Create consistent AI influencers for photos, videos and UGC content in minutes
Generative video models for animation
Stage
Not given
Not given
Founded
Not given
Not given
Based in
SG
US
Pricing model
Freemium
Not given
Pricing
Free trial available. Paid plans based on monthly credits: approximately 100 photos or 10-20 max-length videos for entry tier, up to 1,500 photos or 50-100 max-length videos for highest tier. Cost per credit: 19.0¢ for first plan down to 13.3¢ for highest volume plan. Extra credits available for 24¢
Not given
Key features
Trait-based AI influencer builder with gender, ethnicity, age, body, skin tone, eye, hair options
AI clone from 1-4 personal photos for consistent face across all content
Batch generation of up to 32 photos per prompt with customizable aspect ratios
Talking videos with native audio generation in 40+ languages
Motion transfer to apply reference video movements while keeping face locked
Virtual try-on with garment upload and category selection
Reel recreation from breakout Instagram content with same beats and cuts
Photo editing with prompt-based changes to background, outfit and lighting
Full commercial rights to all generated content with no public model training
Access to frontier AI models continuously tested and deployed
Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
4× more aggressive token reduction than Linum v2
Converges in 11× fewer samples than Linum v2
2B-parameter model with frozen Qwen text encoder
Pixel-space diffusion with multi-resolution readouts
PixelREPA alignment with DINOv3-L
Curriculum learning over noise schedule
What makes it different
Same consistent face and identity across every photo, video and reel—not different faces each prompt
Full commercial rights to all generated content and AI models, with privacy locked to account
Instant results from simple trait selection or photo upload, no training or waiting
Multilingual video generation in 40+ languages with lip-sync matching
Low-cost training: full 2B model trained for just $21K in compute
Controls baked into model training rather than post-hoc fine-tuning
Pixel-space compression without separate VAE bottleneck
Apache 2.0 open release with full model weights and code
The Influencer AI
Linum