Perfusion
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
- NVIDIA,Tel Aviv University,Bar-Ilan University
- Organisation type
- Industry,Academia,Academia
- Country
- United States of America, Israel
- Published
- 2 May 2023
- Authors
- Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon
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
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
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
- NVIDIA A100
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
- Unknown
- Citations
- 237
Sources
Where this record came from and when it was last checked.
- Reference
- Key-Locked Rank One Editing for Text-to-Image Personalization
- Last updated
- 25 May 2026
What the numbers mean
What this model is
Perfusion was published by NVIDIA,Tel Aviv University,Bar-Ilan University, in United States of America, in May 2023. industry,Academia,Academia is the category the publisher falls under.
It works in Image generation, and is recorded as doing text-to-image.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Perfusion — common questions
Is Perfusion open source?
No. Perfusion has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Perfusion have?
No parameter count has been published for Perfusion, which is why no memory or speed figure appears on this page.
Who created Perfusion?
Perfusion was published by NVIDIA,Tel Aviv University,Bar-Ilan University, based in United States of America, categorised as industry,Academia,Academia.
When was Perfusion released?
Perfusion was published in May 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.
What is Perfusion used for?
Perfusion works in Image generation, and is recorded as handling text-to-image. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Perfusion?
None. Perfusion 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.