AI Generation Glossary

AI-generated singing voices that can perform any lyrics in various styles.

The proportional relationship between an image's width and height.

Controls how strictly the AI follows the prompt vs. being creative.

A saved state of an AI model at a specific point during training.

A subset of machine learning using multi-layered neural networks to learn from data.

Controls how much the AI changes an input image during image-to-image generation.

AI that generates content by gradually removing noise from random data.

Adapting a pre-trained AI model to a specific task by training it on specialized data.

AI technique to generate intermediate frames between existing ones for smoother video.

The number of individual frames displayed per second in a video.

AI architecture using two competing networks — a generator and a discriminator.

AI systems that create new content like images, videos, music, and text.

AI-powered enhancement that increases image resolution while preserving or adding detail.

AI that transforms or edits an existing image based on text instructions.

AI that animates a static image into a dynamic video with realistic motion.

The process of using a trained AI model to generate new content from inputs.

AI technique to fill in or replace selected areas of an image seamlessly.

A compressed mathematical representation where AI models understand and generate content.

Lightweight technique to customize AI models for specific styles or subjects.

AI systems that learn and improve from data without being explicitly programmed.

AI analysis of movement patterns in video for consistent object/camera control.

AI that can understand and generate content across multiple formats (text, image, video, audio).

Text telling the AI what NOT to include in the generated output.

Computing systems inspired by the human brain that process information in interconnected layers.

AI technique to extend an image beyond its original boundaries.

The internal variables of an AI model that determine its behavior and capabilities.

The text instruction given to an AI model to guide what it generates.

The skill of crafting effective AI prompts to achieve desired outputs.

The algorithm used to remove noise during the image generation process.

A number that determines the initial random noise pattern for reproducible generation.

AI technique to isolate individual instruments or vocals from a mixed audio track.

The number of iterations the AI uses to refine the generated output.

Applying the artistic style of one image to the content of another.

AI technology that converts text descriptions into visual images.

AI that composes original music from text descriptions of style, mood, and instruments.

AI technology that generates video content directly from text descriptions.

The smallest unit of text processed by an AI model.

The large datasets used to teach AI models to recognize patterns and generate content.

Neural network architecture that processes sequences using attention mechanisms.

Neural network that compresses and reconstructs data, used in image generation pipelines.