AI/EXPLORER
ToolsCategoriesSitesLLMsCompareAI QuizAlternativesPremium
—AI Tools
—Sites & Blogs
—LLMs & Models
—Categories
AI Explorer

Find and compare the best artificial intelligence tools for your projects.

Made within France

Explore

  • ›All tools
  • ›Sites & Blogs
  • ›LLMs & Models
  • ›Compare
  • ›Chatbots
  • ›AI Images
  • ›Code & Dev

Company

  • ›Premium
  • ›About
  • ›Contact
  • ›Blog

Legal

  • ›Legal notice
  • ›Privacy
  • ›Terms

© 2026 AI Explorer·All rights reserved.

HomeLLMsSDXL models GGUF

SDXL models GGUF

by hum-ma

Open source · 4k downloads · 21 likes

1.7
(21 reviews)ImageAPI & Local
About

This SDXL GGUF model provides quantized versions of the SDXL models optimized for use with custom ComfyUI nodes, enabling lighter and more efficient image generation. It delivers high-quality image creation capabilities, including artistic styles, illustrations, or realistic renders, while reducing resource requirements through quantization. The models are available in multiple formats (such as Q4_0 or Q5_K_M) to balance performance and fidelity compared to the original unquantized versions. A key feature is the integration of an enhanced VAE (xlVAEC_c91), which improves detail, contrast, and color consistency. These models are particularly well-suited for users looking to run SDXL on less powerful setups or for projects requiring memory optimization.

Documentation

A small selection of quantized SDXL models in GGUF format, to be used with the custom ComfyUI nodes from https://github.com/city96/ComfyUI-GGUF

ModelHugging FaceCivitAI
CyberRealistic XL v4hf linkcivit link
Juggernaut v11hf linkcivit link
RealVisXL 4.0hf linkcivit link
RealVisXL 5.0hf linkcivit link
SDXL 1.0hf link
ZavyChroma 5.0hf linkcivit link
ZavyChroma 10.0hf linkcivit link

These are made with llama-quantize from llama.cpp b3600 patched with https://github.com/city96/ComfyUI-GGUF/blob/main/tools/lcpp.patch

A couple of models are quantized with llama.cpp b3962 patched with lcpp_sd3.patch instead, which may give slightly different results than the default b3600-quantized ggufs but not necessarily better. These are marked in the filenames; most users won't need these.

It seems that Q4_0 often gives good results for SDXL models, usually coherent but not always consistent with ones from an unquantized model. Adding Q5_K_M because it sometimes gives results clearly closer to the original F16 than Q4.

Repo includes basic clip-l and clip-g, and also an improved SDXL VAE called xlVAEC_c91, found here: https://civitai.com/models/152040?modelVersionId=360299 which can be recommended as it seems to give better colors, contrast and details compared to base.

If model creators or others wish to have any GGUF files added or removed, I will consider such requests when I see them.


There are also quantized models uploaded by another user at https://huggingface.co/Old-Fisherman/SDXL_Finetune_GGUF_Files

Capabilities & Tags
diffusersgguftext-to-image
Links & Resources
Specifications
CategoryImage
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Rating
1.7

Try SDXL models GGUF

Access the model directly