Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
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Free · no card · unsubscribe anytimeOfficial Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
Attend-and-Excite has 772 stars on GitHub. It has been forked 63 times. Attend-and-Excite is written mainly in Jupyter Notebook. It has been in active development since 2023. Attend-and-Excite is available under the MIT license. Its main topics are diffusion-models, stable-diffusion, text-to-image.
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
Attend-and-Excite is an open-source project. It is released under the MIT license.
Yes. Attend-and-Excite is free and open source — you can use, modify and self-host it.
Attend-and-Excite is available under the MIT license.
Attend-and-Excite is written mainly in Jupyter Notebook.
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