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AI for Artists
/Post-Processing & Enhancement
/Upscaling

Upscaling

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Upscaling

AI upscaling technologies increase image resolution while intelligently enhancing details, allowing for large prints or close examination without quality loss.

  • Real-ESRGAN: General-purpose upscaler with excellent detail preservation.
  • ESRGAN: Earlier version still valuable for certain image types.
  • SwinIR: Transformer-based upscaler with superior handling of complex textures.
  • LDSR (Latent Diffusion Super Resolution): Uses diffusion models for natural detail enhancement.
  • ScuNET: Specialized in preserving sharp edges and fine structures.
  • 4x-UltraSharp: Optimized for maximum sharpness and detail recovery.
  • Waifu2x: Originally designed for anime but effective for various stylized imagery.

Different upscalers have distinct characteristics that make them suitable for particular image types. Photorealistic content often benefits from different upscalers than illustrated or painted styles. Many artists use multiple upscaling passes with different algorithms for different image elements, combining the strengths of various approaches.