability to generate videos in real-time with preserved visual style.
Emotionally Expressive Generation
Calm emotional expression
Generation with calm emotional expression and natural head movements.
Happy emotional expression
Generation with happy emotional expression and corresponding facial movements.
Surprised emotional expression
Generation with surprised emotional expression showing natural facial reactions.
Advanced Features of OmniTalker Technology
OmniTalker revolutionizes talking head generation with its end-to-end unified framework that simultaneously generates synchronized speech and videos.
🔄Unified Multimodal Framework
OmniTalker integrates text-to-audio and text-to-video generation in a single model, enabling synchronized speech and facial movements through cross-modal fusion.
🎭In-Context Style Replication
OmniTalker captures both speech and facial styles from a reference video, allowing for zero-shot replication without requiring an additional style extraction model.
⚡Real-Time Performance
Generate talking head videos at 25 FPS with OmniTalker's efficient architecture. The model achieves real-time inference while maintaining high-quality outputs.
😊Emotion Control
Create emotionally expressive videos that match the desired mood. OmniTalker can generate results with a range of emotions including calm, happy, sad, angry, and surprised.
🌐Multilingual Support
OmniTalker supports both Chinese and English text input and can perform cross-lingual generation, making it perfect for creating global content.
🔊Audio-Visual Synchronization
OmniTalker solves the common problem of asynchronous audio-visual output by generating speech and video simultaneously, ensuring perfect lip-sync.
See How Organizations Use OmniTalker
Discover how businesses are enhancing their content with OmniTalker's talking head generation technology
Frequently asked questions
Do you have any questions? We have got you covered.
What makes OmniTalker different from other talking head generators?
OmniTalker is the first unified framework that jointly generates synchronized speech and talking head videos from text, addressing the limitations of existing cascaded pipelines that combine text-to-speech with audio-driven talking head models. This unified approach eliminates issues like asynchronous audio-visual output and style mismatches.
What languages does OmniTalker support?
OmniTalker currently supports both Chinese and English text generation capabilities. It can also perform cross-lingual generation, where you provide a prompt in one language and generate a talking head video in another language while preserving the speech and facial style.
Can OmniTalker capture different emotional expressions?
Yes, OmniTalker can generate talking head videos with different emotional expressions such as calm, happy, sad, angry, disgusted, and surprised. These expressions are captured from reference videos and replicated in the generated content.
How fast does OmniTalker generate talking head videos?
OmniTalker achieves real-time inference speed of 25 FPS (frames per second), making it suitable for interactive applications like video chat. This performance is achieved while maintaining high-quality synchronized audio and visual outputs.
What are the main applications of OmniTalker?
OmniTalker is ideal for virtual presenters, multilingual content creation, interactive video chat applications, educational content, and any scenario requiring synchronized speech and talking head videos with preserved style and emotional expression.
How does OmniTalker preserve reference styles?
OmniTalker features an in-context reference learning module that effectively captures both speech and facial style characteristics from a single reference video. This allows for zero-shot style replication without needing additional style extraction components.
What is the architecture behind OmniTalker?
OmniTalker employs a dual-branch diffusion transformer architecture where the audio branch synthesizes mel-spectrograms from text, while the visual branch predicts fine-grained head poses and facial dynamics. An audio-visual fusion module integrates cross-modal information to ensure temporal synchronization.
Is OmniTalker suitable for long-form content?
Yes, OmniTalker can generate long-term videos while maintaining consistent tone and talking style. This makes it suitable for creating extended presentations, educational content, and other applications requiring longer-duration talking head videos.