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SD 2.1 Turbo

Parameters

860M

Modality

Image

Auxiliary Parameters

200M

Architecture

Diffusion Transformer

License

Stability AI Community License

Release Date

28 Nov 2023

API Pricing (per 1M)

Self-hosted only

Hardware Sizing

Precision

Workload Memory: 2.93 GB

INT4 · 1024x1024

DiT Backbone Weights: 0.40 GB

VAE Decode Workspace: 0.03 GB

Runtime & Graphs: 2.50 GB

Minimum Required Hardware

1x NVIDIA L4 24GB

2.9 / 21.6 GB usable

1x RTX 3060 12GB

2.9 / 10.8 GB usable

Apple M4 24GB

2.9 / 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: 1k · Text: 200M enc · Timestep (t)x 8 DiT blocksAdaLN ModulationNorm · Timestep scale/shiftJoint / Cross-Attention51 headsHead dim: 20+AdaLN ModulationNorm · Timestep scale/shiftFeed-Forward (MLP)Activation+Final Norm (AdaLN Scale)Predicted Noise / LatentsDenoised Latents to VAE

About SD 2.1 Turbo

SD 2.1 Turbo combines the lightweight 860M UNet of Stable Diffusion 2.1 with Adversarial Diffusion Distillation, supporting single-step generation on consumer hardware and embedded GPUs.

Technical Specifications

Attention

Attention Heads

51

Attention Head Dimension

20

Dimensions

Auxiliary Parameters

200M

Hidden Dimension Size

1,024

Number of Layers

8

About Stable Diffusion 2


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