IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative Models-Reference-Cited by-同舟云学术

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IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative Models

Published:2024-05-11 Issue: Volume: Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Zeng Xingchen¹^ORCID,Gao Ziyao²^ORCID,Ye Yilin³^ORCID,Zeng Wei⁴^ORCID

Affiliation:

1. Thrust of Data Science and Analytics, Hong Kong University of Science and Technology (Guangzhou), China

2. Thrust of Computational Media and Arts, Hong Kong University of Science and Technology (Guangzhou), China

3. Thrust of Computational Media and Arts, The Hong Kong University of Science and Technology (Guangzhou), China

4. Thrust of Computational Media and Arts, The Hong Kong University of Science and Technology (Guangzhou), China and Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, China

Funder

Guangzhou Basic and Applied Basic Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642165

Reference66 articles.

1. 2022. Civitai. https://civitai.com

2. 2022. Kohya’s Stable Diffusion trainers. https://github.com/bmaltais/kohya_ss

3. 2022. LibLibAI. https://www.liblibai.com/

4. 2022. Stable Diffusion Web UI. https://github.com/AUTOMATIC1111/stable-diffusion-webui

5. 2023. Adobe Firefly. https://www.adobe.com/sensei/generative-ai/firefly.html

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