![]() ![]() Stable Diffusion uses a kind of diffusion model (DM), called a latent diffusion model (LDM). The model generates images by iteratively denoising random noise until a configured number of steps have been reached, guided by the CLIP text encoder pretrained on concepts along with the attention mechanism, resulting in the desired image depicting a representation of the trained concept. The denoising process used by Stable Diffusion. This marked a departure from previous proprietary text-to-image models such as DALL-E and Midjourney which were accessible only via cloud services. Stable Diffusion's 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. The model has been released by a collaboration of CompVis LMU, Runway, and Stability AI with support from EleutherAI and LAION. Stable Diffusion is a latent diffusion model, a kind of deep generative neural network developed by the CompVis group at LMU Munich and Runway. 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. ![]() Stable Diffusion is a deep learning, text-to-image model released in 2022.
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