SPN (CelebA HQ)
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
- Google Brain,DeepMind
- Organisation type
- Industry,Industry
- Country
- United States of America, United Kingdom of Great Britain and Northern Ireland
- Published
- 4 December 2018
- Authors
- Jacob Menick, Nal Kalchbrenner
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.
- Parameters
- 50M
- Training data
- tokens
50M (Table 4)
batch size: 256
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- Google TPU v3
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
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
- Last updated
- 11 February 2026
What the numbers mean
About this model
SPN (CelebA HQ) was published by Google Brain,DeepMind, in United States of America, in December 2018. The organisation is categorised as industry,Industry.
It works in Image generation, and is recorded as doing image generation.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
SPN (CelebA HQ) — common questions
Is SPN (CelebA HQ) open source?
No. SPN (CelebA HQ) has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SPN (CelebA HQ) have?
SPN (CelebA HQ) has 50M parameters. 50M (Table 4). That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created SPN (CelebA HQ)?
SPN (CelebA HQ) was published by Google Brain,DeepMind, based in United States of America, categorised as industry,Industry.
When was SPN (CelebA HQ) released?
SPN (CelebA HQ) was published in December 2018. 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 SPN (CelebA HQ) used for?
SPN (CelebA HQ) works in Image generation, and is recorded as handling image generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run SPN (CelebA HQ)?
None. SPN (CelebA HQ) 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.
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.