/explore
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www.paepper.com | ||
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davidyat.es
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| | | | | I first wrote about Stable Diffusion last August, shortly after its initial public release, when Stability AI transformed LLM-based image generation from a black-box gimmick behind a paywall into something that could be used and built on by anyone with a Github account. | |
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jalammar.github.io
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| | | | | Translations: Chinese, Vietnamese. (V2 Nov 2022: Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the most recent AI capability blowing people's minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art. The release of Stable Diffusion is a clear milestone in this development because it made a high-performance model available to the masses (performance in terms of image quality, as well as speed and relatively low resource/memory requirements). After experimenting with AI image generation, you may start to wonder how it works. This is a gentle introduction to how Stable Diffus... | |
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magenta.withgoogle.com
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| | | | | When a painter creates a work of art, she first blends and explores color options on an artist's palette before applying them to the canvas. This process is ... | |
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replicate.com
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| | | We show you how to use Stable Diffusion 3 to get the best images, including new techniques for prompting. | ||
