Skip to content
DATASHEET // SDXL

Stable Diffusion XL

The workhorse open-weight image model.

OPEN SOURCE6–12 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPIPlugin

Requires: ComfyUI, AUTOMATIC1111 (stable-diffusion-webui), InvokeAI, Stable Diffusion WebUI Forge

Visit Stable Diffusion XLUPDATED 2026-04-10 · DIRECT LINK
huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
Stable Diffusion XL — preview image

HARDWARE REQUIREMENTS //

Runs locally · Mid GPU (12 GB)

6–12 GB VRAM
Min VRAM
6 GB
Rec. VRAM
12 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
15 GB
GPU class
Mid GPU
CUDAApple Silicon ✓GPU RequiredQuant: FP16, FP8

Comfortable on RTX 3060 12GB or M-series 16 GB Macs.

[ EDITORIAL PICK ]

Why we recommend Stable Diffusion XL

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Stable Diffusion XL the company changes direction.

  • Runs on 6 GB

    Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Top-tier pick

    Power-user score 89/100 — consistently rated highly by people who use this every day, not just benchmark chasers.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

VRAM guide

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Plugin

    Drops into comfyui — assuming the host is already set up.

  • Hardware comfort
    Entry-level

    Fits on 6 GB cards — GTX 1660 / RTX 3050 territory.

  • Ecosystem
    Strong devkit

    Open-source AND ships an API — easy to integrate, possible to host yourself.

  • Verification
    Ageing

    97 days since the last catalogue refresh — flagged for re-verification.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Stable Diffusion XL

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other heavy image generation tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Stable Diffusion XL.

What is Stable Diffusion XL?

SDXL 1.0 + refiner. Still the most LoRA- and ControlNet-supported open model. Runs on 6–8 GB with optimization; 12 GB+ is comfortable. Pairs with thousands of community fine-tunes (Pony, Juggernaut, etc).

Pros & cons

✓ PROS

  • Largest ecosystem of LoRAs/ControlNets
  • Runs on modest hardware
  • Battle-tested

– CONS

  • Beaten by Flux on quality
  • Hands & text are still rough without LoRAs

What's actually free?

Open weights, CreativeML license — commercial use allowed.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

FLUX.1 [dev]

12B parameter open-weight diffusion model.

OPEN SOURCE8–24 GB VRAM
VRAM fit8–24 GB