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Choosing an SDXL Checkpoint

SDXL has hundreds of checkpoints. Picking the right base model matters more than stacking LoRAs. This article gives the mainstream picks for four major scenarios.

Four scenario picks

ScenarioMainstream checkpointsNotes
Realistic portraitRealVisXL, JuggernautXL, ZavyChromaXLStrong skin texture and detail
AnimeAnimagine XL, Pony Diffusion XL, ArthemyComics XLAnime-specific training
Landscape / cinematicDreamShaper XL, NightVision XL, CineNostalgia XLAtmospheric, strong color grading
Illustration / stylizedSDXL base + style LoRAsFew stylized base models; LoRA-led

Selection criteria

  • Check author update frequency — actively maintained models stay stable
  • Check license — CreativeML Open RAIL++M generally permits commercial use
  • Check sample gallery — confirm the look matches your expectation
  • Check LoRA compatibility — some bases conflict with specific LoRAs

Common stacking strategy

Professional workflow:

  • 1 base model (chosen direction)
  • 1–3 LoRAs (character + style + detail)
  • Optional 1 textual inversion for specific looks

Frequently asked questions

Can multiple checkpoints be loaded together?

Not at runtime, but model mergers can fuse two checkpoints into a new file.

Do new checkpoints still need separate refiners?

Most modern bases bake in base + refiner into one — no separate refiner needed.

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Yan · AI Prompt Workshop editorial team|Last updated on 2026-06-12。This site does not call any cloud model. Every prompt and parameter in this article was tested and refined locally by the editorial team.