Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
M. Ferrari Dacrema, P. Cremonesi, und D. Jannach. Proceedings of the 13th ACM Conference on Recommender Systems, Seite 101–109. New York, NY, USA, Association for Computing Machinery, (2019)
Q. Le, und T. Mikolov. Proceedings of the 31st International Conference on Machine Learning, Volume 32 von Proceedings of Machine Learning Research, Seite 1188--1196. Bejing, China, PMLR, (Juni 2014)
M. Ribeiro, S. Singh, und C. Guestrin. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, (August 2016)Available at https://arxiv.org/pdf/1602.04938.pdf.
D. Meier, G. Hartmann, J. Völker, J. Viefhaus, und B. Sick. Advances in Computational Methods for X-Ray Optics V, 11493, Seite 71 -- 77. International Society for Optics and Photonics, SPIE, (2020)
P. Xia, S. Wu, und B. Van Durme. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Seite 7516--7533. Association for Computational Linguistics, (November 2020)