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Black Headshots vs Linum

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

Black Headshots compared with Linum
DetailBlack Headshots logo Black HeadshotsLinum logo Linum
What it doesAI-powered professional headshots designed specifically for Black skin tones and features Generative video models for animation
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelPaid Not given
PricingStarter: $19 for 10 high-quality headshots with 1-hour processing time and 1 style (LinkedIn). Pro: $39 for 50 high-quality headshots with 30 mins processing time and 3 styles (LinkedIn, Bold, Casual Chic). Premium: $69 for 100 high-quality headshots with 30 mins processing time and 6 styles (Linked Not given
Key features
  • Generate professional headshots from selfies in 30 minutes
  • Multiple professional styles including LinkedIn, Bold, Casual Chic, Dating, Pensive, and Dashiki
  • Upload 8-14 selfies for AI training
  • No watermarks on headshots
  • Full commercial usage rights included
  • 24-hour money-back guarantee
  • AI specifically trained for Black skin tones and features
  • Delete option to permanently remove data from servers
  • 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
  • Specifically designed for accurate representation of Black skin tones and features
  • Trained on diverse datasets with special attention to lighting and natural features
  • Wider range of professional styles relevant to various career paths
  • Professional results in 30 minutes instead of days
  • Requires fewer photos than competitors for training
  • 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)9 +1 (up) since last check44 +1 (up) since last check
Trust Flow (Majestic)205
Citation Flow (Majestic)3332
Referring domains (Majestic)222397

4 details filled in for both companies.

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