🎨 AI Image & Video Generation
Learn AI Image & Video Generation on AI4AI — short, hands-on lessons with live AI runs, at three reading levels (beginner to expert). Free to start.
What you'll learn
- How Image Generation Works: Diffusion in Plain Terms (7 min) — ⚡ Modern image generators — Stable Diffusion, DALL·E 3, Midjourney, Flux — use a technique called **diffusion**. During…
- Writing Great Image Prompts (8 min) — A strong image prompt is a structured description, not a wish. AI image models (Midjourney, DALL·E 3, Stable Diffusion,…
- Steering the Image: Aspect Ratio, Seeds, and Reference Images (8 min) — Four controls give you repeatable, precise results in image generation rather than random lucky rolls. **Seed** is an i…
- Inpainting & Image Editing: Fix, Extend, Restyle Without Starting Over (8 min) — Inpainting, outpainting, and image-to-image editing are three core techniques that let you modify specific regions or p…
- AI Video Generation in 2026: From Text to Motion (8 min) — AI video generation in 2026 works in two main modes. In text-to-video, a language-vision model interprets a text prompt…
- Using AI Media Responsibly: Licensing, Deepfakes, Watermarks & Disclosure (8 min) — Responsible AI media creation covers four practical areas you need to understand before publishing anything. **Licensin…
Lessons
How Image Generation Works: Diffusion in Plain Terms
⚡ Modern image generators — Stable Diffusion, DALL·E 3, Midjourney, Flux — use a technique called **diffusion**. During training, the model repeatedly adds Gaussian noise to real images until they become pure static, learning at each step how to reverse that process. At inferenc…
Writing Great Image Prompts
A strong image prompt is a structured description, not a wish. AI image models (Midjourney, DALL·E 3, Stable Diffusion, Flux) translate your text into pixel distributions, so every word shifts probabilities. Vague prompts produce average-looking outputs; precise prompts produce …
Steering the Image: Aspect Ratio, Seeds, and Reference Images
Four controls give you repeatable, precise results in image generation rather than random lucky rolls. **Seed** is an integer that initializes the noise pattern the model denoises into an image. Identical prompt + identical seed = identical output (on the same model version). Ch…
Inpainting & Image Editing: Fix, Extend, Restyle Without Starting Over
Inpainting, outpainting, and image-to-image editing are three core techniques that let you modify specific regions or properties of an existing image rather than regenerating everything from a new prompt. **Inpainting** works by masking a region of the image (drawing a white are…
AI Video Generation in 2026: From Text to Motion
AI video generation in 2026 works in two main modes. In text-to-video, a language-vision model interprets a text prompt and synthesizes a sequence of frames that are temporally coherent — meaning objects move consistently from frame to frame. In image-to-video, a single still im…
Using AI Media Responsibly: Licensing, Deepfakes, Watermarks & Disclosure
Responsible AI media creation covers four practical areas you need to understand before publishing anything. **Licensing:** AI image generators are trained on scraped web data, much of it copyrighted. Tools like Midjourney, DALL-E 3, and Adobe Firefly have different policies — F…