amused.md

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# aMUSEd

Amused is a lightweight text to image model based off of the [muse](https://arxiv.org/pdf/2301.00704.pdf) architecture. Amused is particularly useful in applications that require a lightweight and fast model such as generating many images quickly at once.

Amused is a vqvae token based transformer that can generate an image in fewer forward passes than many diffusion models. In contrast with muse, it uses the smaller text encoder CLIP-L/14 instead of t5-xxl. Due to its small parameter count and few forward pass generation process, amused can generate many images quickly. This benefit is seen particularly at larger batch sizes. 

| Model | Params |
|-------|--------|
| [amused-256](https://huggingface.co/huggingface/amused-256) | 603M |
| [amused-512](https://huggingface.co/huggingface/amused-512) | 608M |

## AmusedPipeline

[[autodoc]] AmusedPipeline
	- __call__
	- all
	- enable_xformers_memory_efficient_attention
	- disable_xformers_memory_efficient_attention