Face ID (Portrait)

Overview

TensorsLab Face ID is a self-hosted identity-preserving image generation model, optimized for production workloads requiring consistent facial identity across pose, lighting, style, and context changes. Built on a tuned SDXL foundation combined with a specialized face embedding model, Face ID generates photorealistic portraits where the subject remains recognizably the same person across hundreds of generations — a critical requirement for personalized marketing, character-driven content, virtual try-on, and avatar pipelines. As a self-hosted deployment, Face ID is billed monthly per service instance, with per-generation cost effectively dropping to as low as $0.001 at scale — roughly 90% cheaper than equivalent retail aggregator pricing. Contact sales for a trial deployment and custom volume pricing.

Key Capabilities

• Identity preservation across pose, style, and lighting
• Photorealistic SDXL-based portrait generation
• Specialized face embedding for character consistency
• Self-hosted deployment for data sovereignty
• Monthly per-instance billing — economical at scale
• Down to ~$0.001 per generation at volume

Typical Use Cases

• Personalized marketing imagery with brand spokesperson
• Character-driven content series (comics, fiction)
• Virtual try-on for fashion and accessories
• Avatar generation for gaming and metaverse
• Photo personalization pipelines (gifts, social apps)

Pricing

Face ID is a self-hosted deployment billed monthly per service instance. Per-generation cost drops to approximately $0.001 at scale — roughly 90% cheaper than equivalent retail aggregator pricing. Contact sales@tensorslab.com for a trial deployment and custom volume quote.