Linum vs Krea 3
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 Krea 3
| Detail | 
Linum | 
Krea 3 |
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| What it does | Generative video models for animation
| AI Image Editor That Keeps Your Style
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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
| Paid
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| Pricing | Not given
| Monthly: Starter $149/yr (1,000 Credits monthly), Creator $299/yr (3,500 Credits monthly), Pro Credits $799/yr (10,000 Credits monthly). Annual plans billed annually. One-time Credits also available. Black Friday: 40% off yearly plans. Standard generation: 20 Credits per image.
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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
| - Generate images from text prompts
- Edit existing images with text instructions
- Convert images to short videos
- Multiple resolution options (1K, 2K, 4K)
- Guide visual style with reference images
- Watermark-free downloads
- Use your own reference images
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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
| - Keeps your chosen style locked in while making changes
- Works with existing images or text prompts
- One account and one Credit balance for all models
- Generates and edits in a single platform
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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 | 13 ● no change since last check |
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| Trust Flow (Majestic) | 5 | 3 |
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| Citation Flow (Majestic) | 32 | 25 |
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| Referring domains (Majestic) | 397 | 34 |
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3 details filled in for both companies.
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