DALL·E 2 leverages transformer-based models, such as the GPT-3 architecture, to process textual input and generate images accordingly. Through unsupervised learning, it learns to understand the relationships between various elements in an image and can create new compositions based on specific prompts.
Some key features of how DALL·E 2 handles image generation include:
- Interpreting textual prompts to determine the desired composition or visual arrangement
- Generating images pixel by pixel based on the input text
- Creating diverse and realistic visuals that reflect the textual description
Overall, DALL·E 2 showcases the capabilities of transformer-based models in image generation, offering a new perspective on creating visual content through natural language input.