具有稳定扩散性的风格化二维码

Yesterday, I created this image using Stable Diffusion and ControlNet, and shared on Twitter and Instagram – an illustration that also functions as a scannable QR code.

昨天,我使用稳定扩散控制网创建了这张图片,并在TwitterInstagram上进行了分享--这幅插图也可以作为一个可扫描的二维码。

The process of creating it was super fun, and I’m quite satisfied with the outcome.

创造它的过程超级有趣,我对结果相当满意。

In this post, I would like to share some insights into my learning journey and the approaches I adopted to create this image. Additionally, I want to take this opportunity to credit the remarkable tools and models that made this project possible.

在这篇文章中,我想分享一下我的学习之旅的一些见解,以及我为创造这个图像所采取的方法。此外,我想借此机会赞扬使这个项目成为可能的杰出工具和模型。

Get into the Stable Diffusion #

进入稳定的扩散#

This year has witnessed an explosion of mind-boggling AI technologies, such as ChatGPT, DALL-E, Midjourney, Stable Diffusion, and many more. As a former photographer also with some interest in design and art, being able to generate images directly from imagination in minutes is undeniably tempting.

今年见证了令人匪夷所思的人工智能技术的爆发,如ChatGPTDALL-EMidjourneyStable Diffusion以及更多。作为一个对设计和艺术也有一定兴趣的前摄影家,能够在几分钟内直接从想象中生成图像,不可否认是很有诱惑力的。

So I started by trying Midjourney, it’s super easy to use, very expressive, and the quality is actually pretty good. It would honestly be my recommendation for anyone who wants to get started with generative AI art.

所以我开始尝试Midjourney,它超级容易使用,非常有表现力,而且质量实际上相当不错。老实说,它是我对任何想开始接触生成性人工智能艺术的人的推荐。

By the way, Inès has also delved into it and becomes quite good at it now, go check her work on her new instagram account @a.i.nes.

顺便说一下,Inès也深入研究了这个问题,而且现在变得相当擅长,去她的新instagram账户@a.i.nes上看看她的作品。

On my end, being a programmer with strong preferences, I would naturally seek for greater controls over the process. This brought me to the realm of Stable Diffusion. I started with this guide: Stable Diffusion LoRA Models: A Complete Guide. The benefit of being late to the party is that there are already a lot of tools and guides ready to use. Setting up the environment quite straightforward and luckily my M1 Max’s GPU is supported.

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