SD-Turbo
No estimate
No hardware requirements for this model
This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Stability AI
- Organisation type
- Industry
- Country
- United Kingdom of Great Britain and Northern Ireland
- Published
- 28 November 2023
- Authors
- Axel Sauer, Dominik Lorenz, Andreas Blattmann, Robin Rombach
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Text-to-image, Image generation
- Base model
- Stable Diffusion 2.1
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Open — downloadable
- Model access
- Open weights (non-commercial)
- Training code
- Unreleased
- Hugging Face
- stabilityai
https://huggingface.co/stabilityai/sd-turbo commercial usage requires separate license
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Adversarial Diffusion Distillation
- Last updated
- 28 November 2025
What the numbers mean
Background
SD-Turbo was published by Stability AI, in United Kingdom of Great Britain and Northern Ireland, in November 2023. industry is the category the publisher falls under.
It works in Image generation, and is recorded as doing text-to-image, Image generation.
Its starting point was Stable Diffusion 2.1 — most models at this scale are adapted from an existing base rather than built from nothing.
The weights are published, so it can be downloaded and run on your own hardware indefinitely, offline, with no account attached. It is published under the stabilityai organisation on Hugging Face.
Answers
SD-Turbo — common questions
How many parameters does SD-Turbo have?
No parameter count has been published for SD-Turbo, which is why no memory or speed figure appears on this page.
Who created SD-Turbo?
SD-Turbo was published by Stability AI, based in United Kingdom of Great Britain and Northern Ireland, categorised as industry.
When was SD-Turbo released?
SD-Turbo was published in November 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is SD-Turbo used for?
SD-Turbo works in Image generation, and is recorded as handling text-to-image, Image generation. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
Where can I download SD-Turbo?
Its weights are published under the stabilityai organisation on Hugging Face. We do not host model files — this site calculates what hardware is needed to run them.
What GPU do I need to run SD-Turbo?
We cannot say. SD-Turbo has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.
Is SD-Turbo open source?
Its weights are published, so SD-Turbo can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.