In the context of text-to-image models like Stable Diffusion, the term “vector” can refer to several concepts:
- Word Embeddings: Words and phrases are converted into numerical vectors through embedding techniques. These vectors capture semantic relationships between words, enabling the model to understand and generate images based on textual prompts.
- Vector Illustrations: In image generation, “vector” often pertains to vector-based art styles. Incorporating “vector” into a prompt can guide the model to produce images with clean lines and scalable graphics, characteristic of vector illustrations. For example, a prompt like “A vector illustration of an astronaut in space” directs the model to generate images resembling vector art.
- Vector Graphics: Related to vector illustrations, this refers to images created using vector graphics software. Including “vector graphics” in a prompt can instruct the model to generate images with the attributes of vector-based designs.