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Image 2.5 vs Linum

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

Image 2.5 compared with Linum
DetailImage 2.5 logo Image 2.5Linum logo Linum
What it doesFree AI Image Generator and Editor powered by GPT Image 2.5 Generative video models for animation
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelFreemium Not given
PricingFree tier with 100 credits on sign-up. Monthly plans: Starter $14.99/month (350 credits), Pro $39.99/month (1,600 credits), Premium $119/month (5,500 credits). Annual plans available with 50% savings. One-time credit packs available. Starter plan includes 100 credits ≈ $4.28, Pro plan includes 100 c Not given
Key features
  • Two generation models: Sunburst for precision and Flare for speed
  • Generate and edit images with text prompts and visual references
  • Support for custom image sizes up to 4K
  • Six quality modes: low, medium, high, xhigh, max, and auto
  • Multiple output formats: PNG, JPEG, WebP with transparent backgrounds
  • Multi-turn iteration workflow for refining images
  • Reference images for consistent character and product details
  • Mask-based targeted editing for isolated changes
  • Partial-image streaming for progress previews
  • Commercial license included in Pro and Premium plans
  • 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
  • Focused browser-based workflow designed specifically for visual production tasks
  • Clear visibility of inputs, output settings, and credit costs before generation
  • Iteration-first workflow with prompts, references, and results kept close together
  • 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)20 no change since last check44 +1 (up) since last check
Trust Flow (Majestic)75
Citation Flow (Majestic)3132
Referring domains (Majestic)103397

4 details filled in for both companies.

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