CyberRealistic XL vs FigPad
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
CyberRealistic XL compared with FigPad
| Detail | 
CyberRealistic XL | 
FigPad |
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| What it does | High-fidelity photorealistic AI image generation with natural prompting
| AI scientific figure generator for researchers
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Open source
| Paid
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| Pricing | Free and open source
| Starter Pack: $12 one-time for 95 credits (approx. 47 figures); Standard Pack: $39 one-time for 350 credits (approx. 175 figures); Heavy Pack: $99 one-time for 1,050 credits (approx. 525 figures); Lab Pack: $249 one-time for 3,000 credits (approx. 1,500 figures). One generation costs 2 credits, conv
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| Key features | - High-fidelity skin and eye rendering with fine pores and light reflections
- Robust composition coherence for multi-subject scenes and action shots
- Baked-in VAE with optimized color tuning
- Simple natural language prompting without complex templates
- Compatible with ComfyUI, Automatic1111, and Forge
- Works with popular SDXL ControlNets and IP-Adapters
- Thousands of compatible LoRAs available
- Optimized CFG sensitivity for high quality at lower scales
- Natural light scattering and structural accuracy
- Experimental Catalyst branch for continuous model evolution
| - Text-to-figure generation for mechanisms, pathways, and workflows
- Sketch-to-figure conversion from hand-drawn drafts and flowcharts
- Reference-guided styling to adopt publication figure styles
- Full editing canvas for labels, colors, and layout refinement
- Layered SVG export with independently editable elements
- PPTX export for direct insertion into presentations
- PDF and Word document conversion to posters
- Publication certificate for journal submission verification
- Multiple AI image models including Nano Banana Pro
- Credit packs that never expire
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| What makes it different | - Minimal prompting complexity with natural language descriptions instead of complex embeddings
- Eliminates artificial AI textures and generic rendering artifacts
- Open-source with commercial use permissions
- Seamless integration into existing AI image generation workflows
- Continuously refined through community feedback and experimental development
| - Layered SVG output keeps text, arrows, and shapes separately editable unlike traced spline groups
- Publication rights included on all plans with verifiable certificates
- Significantly lower cost per figure than FigureLabs
- AI-native workflow generates figures in seconds versus manual assembly
- User content not used to train AI models with encrypted storage
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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) | 10 ▼ −1 (down) since last check | 22 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 5 | 6 |
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| Citation Flow (Majestic) | 18 | 27 |
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| Referring domains (Majestic) | 40 | 42 |
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5 details filled in for both companies.
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