Glow (Celeba HQ)
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
- OpenAI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 10 July 2018
- Authors
- Diederik P. Kingma, Prafulla Dhariwal
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
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 (unrestricted)
- Training code
- Open source
MIT license for training code and weights: https://github.com/openai/glow
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
- Glow: Generative Flow with Invertible 1x1 Convolutions
- Last updated
- 11 February 2026
What the numbers mean
About this model
Glow (Celeba HQ) was published by OpenAI, in United States of America, in July 2018. industry is the category the publisher falls under.
It works in Image generation, and is recorded as doing image generation.
Because its weights were released, nothing about running it depends on a provider staying available — it is yours once downloaded.
Answers
Glow (Celeba HQ) — common questions
Who created Glow (Celeba HQ)?
Glow (Celeba HQ) was published by OpenAI, based in United States of America, categorised as industry.
When was Glow (Celeba HQ) released?
Glow (Celeba HQ) was published in July 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 Glow (Celeba HQ) used for?
Glow (Celeba HQ) works in Image generation, and is recorded as handling image generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Where can I download Glow (Celeba HQ)?
The weights for Glow (Celeba HQ) are published, though we do not hold a repository link for it. This site calculates hardware requirements rather than hosting model files.
What GPU do I need to run Glow (Celeba HQ)?
We cannot say. Glow (Celeba HQ) 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 Glow (Celeba HQ) open source?
Its weights are published, so Glow (Celeba HQ) 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.
How many parameters does Glow (Celeba HQ) have?
No parameter count has been published for Glow (Celeba HQ), which is why no memory or speed figure appears on this page.
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.