Onyx.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.
Onyx.AI compared with Linum
| Detail | 
Onyx.AI | 
Linum |
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| What it does | AI influencer creation tools and automation platform for content creators
| Generative video models for animation
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| Stage | Not given
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| Founded | Not given
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| Based in | FR
| US
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| Pricing model | Freemium
| Not given
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| Pricing | Not given
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| Key features | - Niche finder that collects Instagram accounts and ranks Reels by performance
- Content finder pulling posts from over 350 websites
- Motion control in batches and face swap
- File spoofer that creates distinct copies with unique metadata and profiles
- Automatic pipeline scheduling runs on server with page closed
- Captions and video upscaling included
- ComfyUI workflows and custom nodes included with packs
- Chrome extension to send Instagram posts directly to tools
- Transparent pricing with no markup on AI generations
- Serverless GPU module for running ComfyUI workflows without local setup
| - 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 | - All tools in one website with no installation required
- Zero markup on AI generations - users billed directly by provider at their price
- Flexible module-based pricing - pay only for tools you use with automatic volume discounts
- Permanent free tools including video upscale, voice change and dataset captioning
- One-time pack purchases include lifetime course access and workflows
| - 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) | Not checked yet ● no change 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) | 0 | 32 |
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| Referring domains (Majestic) | 0 | 397 |
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4 details filled in for both companies.
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