RealVisXL

Photorealistic SDXL fine-tune for generating realistic images.

Open SourceSelf HostedOffline CapableGPU Required (6GB+ VRAM)
0.0 (0)

About

A community fine-tune of Stable Diffusion XL by SG161222, RealVisXL specializes in photorealistic text-to-image generation, with particular attention to convincing skin, faces, and lighting. The model is distributed as safetensors on Hugging Face and Civitai in standard and turbo variants, and V4.0 documentation recommends 25 or more sampling steps with the DPM++ 2M Karras sampler plus a negative prompt targeting facial asymmetry artifacts. The author notes training is ongoing, so some outputs can still show artifacts, and outputs are not filtered for safe-for-work use, which deployments need to account for. It runs anywhere SDXL runs, including Diffusers, AUTOMATIC1111-style web UIs, and apps like Draw Things and DiffusionBee, and has spawned dozens of adapters and derivative fine-tunes. Released under a CreativeML Open RAIL++ license, it is a popular checkpoint among Stable Diffusion hobbyists and professionals producing realistic imagery.

Should you use RealVisXL?

Pick it when

Pick RealVisXL when you want photoreal people with convincing skin, faces, and lighting from any SDXL tool on a 6 GB card, and you are willing to follow its recommended sampler settings and negative prompt.

Look elsewhere when

Skip it for public-facing apps without your own safety filter, since outputs are not filtered for safe-for-work use, and note the author warns of artifacts from ongoing training. Juggernaut XL is the more settled photoreal default.

Alternatives to RealVisXL

  • Juggernaut XL

    Same photoreal SDXL niche, preinstalled in ComfyUI, Forge, Fooocus, and InvokeAI, with v9 a refined release rather than a model still in training.

  • FLUX.1

    Newer architecture with official structural and editing editions, but it needs about 12 GB of VRAM and the dev weights are non-commercial.

  • Z-Image

    Apache-2.0 6B model whose authors claim photorealism on par with much larger models, plus text rendering, but it needs 16 GB.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
CreativeML Open RAIL-M
Minimum VRAM
6 GB
Added
Apr 3, 2026

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