Consistency Model (CIFAR-10)
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
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
- OpenAI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 2 March 2023
- Authors
- Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image generation
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
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
- Consistency Models
- Last updated
- 11 February 2026
What the numbers mean
Background
Consistency Model (CIFAR-10) was published by OpenAI, in United States of America, in March 2023. It comes out of industry.
It works in Image generation, and is recorded as doing image generation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Consistency Model (CIFAR-10) — common questions
When was Consistency Model (CIFAR-10) released?
Consistency Model (CIFAR-10) was published in March 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 Consistency Model (CIFAR-10) used for?
Consistency Model (CIFAR-10) works in Image generation, and is recorded as handling 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.
What GPU do I need to run Consistency Model (CIFAR-10)?
None. Consistency Model (CIFAR-10) is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Consistency Model (CIFAR-10) open source?
The licensing for Consistency Model (CIFAR-10) was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Consistency Model (CIFAR-10) have?
No parameter count has been published for Consistency Model (CIFAR-10), which is why no memory or speed figure appears on this page.
Who created Consistency Model (CIFAR-10)?
Consistency Model (CIFAR-10) was published by OpenAI, based in United States of America, categorised as industry.
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.