Dataset Groups Activity Stream Face2Diffusion for Fast and Editable Face Personalization Face personalization aims to insert specific faces, taken from images, into pretrained text-to-image diffusion models. BibTex: @dataset{Kaede_Shiohara_and_Toshihiko_Yamasaki_2024, abstract = {Face personalization aims to insert specific faces, taken from images, into pretrained text-to-image diffusion models.}, author = {Kaede Shiohara and Toshihiko Yamasaki}, doi = {10.57702/nb0oejjj}, institution = {No Organization}, keyword = {'Face Personalization', 'Text-to-Image Diffusion Models'}, month = {dec}, publisher = {TIB}, title = {Face2Diffusion for Fast and Editable Face Personalization}, url = {https://service.tib.eu/ldmservice/dataset/face2diffusion-for-fast-and-editable-face-personalization}, year = {2024} }