Find similar images using tags and images
Highlight objects in images using text prompts
FitDiT is a high-fidelity virtual try-on model.
Recognize micro-expressions in images
Answer queries and manipulate images using text input
Use hand gestures to type on a virtual keyboard
Search for illustrations using descriptions or images
Generate mask from image
Search for medical images using natural language queries
Apply artistic style to your photos
Detect and compare dominant colors in images
Search images by text or upload
Generate flow or disparity from two images
Danbooru2022 Embeddings Playground is an experimental tool designed to explore and find similar images using tags and image embeddings. It leverages advanced embedding technology to enable users to search for images based on semantic similarity, allowing for intuitive and powerful image discovery.
What is an embedding?
An embedding is a vector representation of an image or text that captures its semantic meaning in a high-dimensional space.
Can I use the tool without an account?
Yes, no account is required to use the Danbooru2022 Embeddings Playground.
How are similar images determined?
Similar images are determined by calculating the similarity score between the embedding of your input (tag or image) and the embeddings of images in the dataset.