Amused is a lightweight text to image model based off of the muse architecture. Amused is particularly useful in applications that require a lightweight and fast model such as generating many images quickly at once.
This model costs approximately $0.0018 to run on Replicate, or 555 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A40 GPU hardware. Predictions typically complete within 4 seconds. The predict time for this model varies significantly based on the inputs.
aMUSEd is based on Masked Image Modeling. It makes for a compelling use case for the community to explore components that are known to work in language modeling in the context of image generation.
Learn more at: https://huggingface.co/blog/amused
