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.

From the source
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.
huggingface.co

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Announced: 04 Jan 2024 00:00 UTC
Detected: 03 Aug 2026 21:12 UTC (+942d after)

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License

permissive license

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