Muse Image
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
- Meta AI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 7 July 2026
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, Image-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)
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
- Introducing Muse Image: Image Generation Built for Your World
- Last updated
- 7 July 2026
What the numbers mean
Background
Muse Image was published by Meta AI, in United States of America, in July 2026. It comes out of industry.
It works in Image generation, and is recorded as doing image generation, Text-to-image, Image-to-image.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Muse Image — common questions
When was Muse Image released?
Muse Image was published in July 2026.
What is Muse Image used for?
Muse Image works in Image generation, and is recorded as handling image generation, Text-to-image, Image-to-image. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Muse Image?
None. Muse Image 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 Muse Image open source?
No. Muse Image has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Muse Image have?
No parameter count has been published for Muse Image, which is why no memory or speed figure appears on this page.
Who created Muse Image?
Muse Image was published by Meta AI, 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.