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Ombak vs Linum

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

Ombak compared with Linum
DetailOmbak logo OmbakLinum logo Linum
What it doesAI image and video generator with real prompts Generative video models for animation
StageNot given Not given
FoundedNot given Not given
Based inCN US
Pricing modelPaid Not given
PricingStarter: $9.90 for 1,000 credits (about $0.0099 per credit); Pro: $19.90 for 2,200 credits (about $0.0090 per credit); Ultimate: $49.90 for 6,000 credits (about $0.0083 per credit). No auto-renewal. Prices exclude tax. Not given
Key features
  • Generate images using GPT Image 2.5, Nano Banana Pro, Seedream 5.0 Pro and other models
  • Library of over 1000 real prompt examples with completed works
  • Browse showcase across categories including commercial, brand design, portrait, illustration, creative poster, storyboard, UGC and social video
  • Save generated results to private user library
  • Credit-based pricing with flexible usage
  • AI Workbench for advanced editing
  • Reference assets for image generation
  • 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
  • Over 1037 real prompt examples from completed works across diverse creative categories
  • No subscription or auto-renewal, pay per use with one-time credit purchases
  • Access to multiple cutting-edge AI image and video generation models in one platform
  • Private library to organize and save all generated content
  • Showcase of professional examples across commercial, design, photography and creative categories
  • 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)Not checked yet no change since last check44 +1 (up) since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)932
Referring domains (Majestic)1397

4 details filled in for both companies.

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