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SDXL 1.0 Base

Parameters

2.56B

Modality

Image

Auxiliary Parameters

890M

Architecture

Diffusion Transformer

License

OpenRAIL-M

Release Date

26 Jul 2023

API Pricing (per 1M)

Self-hosted only

Hardware Sizing

Precision

Workload Memory: 3.74 GB

INT4 · 1024x1024

DiT Backbone Weights: 1.19 GB

VAE Decode Workspace: 0.05 GB

Runtime & Graphs: 2.50 GB

Minimum Required Hardware

1x NVIDIA L4 24GB

3.7 / 21.6 GB usable

1x RTX 3060 12GB

3.7 / 10.8 GB usable

Apple M4 24GB

3.7 / 18.0 GB usable

Determine requirements for your specific workload:

Open in VRAM Calculator

Architecture Diagram

Noisy Image LatentsLatent Image Space (VAE)Patch Embedding2D Latent PatchifyHidden: 2k · Text: 890M enc · Timestep (t)x 6 DiT blocksAdaLN ModulationNorm · Timestep scale/shiftJoint / Cross-Attention102 headsHead dim: 20+AdaLN ModulationNorm · Timestep scale/shiftFeed-Forward (MLP)Activation+Final Norm (AdaLN Scale)Predicted Noise / LatentsDenoised Latents to VAE

About SDXL 1.0 Base

SDXL 1.0 Base is a 2.6B parameter latent diffusion model utilizing a cross-attention UNet backbone and dual OpenCLIP encoders, optimized for native 1024x1024 synthesis and community LoRA adaptation.

Technical Specifications

Attention

Attention Heads

102

Attention Head Dimension

20

Dimensions

Auxiliary Parameters

890M

Hidden Dimension Size

2,048

Number of Layers

6

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