# Hugging Face — Welcome aMUSEd: Efficient Text-to-Image Generation

- Company: Hugging Face (huggingface.co)
- Announced: 2024-01-04T00:00:00+00:00
- Category: new-model
- Subject: Platform
- Models affected: aMUSEd
- License: permissive license
- Source: https://huggingface.co/blog/amused
- Record: https://forck.live/items/1962-welcome-amused-efficient-text-to-image-generation

Hugging Face introduces aMUSEd, an efficient non-diffusion text-to-image model based on Masked Image Modeling, as an open reproduction of Google's MUSE. It is released as a research preview with a permissive license, integrated into the diffusers library, and features ~800M parameters with zero-shot inpainting capability.

## Evidence

Verbatim from https://huggingface.co/blog/amused:

> We’re excited to present an efficient non-diffusion text-to-image model named aMUSEd. It’s called so because it’s a open reproduction of Google's MUSE. aMUSEd’s generation quality is not the best and we’re releasing a research preview with a permissive license.

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Record: https://forck.live/items/1962-welcome-amused-efficient-text-to-image-generation
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