CLIP
CLIP (Contrastive Language-Image Pretraining) is a neural network released by OpenAI in 2021 that learns to connect images and natural-language text by training on hundreds of millions of image-caption pairs, enabling it to judge how well an arbitrary image matches an arbitrary text description without task-specific…
14 resources across 1 library
Glossary Terms(14)
Stable Diffusion XL
Stable Diffusion XL (SDXL) is a text-to-image diffusion model released by Stability AI in 2023, a larger and higher-fidelity successor to the original Stable D…
FLUX.1
FLUX.1 is a family of text-to-image diffusion transformer models released in 2024 by Black Forest Labs — a company founded by former Stability AI researchers w…
Parti
Parti (Pathways Autoregressive Text-to-Image model) is a text-to-image generation model from Google Research, introduced in 2022, that treats image generation…
CLIP
CLIP (Contrastive Language-Image Pretraining) is a neural network released by OpenAI in 2021 that learns to connect images and natural-language text by trainin…
Vision Transformer (ViT)
Vision Transformer (ViT) is an image classification architecture introduced by Google Research in 2020 that applies the Transformer architecture — originally d…
Diffusion Model
A diffusion model is a class of generative machine learning model that creates new data — most commonly images — by learning to reverse a gradual noising proce…
Florence-2
Florence-2 is a lightweight vision foundation model from Microsoft that uses a unified, prompt-based sequence-to-sequence architecture to perform a wide range…
Idefics
Idefics is an open-source vision-language model family from Hugging Face that interleaves images and text as input to generate text output, built as an open re…
BLIP
BLIP (Bootstrapping Language-Image Pre-training) is a vision-language pretraining framework developed by Salesforce Research that unifies understanding and gen…
SeamlessM4T
SeamlessM4T is a multilingual, multimodal foundation model from Meta AI that performs speech-to-speech, speech-to-text, text-to-speech, and text-to-text transl…
NLLB (No Language Left Behind)
NLLB (No Language Left Behind) is an open machine translation model from Meta AI designed to provide high-quality translation across 200 languages, with a part…
DINOv2
DINOv2 is a self-supervised computer vision model from Meta AI that learns general-purpose visual features from unlabeled images, producing embeddings usable f…
CLIP (model)
CLIP (Contrastive Language-Image Pretraining) is a neural network from OpenAI that learns joint representations of images and text by training on paired image-…
ImageBind
ImageBind is a multimodal embedding model from Meta AI that learns a single joint representation space spanning six modalities — images, text, audio, depth, th…