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SDXL 1.0 Refiner

Parameters

2.31B

Modality

Image

Auxiliary Parameters

770M

Architecture

Diffusion Transformer

License

OpenRAIL-M

Release Date

26 Jul 2023

API Pricing (per 1M)

Self-hosted only

Hardware Sizing

Precision

Workload Memory: 3.62 GB

INT4 · 1024x1024

DiT Backbone Weights: 1.08 GB

VAE Decode Workspace: 0.04 GB

Runtime & Graphs: 2.50 GB

Minimum Required Hardware

1x NVIDIA L4 24GB

3.6 / 21.6 GB usable

1x RTX 3060 12GB

3.6 / 10.8 GB usable

Apple M4 24GB

3.6 / 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: 1.3k · Text: 770M enc · Timestep (t)x 8 DiT blocksAdaLN ModulationNorm · Timestep scale/shiftJoint / Cross-Attention53 headsHead dim: 24+AdaLN ModulationNorm · Timestep scale/shiftFeed-Forward (MLP)Activation+Final Norm (AdaLN Scale)Predicted Noise / LatentsDenoised Latents to VAE

About SDXL 1.0 Refiner

SDXL 1.0 Refiner is a specialized 2.3B parameter latent diffusion model engineered to denoise low-noise latents from SDXL Base, enhancing micro-textures, backgrounds, and high-frequency details.

Technical Specifications

Attention

Attention Heads

53

Attention Head Dimension

24

Dimensions

Auxiliary Parameters

770M

Hidden Dimension Size

1,280

Number of Layers

8

About Stable Diffusion XL


Other Stable Diffusion XL Models