Illustrious 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.
Illustrious XL compared with FigPad
| Detail | 
Illustrious XL | 
FigPad |
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| What it does | Open-source SDXL-based AI model for native high-resolution anime art generation
| 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 for personal and research use; prohibits closed-source proprietary monetization
| 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 | - Native 1536x1536 high-resolution generation without upscaling
- Hybrid Prompting System combining natural English and Danbooru tags
- Stable text encoder fine-tuning for superior concept understanding
- Trained on comprehensive Danbooru2023 dataset
- Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
- Superior anatomy rendering with flawless hands and character details
- V-Prediction architecture for enhanced dynamic range and contrast
- Highly flexible base canvas for LoRA training and custom checkpoints
| - 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 | - Only open-source SDXL model natively trained at 1536x1536 resolution
- Stylistically neutral untuned base canvas unlike Pony Diffusion
- Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
- Thousands of compatible community-trained LoRAs and derivatives
| - 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) | 13 ▼ −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) | 19 | 27 |
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| Referring domains (Majestic) | 45 | 42 |
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5 details filled in for both companies.
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