フレッシュ スペース & テクノロジー NEWS📢
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Stable unCLIP unCLIP is the approach behind OpenAI’s DALL·E 2, trained to invert CLIP image embeddings. We finetuned SD 2.1 to accept a CLIP ViT-L/14 image embedding in addition to the text encodings. This means that the model can be used to produce image variations, but can also be combined with a text-to-image embedding prior…
A.I. Runner is an early access program which allows you to run standard Stable Diffusion models or tap into the vast collection of free community models to create new art concepts. No web server to run, additional requirements to install* or technical knowledge required. Features Easy setup – download and run. No need to install…
This project brings stable diffusion models to web browsers. Everything runs inside the browser with no server support. Please check out our GitHub repo to see how we did it. There is also a demo which you can try out. We have been seeing amazing progress through AI models recently. Thanks to the open-source effort,…
Glidesort is a novel stable sorting algorithm that combines the best-case behavior of Timsort-style merge sorts for pre-sorted data with the best-case behavior of pattern-defeating quicksort for data with many duplicates. It is a comparison-based sort supporting arbitrary comparison operators, and while exceptional on data with patterns it is also very fast for random data.…
by Grigory Sizov, Michael Gschwind, Hamid Shojanazeri, Driss Guessous, Daniel Haziza, Christian Puhrsch TL;DR: PyTorch 2.0 nightly offers out-of-the-box performance improvement for Stable Diffusion 2.1 by using the new torch.compile() compiler and optimized implementations of Multihead Attention integrated with PyTorch 2. Introduction Stable Diffusion (SD) is a great example of Generative AI, producing high quality…
