Linum vs PhotoRestore
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 PhotoRestore
| Detail | 
Linum | P
PhotoRestore |
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| What it does | Generative video models for animation
| Restore old photos online with AI by repairing scratches, improving faded colors, and sharpening soft faces
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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
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| Pricing | Not given
| Free: 1 credit. Plus: $69.00/year for 40 credits. Pro: $129.00/year for 160 credits. Additional credits: $1.99 per credit.
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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
| - Scratch repair
- Color revival for faded photos
- Face clarity and sharpening
- Three restored versions to compare
- 4K export capability
- Dust and minor damage removal
- Black-and-white photo restoration
- JPG and PNG format support
- Photo retention and history
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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
| - Compare three AI-restored versions before choosing which to download
- Private by default with full user control over photo retention
- Flexible credit-based pricing with no subscription required
- Preserves photo textures while removing damage
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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 | 0 |
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| Citation Flow (Majestic) | 32 | 13 |
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| Referring domains (Majestic) | 397 | 2 |
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3 details filled in for both companies.
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