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New stable diffusion model (Stable Diffusion 2.0-v) at 768x768 resolution. Same number of parameters in the U-Net as 1.5, but uses OpenCLIP-ViT/H as the text encoder and is trained from scratch. SD 2.0-v is a so-called v-prediction model.
Feb 16, 2023 · To run Stable Diffusion locally on your PC, download Stable Diffusion from GitHub and the latest checkpoints from HuggingFace.co, and install them. Then run Stable Diffusion in a special python environment using Miniconda.
Feb 22, 2024 · Announcing Stable Diffusion 3 in early preview, our most capable text-to-image model with greatly improved performance in multi-subject prompts, image quality, and spelling abilities.
Stable Diffusion is a text-to-image model that generates photo-realistic images given any text input. What makes Stable Diffusion unique ? It is completely open source. The model and the code that uses the model to generate the image (also known as inference code).
Stable Diffusion is a latent diffusion model conditioned on the (non-pooled) text embeddings of a CLIP ViT-L/14 text encoder. We provide a reference script for sampling, but there also exists a diffusers integration, which we expect to see more active community development.
Feb 18, 2022 · Stable Diffusion is one the newest AI image generators and is completely open-source. Learn how to use it for image creation, upscaling, and more with our...
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.
