2. How Text Becomes an Image: The Role of Diffusion Models
One of the most advanced techniques for AI image generation is the diffusion model.
This method starts with a random noise pattern and gradually refines it into a structured image based on user prompts.
The process follows these steps:
- Noise Injection: The AI begins with a completely random noise pattern, similar to static on a TV screen.
- Step-by-Step Refinement: Over multiple iterations, the AI modifies the noise, forming recognizable shapes and textures.
- Prompt Alignment: The AI ensures the generated image matches the text description given by the user.
- Final Enhancements: Adjustments are made to improve sharpness, color balance, and finer details.
Diffusion models power tools like Stable Diffusion, Midjourney, and DALL·E, making them capable of generating highly detailed and visually appealing images.
