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Image ModelOpen Source

Stable Diffusion XL Base 1.0 VRAM Requirements

Developed by Stability AI

Determine the local VRAM and system RAM requirements to run the Stable Diffusion XL Base 1.0 image generation model. Calculate components footprint, check VRAM margins, and optimize configurations for local generation speed.

Hardware Configuration

Adjust settings to check compatibility with your system in real time.

GB VRAM

Available: 14.50 GB

GB RAM

Available: 29.00 GB

CPU Offloading
Compatibility Verdict
Fits in GPU VRAM

This model's configuration fits fully in your VRAM. You will experience peak speed and performance.

Requires 9.45 GB total memory (weights: 6.94 GB, overhead: 2.51 GB).

Memory Margin+6.55 GB

Stable Diffusion XL Base 1.0 Precision Variants

Stable Diffusion XL Base 1.0 Component VRAM Breakdown

unet5.14 GB
text encoder0.25 GB
text encoder_21.39 GB
vae0.17 GB
Activation Overhead1.51 GB
Hardware Overhead1.00 GB
Total Active VRAM Required9.45 GB

How to Setup and Run Stable Diffusion XL Base 1.0 Locally

1

Download Weights from Hugging Face

Open-source image model weights are hosted on Hugging Face. You will need to download the model files (safetensors or GGUF variants) and place them in your UI's model folder.

2

Setup inside ComfyUI or WebUI

Most image models require a generation framework:

  • ComfyUI (Recommended): Put the UNet/Transformer weight files inside `ComfyUI/models/checkpoints/` or `ComfyUI/models/unet/` and the VAE inside `ComfyUI/models/vae/`.
  • Stable Diffusion WebUI (Forge/re-forge): Put checkpoint files inside `webui/models/Stable-diffusion/`.

Model Specs

  • DeveloperStability AI
  • AvailabilityLocal-Only
  • Official SiteVisit site

Key Strengths

realismprompt adherenceeditingoutput qualitycharacter consistencytext rendering

Commercial API Pricing

Commercial API costs $0.0030 per generated image.

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