Diffusion Model
What is Diffusion Model?
A diffusion model is an AI technique that creates images by starting with random noise and gradually refining it into a clear picture. It works by learning to reverse a process that adds noise to images, allowing it to generate new images from scratch. This matters because it powers many of today's popular AI image generators that can create realistic photos, artwork, and designs.
Technical Details
Diffusion models use a forward process that adds Gaussian noise to training data and a reverse process that learns to denoise through neural networks like U-Net architectures. They typically employ variational inference and score-based generative modeling to estimate data distributions.
Real-World Example
When you use Midjourney to generate an image from a text prompt like 'a cat wearing a spacesuit,' the system uses a diffusion model to start with random pixels and gradually refine them into the final detailed image you see.
AI Tools That Use Diffusion Model
Midjourney
AI-powered image generator creating unique visuals from text prompts via Discord.
Stable Diffusion
Open-source AI that generates custom images from text prompts with full user control.
DALL·E 3
OpenAI's advanced text-to-image generator with exceptional prompt understanding.
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