A family of latent diffusion models used to generate images from text or image inputs.
The original implementation generates images in a compressed latent representation with text conditioning. Stable Diffusion is a model family rather than a single version; check the model card for the checkpoint and license you use.
Source: Official documentation.
The attention mechanism is an AI component that allows neural networks to selectively focus on different parts of input data.
A multimodal AI model developed by OpenAI that can represent text and images in the same vector space. Used as a prompt understanding layer in image generation tools.
Cross-attention is a specialized attention mechanism where computations are performed between two different data sequences.
Machine learning using neural networks with multiple hidden layers to learn representations.
A deep learning model that generates images by gradually denoising. It starts from random noise and step by step creates a meaningful image.
The process of converting text, images, or other data types into dense, fixed-size numerical vectors. Used for semantic similarity calculation and model input representation.