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(10 2022 ). https:\/\/doi.org\/10.48550\/arxiv.2210.08402 10.48550\/arxiv.2210.08402 Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev. 2022. LAION-5B: An open large-scale dataset for training next generation image-text models. (10 2022). https:\/\/doi.org\/10.48550\/arxiv.2210.08402"},{"key":"e_1_3_2_1_48_1","unstructured":"Ali Shutler. 2022. Artists protest use of AI-generated artwork on portfolio site Artstation. https:\/\/www.nme.com\/news\/gaming-news\/artists-protest-use-of-ai-generated-artwork-on-portfolio-site-artstation-3366778  Ali Shutler. 2022. 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The work of art in the age of artificial intelligence: What artists can teach us about the ethics of data practice. Surveillance and Society 17, 3-4 (2019), 442\u2013455. https:\/\/doi.org\/10.24908\/ss.v17i3\/4.10821","journal-title":"Surveillance and Society"},{"key":"e_1_3_2_1_53_1","unstructured":"Xander Streenbrugge. 2022. Xander Steenbrugge on Twitter: \"One annoying thing about Generative AI right now is that new models are constantly emerging and each one requires you to \"relearn how to prompt\" it. Prompts that looked amazing in SD v1.5 don\u2019t in v2.0. This constant relearning feels like a struggle we can prob improve on\" \/ Twitter. https:\/\/twitter.com\/xsteenbrugge\/status\/1595780305981689862  Xander Streenbrugge. 2022. Xander Steenbrugge on Twitter: \"One annoying thing about Generative AI right now is that new models are constantly emerging and each one requires you to \"relearn how to prompt\" it. Prompts that looked amazing in SD v1.5 don\u2019t in v2.0. This constant relearning feels like a struggle we can prob improve on\" \/ Twitter. https:\/\/twitter.com\/xsteenbrugge\/status\/1595780305981689862"},{"key":"e_1_3_2_1_54_1","unstructured":"Succintly AI. 2022. succinctly\/text2image-prompt-generator \u00b7 Hugging Face. https:\/\/huggingface.co\/succinctly\/text2image-prompt-generator  Succintly AI. 2022. succinctly\/text2image-prompt-generator \u00b7 Hugging Face. https:\/\/huggingface.co\/succinctly\/text2image-prompt-generator"},{"key":"e_1_3_2_1_55_1","unstructured":"Chris Vallance. 2022. \"Art is dead Dude\" - the rise of the AI artists stirs debate - BBC News. https:\/\/www.bbc.com\/news\/technology-62788725  Chris Vallance. 2022. \"Art is dead Dude\" - the rise of the AI artists stirs debate - BBC News. https:\/\/www.bbc.com\/news\/technology-62788725"},{"key":"e_1_3_2_1_56_1","volume-title":"Towards real-world blind face restoration with generative facial prior. openaccess.thecvf.com","author":"Wang Xintao","year":"2021","unstructured":"Xintao Wang , Yu Li , Honglun Zhang , and Ying Shan . 2021. Towards real-world blind face restoration with generative facial prior. openaccess.thecvf.com ( 2021 ). http:\/\/openaccess.thecvf.com\/content\/CVPR2021\/html\/Wang_Towards_Real-World_Blind_Face_Restoration_With_Generative_Facial_Prior_CVPR_2021_paper.html Xintao Wang, Yu Li, Honglun Zhang, and Ying Shan. 2021. Towards real-world blind face restoration with generative facial prior. openaccess.thecvf.com (2021). http:\/\/openaccess.thecvf.com\/content\/CVPR2021\/html\/Wang_Towards_Real-World_Blind_Face_Restoration_With_Generative_Facial_Prior_CVPR_2021_paper.html"},{"key":"e_1_3_2_1_57_1","volume-title":"DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. (10","author":"Wang J.","year":"2022","unstructured":"Zijie\u00a0 J. Wang , Evan Montoya , David Munechika , Haoyang Yang , Benjamin Hoover , and Duen\u00a0Horng Chau . 2022. DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. 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