Search results
New stable diffusion model (Stable Diffusion 2.1-v, Hugging Face) at 768x768 resolution and (Stable Diffusion 2.1-base, HuggingFace) at 512x512 resolution, both based on the same number of parameters and architecture as 2.0 and fine-tuned on 2.0, on a less restrictive NSFW filtering of the LAION-5B dataset.
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. It is considered to be a part of the ongoing artifical intelligence boom . 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 ...
Nov 24, 2022 · The Stable Diffusion 2.0 release includes robust text-to-image models trained using a brand new text encoder (OpenCLIP), developed by LAION with support from Stability AI, which greatly improves the quality of the generated images compared to earlier V1 releases.
Stable Diffusion 3, our most advanced image model yet, features the latest in text-to-image technology with greatly improved performance in multi-subject prompts, image quality, and spelling abilities. The model is available via API today and we are continuously working to improve the model in advance of its open release.
The Stable Diffusion Guide 🎨. You are viewing v0.14.0 version. A newer version v0.27.2 is available. Join the Hugging Face community. and get access to the augmented documentation experience. Collaborate on models, datasets and Spaces. Faster examples with accelerated inference. Switch between documentation themes. to get started. 500.
Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database.
Stable Diffusion is a generative artificial intelligence (generative AI) model that produces unique photorealistic images from text and image prompts. It originally launched in 2022. Besides images, you can also use the model to create videos and animations. The model is based on diffusion technology and uses latent space.
