Linum vs AI Scientific Figure
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Linum compared with AI Scientific Figure
| Detail | 
Linum | 
AI Scientific Figure |
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| What it does | Generative video models for animation
| Free AI generator for publication-ready scientific figures from descriptions, sketches or abstracts
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Free: 3 free credits on sign-up. Credit packs (never expire): Starter Pack $7.90 (40 credits), Paper Pack $19.90 (120 credits), Lab Pack $49.90 (400 credits). Monthly subscriptions: Researcher $9.90/month (60 credits/month), Pro $24.90/month (200 credits/month), Lab $59.90/month (600 credits/month).
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| Key features | - 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
| - Convert text descriptions into scientific figures
- Upload hand sketches or notebook photos to refine into clean diagrams
- Multiple figure types: mechanisms, graphical abstracts, workflows, poster panels, full posters and illustrations
- Delivers 2K PNG at 300 DPI, publication-ready quality
- Extract cause, mechanism and outcome from paper abstracts
- Colorblind-safe color palettes
- Edit by changing description and regenerating
- No watermark on generated figures
- Generates figures in under two minutes
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| What makes it different | - 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 figures to start with no watermark
- Supports hand sketch upload to preserve your original layout while cleaning up the drawing
- Generates from paper abstracts directly, extracting key elements automatically
- User retains full ownership with no company rights claimed over generated figures
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 44 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 3 |
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| Citation Flow (Majestic) | 32 | 15 |
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| Referring domains (Majestic) | 397 | 1 |
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3 details filled in for both companies.
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