Files read on Hugging Face: 2026-10-24

SDXL Base 1.0 GGUF files and Mac RAM

SDXL Base 1.0 text-to-image model with a UNet denoiser and two CLIP text encoders. The refiner is an optional second stage; the base model works standalone.

Stability AI · Updated 2026-10-24
Answer

No published Mac run with a GGUF build yet. The smallest complete GGUF download is 2.80 GB; a download that fits in memory does not prove the model runs.

Smallest Mac with a published run
none yetunknown below
Smallest complete download
2.80 GBQ4_K GGUF
Files read
2026-10-24Hugging Face

CreativeML Open RAIL++-M License. Commercial use: allowed. Excluded territories: none listed. Broad use grant with the use-based restrictions in Attachment A.

This is SDXL Base 1.0. The SDXL Refiner 1.0 is an optional second-stage model and is not included in these sizes.

Table 1

Which exact GGUF files make a complete build?

Only builds with every required component and an exact probed file size are shown.

Q4_K GGUF

gguf · Q4_K · 2.80 GB complete

Mac routes: stable-diffusion.cpp

Exact component files for Q4_K GGUF
FileComponentRequiredDownloadSource
sd_xl_base_1.0_0_Q4_K.ggufkostakoff/stable-diffusion-xl-base-1.0-GGUFSDXL UNetditYes2.80 GBHugging FaceRead 2026-10-24

Build sources: SDXL GGUF card.

Q8_0 GGUF

gguf · Q8_0 · 4.18 GB complete

Mac routes: stable-diffusion.cpp

Exact component files for Q8_0 GGUF
FileComponentRequiredDownloadSource
sd_xl_base_1.0_0_Q8_0.ggufkostakoff/stable-diffusion-xl-base-1.0-GGUFSDXL UNetditYes4.18 GBHugging FaceRead 2026-10-24

Build sources: SDXL GGUF card.

Table 2

Does it fit your Mac's RAM?

Published names the exact measured machine. est. is a memory calculation. unknown means the run verdict is not established, not that the model fails.

Run verdicts by Mac memory tier
Mac RAMComplete buildDownloadRun verdictBasis
8 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown
16 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown
24 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown
32 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown
48 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown
64 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown
96 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown
128 GBQ4_K GGUFQ4_K · stable-diffusion.cpp2.80 GBunknownunknown

How does it rank in blind votes?

No independent score yet.

Which Mac software routes are listed?

  • stable-diffusion.cpp

    Official

    Formats: gguf, safetensors. Memory policy: component stages stay resident.

    C/C++ runner with Metal on Mac and CUDA on NVIDIA. It reads GGUF and safetensors, and its docs keep a page per model family. Resident size is the sum of the weights, an upper bound.

    Sources: stable-diffusion.cpp README, backends

What does the official configuration say?

"No numeric RAM or VRAM minimum is given. The card suggests CPU offloading when limited by GPU VRAM."

Source: SDXL Base model card · Read 2026-10-24.

What known issues should you check?

  • Known issue 1

    ComfyUI documents that running the VAE in fp16 might cause black images. Individual SDXL black-image reports on Macs exist but are not general rules.

    Source: ComfyUI CLI arguments · Read 2026-10-24

Sources