Smew AI vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Smew AI compared with Linum
| Detail | 
Smew AI | 
Linum |
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| What it does | Create viral AI videos for TikTok, Reels and Shorts from your photo
| Generative video models for animation
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | HK
| US
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| Pricing model | Freemium
| Not given
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| Pricing | Not given
| Not given
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| Key features | - 273 trending templates for viral videos
- Vertical 9:16 video format for TikTok, Reels and Shorts
- No watermark on downloads
- Custom video creation from your own prompt
- Failed videos automatically refund credits
- 19 image and video AI models to choose from
- Secure payment with Stripe, Apple Pay and Google Pay
| - 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 | - No prompt writing required for trend videos
- Videos ready to post without editing
- Based on real viral TikTok and Reels trends
- Credits never expire with one-time purchases
| - 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
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 29 ▲ +1 (up) since last check | 44 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 0 | 5 |
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| Citation Flow (Majestic) | 21 | 32 |
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| Referring domains (Majestic) | 11 | 397 |
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4 details filled in for both companies.
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