![]() ![]() Step away for a glass of water, and you have ~15 images to sift through when you come back. Many of the incredible examples you see online are cherry-picked, but the fact that you can fire up your desktop with a low-end RTX 3060 and crank out a new image every 13 seconds is mind-blowing. That doesn’t make it any less incredible. Boston Terrier with a mermaid tail, at the bottom of the ocean, dramatic, digital art. ![]() ![]() How do you use it?Īfter playing with SD on our home desktop and fiddling around with a few of the repos, we can confidently say that SD isn’t as good as Dall-E 2 when it comes to generating abstract concepts. The speed at which this has come into existence is dizzying. Other models are incorporated into the flow, such as image upscaling or face correction. There are plugins to Photoshop and Krita. People are training new models or fine-tuning models to generate different styles of content better. There are dozens of repos with different features, web UIs, and optimizations. This touches on the more important thing about SD. But due to its open-source nature, patches and tweaks enable it to be CPU only, AMD powered, or even Mac friendly. They recommend a 3xxx series NVIDIA GPU with at least 6GB of RAM to get decent results. Additionally, you can run Stable Diffusion (SD) on your computer rather than via the cloud, accessed by a website or API. What makes Stable Diffusion special? For starters, it is open source under the Creative ML OpenRAIL-M license, which is relatively permissive. Canvas can transform it into a beautiful landscape. Nvidia’s Canvas AI allows someone to create a crude image with various colors representing different elements, such as mountains or water. This year we have seen several image generation AIs such as Dall-e 2, Imagen, and even Craiyon. Why is it important, how do you use it, and why should you care? It is an AI model that can generate images based on a text prompt or an input image. Perhaps you’ve heard about it and some of the hubbub around it. As of writing this article, it’s less than a few weeks old. You might not have heard about Stable Diffusion.
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