Playground v2
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
- Playground
- Organisation type
- Industry
- Country
- United States of America
- Published
- 2 December 2023
- Authors
- Daiqing Li, Aleks Kamko, Ehsan Akhgari, Ali Sabet, Linmiao Xu, Suhail Doshi
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
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
- Unreleased
- Hugging Face
- playgroundai
Playground license (1M monthly users cap) https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 234
Sources
Where this record came from and when it was last checked.
- Reference
- Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
- Last updated
- 25 May 2026
What the numbers mean
What this model is
Playground v2 was published by Playground, in United States of America, in December 2023. industry is the category the publisher falls under.
It works in Image generation, and is recorded as doing text-to-image, Image generation.
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 playgroundai organisation on Hugging Face.
Answers
Playground v2 — common questions
What is Playground v2 used for?
Playground v2 works in Image generation, and is recorded as handling text-to-image, Image generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Where can I download Playground v2?
Its weights are published under the playgroundai 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 Playground v2?
We cannot say. Playground v2 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 Playground v2 open source?
Its weights are published, so Playground v2 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 Playground v2 have?
No parameter count has been published for Playground v2, which is why no memory or speed figure appears on this page.
Who created Playground v2?
Playground v2 was published by Playground, based in United States of America, categorised as industry.
When was Playground v2 released?
Playground v2 was published in December 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.
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.