Firefly

Closed weights Adobe March 2023

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
Adobe
Organisation type
Industry
Country
United States of America
Published
21 March 2023

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Image generation
Task
Image generation, Text-to-image

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
Closed — provider access only
Model access
Hosted access (no API)
Training code
Unreleased

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Likely above 10²³ FLOP
Yes
Why it is tracked
Significant use

Integrated into Photoshop. Users generate >200m images within a few months of release: https://venturebeat.com/ai/adobe-stock-creators-arent-happy-with-firefly-the-companys-commercially-safe-gen-ai-tool/ As of October 2024, users have generated 13B images since March 2023. Paid users get 100 generations per month (and can continue at a slower rate after that). Assuming an average of 100 monthly generations per user, that's around 6.7M monthly average users across 19.5 months.

Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
Adobe Unveils Firefly, a Family of new Creative Generative AI
Last updated
28 November 2025

What the numbers mean

Where it came from

Firefly was published by Adobe, in United States of America, in March 2023. industry is the category the publisher falls under.

It works in Image generation, and is recorded as doing image generation, Text-to-image.

Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.

Training and provenance

The reason it appears in this catalogue at all is significant use.

Answers

Firefly — common questions

01

When was Firefly released?

Firefly 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.

02

What is Firefly used for?

Firefly works in Image generation, and is recorded as handling image generation, Text-to-image. 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.

03

What GPU do I need to run Firefly?

None. Firefly 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.

04

Is Firefly open source?

No. Firefly has not had its weights published, so it exists only as a service controlled by its owner.

05

How many parameters does Firefly have?

No parameter count has been published for Firefly, which is why no memory or speed figure appears on this page.

06

Who created Firefly?

Firefly was published by Adobe, based in United States of America, categorised as industry.

Source

Original publication

Record last updated 28 November 2025

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.