探究扩散模型中的提示工程
计算机视觉与模式识别
2022-11-29 v1 人工智能
计算与语言
摘要
随着DALL-E 2、Imagen、Mid Journey和Stable Diffusion等文本到图像扩散模型的广泛使用，艺术家面临的一个挑战是选择合适的提示词以达到期望的艺术输出。我们提出了测量提示中特定词语和短语所产生影响的技术，并（在附录中）提供了关于选择提示词以产生期望效果的指导。
引用
@article{arxiv.2211.15462,
title = {Investigating Prompt Engineering in Diffusion Models},
author = {Sam Witteveen and Martin Andrews},
journal= {arXiv preprint arXiv:2211.15462},
year = {2022}
}
备注
Paper submitted for Creativity and Design workshop at NeurIPS 2022. (4 pages including references + 7 page appendix). We would like to thank Google and the ML Developer Programs Team for their assistance and compute credits used in the experiments for this paper