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Face Shape Haircut AI vs Linum

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Face Shape Haircut AI compared with Linum
DetailFace Shape Haircut AI logo Face Shape Haircut AILinum logo Linum
What it doesUpload a selfie, get your face shape measured free, and see the haircuts that suit it on your own photo Generative video models for animation
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelFreemium Not given
PricingFree face shape analysis with three haircut previews. Paid plans: Basic $9.99 (6 haircuts), Plus $19.99 (12 haircuts, 5 custom cut tries), Pro $29.99 (12 haircuts, 15 custom cut tries, 4 hair colors, 4 beard or bang styles). All paid plans include barber cards for each cut and results kept for one y Not given
Key features
  • 478-point face mapping to determine face shape
  • Seven face shape classifications: oval, oblong, round, square, heart, diamond and triangle
  • AI haircut preview rendered on your own photo
  • Keeps your hair color and hairline in previews
  • One-page barber card PDF for every cut
  • Side-by-side haircut comparison view
  • Custom haircut naming feature in Plus and Pro plans
  • Hair color preview options in Pro plan
  • Beard and bang style variations in Pro plan
  • 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
  • Free face shape analysis with no sign-up required
  • Photos never used to train AI models or shared
  • Real measurements with numbers shown to user
  • Barber card readable in 30 seconds for quick reference
  • Pay once, no subscription required
  • 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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)1 +1 (up) since last check44 +1 (up) since last check
Trust Flow (Majestic)15
Citation Flow (Majestic)1632
Referring domains (Majestic)2397

4 details filled in for both companies.

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