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Stable Diffusion is a deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt.It was developed by the start-up Stability AI in collaboration with a number of academic researchers and non-profit organizations.

Stable Diffusion is a latent diffusion model, a kind of deep generative neural network. Its code and model weights have been released publicly, and it can run on most consumer hardware equipped with a modest GPU with at least 8 GB VRAM. This marked a departure from previous proprietary text-to-image models such as DALL-E and Midjourney which were accessible only via cloud services.

LLaMA(Large Language Model Meta AI) is alarge language model(LLM) released byMeta AIin February 2023. A variety of model sizes were trained ranging from 7 billion to 65 billion parameters. LLaMA's developers reported that the 13 billion parameter model's performance on mostNLPbenchmarks exceeded that of the much largerGPT-3(with 175 billion parameters) and that the largest model was competitive with state of the art models such as PaLM andChinchilla.Whereas the most powerful LLMs have generally been accessible only through limitedAPIs(if at all), Meta released LLaMA's model weights to the research community under a noncommercial license.Within a week of LLaMA's release, its weights wereleakedto the public on 4chan viaBitTorrent.