Upscayl vs Illustrious XL
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Upscayl compared with Illustrious XL
| Detail | 
Upscayl | 
Illustrious XL |
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| What it does | AI-powered image upscaler that enhances low-resolution photos to 4K quality
| Open-source SDXL-based AI model for native high-resolution anime art generation
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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 | Freemium
| Open source
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| Pricing | Not given
| Free for personal and research use; prohibits closed-source proprietary monetization
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| Key features | - AI-powered detail enhancement and reconstruction
- Multiple upscaling options up to 4x resolution increase
- Professional 4K upscaling suitable for commercial use
- Portrait enhancement mode for facial features
- Supports multiple image formats including JPG, PNG, WEBP, BMP
- Batch processing up to 100 images at once
- Instant HD conversion in 15-30 seconds
- API access for batch and advanced processing
- Face restoration with CodeFormer model
- Anime and illustration upscaling with specialized models
| - 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
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| What makes it different | - Lossless AI upscaling that preserves natural textures and details without over-sharpening
- Privacy-first: all images automatically deleted after processing, never permanently stored
- Fast processing with crystal-clear results in seconds
- Transparent pricing with free tier and multiple paid plans
- Independent operation with clear disclosure of AI models used
| - 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
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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) | 45 ▼ −1 (down) since last check | 13 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 25 | 5 |
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| Citation Flow (Majestic) | 35 | 19 |
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| Referring domains (Majestic) | 348 | 45 |
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4 details filled in for both companies.
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