LOOKSY vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
LOOKSY compared with Linum
| Detail | L
LOOKSY | 
Linum |
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| What it does | AI Virtual Try-On for Online Fashion Stores
| Generative video models for animation
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| Stage | Growing
| Not given
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| Founded | Not given
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| Based in | AE
| US
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| Pricing model | Paid
| Not given
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| Pricing | Not given
| Not given
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| Key features | - Virtual try-on widget for clothing, eyewear, jewelry, and bags
- Size recommendations with AI analysis of shopper proportions
- Look Completion with smart product recommendations
- Real-time analytics and budget dashboard
- No-code customization through admin panel
- One-day integration with done-for-you setup
- Photo animation technology
- Multi-platform support including Shopify, WooCommerce, Magento, and custom websites
| - 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
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| What makes it different | - Increases conversion by up to 21% and average order value by 17%
- Reduces returns by up to 10% through smart sizing
- No developer or technical work required from client's IT team
- Works across multiple product categories without AR app requirement
| - 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
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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) | 33 ▼ −1 (down) since last check | 44 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 25 | 5 |
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| Citation Flow (Majestic) | 26 | 32 |
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| Referring domains (Majestic) | 83 | 397 |
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4 details filled in for both companies.
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