GAGA-1 is an innovative video generation model developed by Gaga AI (SandAI Pte. Limited). Its core innovation lies in the unified co-generation of voice, lip-sync, and facial expressions within a single pipeline, rather than generating them separately and stitching them together. This dramatically improves video synchronization, emotional expression, and realism.
Eliminates the traditional "good audio but slightly misaligned lips" problem, achieving perfect audio-visual synchronization.
Precisely captures subtle movements of eyes, eyebrows, and mouth corners, making digital humans more realistic and lifelike.
Automatically adjusts avatar tone and expressions based on content emotion (formal speech, lyrical narration, advertising, etc.).
The Pro version introduces breakthrough features, providing more powerful tools for enterprises and creators
Users can upload custom voice samples, and the generated digital human can match the "voice characteristics" of that sample, such as brand spokesperson tone or voice personification, achieving true personalized customization.
In addition to traditional 16:9 landscape mode, the new version supports 9:16 (portrait) mode, perfectly adapting to mobile and social media platforms (TikTok, Douyin, Instagram Reels).
GAGA-1 Pro improves rendering speed and detail quality compared to the base version, making batch production of digital human videos more efficient, with support for up to 4K resolution output (Beta).
{"id": "gen_73b82a9c",
"model": "gaga-1-pro",
"status": "completed",
"video_url": "https://cdn.gaga.art/...",
"duration": 12.5,
"resolution": "1080p",
"ratio": "16:9"
}Generation time: 30 seconds - 2 minutes (depending on length & resolution)
| Feature | GAGA-1 | GAGA-1 Pro | Description |
|---|---|---|---|
| Rendering Speed | 1× | 1.5× | Improved inference engine |
| Max Resolution | 1080p | 4K Beta | Pro supports 4K output |
| Emotion Recognition | 90% | 96% | Based on Semantic Emotion Vector (SEV) |
| Multi-language | ✅ | ✅ | 20+ languages (EN/CN/ES/FR, etc.) |
| Portrait Output | ❌ | ✅ | Optimized for short-video platforms |
curl https://api.gaga.art/v1/generations \
-H "Authorization: Bearer sk-xxxxxx" \
-H "Content-Type: application/json" \
-d '{
"model": "gaga-1-pro",
"source": "https://example.com/photo.jpg",
"audio": "https://example.com/voice.mp3",
"resolution": "1080p",
"ratio": "9:16",
"emotion_mode": "formal",
"voice_id": "brand_voice_001"
}'GAGA-1 is based on a Multimodal Transformer Architecture, integrating the following core modules:
Extracts acoustic features and semantic rhythm from audio
Generates frame-by-frame facial movements
Infers emotion vectors based on semantic context
Generates video frames using diffusion models
Ensures smooth inter-frame motion transitions
Rapidly generate TikTok, Douyin, and Reels content
Create AI instructors for course delivery
Virtual spokespersons and brand content distribution
Batch generate multi-language video versions
Future versions (potentially named GAGA-2) may introduce the following capabilities:
Full-Body Synthesis, beyond facial expressions
Real-Time Avatar supporting live interactions
Text-to-Performance, generating performances directly from scripts
Integration with WebRTC / OBS for real-time digital human live streaming