AI Video Basics.

AI video is where AI images were two years ago: early, exciting, and evolving fast.

If AI image generation felt like magic the first time you tried it, AI video generation will feel like sorcery. You describe a scene or upload an image, and the tool generates a video clip — complete with motion, camera movement, and lighting changes. The clips are short (typically 4-16 seconds) but the quality has improved dramatically in the last year.

Fair warning: AI video is not yet at the "looks completely real" stage for everything. But for social media clips, creative projects, concept visualization, and artistic expression, it is already genuinely useful.

Here is your map to the AI video landscape.

Runway Gen-3: The most established AI video platform. Offers text-to-video, image-to-video, and video-to-video transformation. Known for cinematic quality and good motion coherence. Starts at $12/month. This is the one most professionals reach for first.

Pika: Focuses on making AI video creation simple and fun. Excellent for quick social clips and creative experiments. Has a generous free tier. The interface is clean and beginner-friendly.

Kling AI: Produces impressive motion quality and handles complex scenes well. Known for longer generation times but higher quality results. Growing rapidly in popularity.

Sora (by OpenAI): Generates remarkably coherent and realistic video. Available through ChatGPT Plus/Pro. Excels at understanding physics and natural motion. Higher-tier plans get more generations.

Luma Dream Machine: Fast generation, good at dreamy and artistic styles. Free tier available. Particularly strong at image-to-video — turning still images into moving scenes.

Text-to-video versus image-to-video. Both are powerful, for different reasons.

Text-to-video: You describe a scene in words and the AI generates the entire video from scratch. This gives you maximum creative freedom but less control over the exact look. It is best for when you want to explore ideas quickly.

Image-to-video: You upload a still image and the AI animates it — adding motion, camera movement, and life. This gives you much more control over the visual result because you start with an image you already like. Generate your perfect image first, then bring it to life with video.

The image-to-video approach is often the most practical workflow: use your AI image skills from earlier lessons to create the perfect starting frame, then use a video tool to animate it.

Let's create one right now.

The simplest path is Pika or Luma Dream Machine, both of which have free tiers. Here is the process:

1. Go to pika.art and sign up (free)
2. Click "Create" and choose text-to-video
3. Enter a simple prompt: "A cup of coffee with steam rising, on a wooden table by a rainy window, cozy morning light, slow gentle motion"
4. Generate and wait (usually 30-90 seconds)
5. Watch your video. Notice how the steam moves, how the light plays. That is AI video.

How AI video actually works under the hood.

AI video generation extends the same diffusion model concept from image generation into the time dimension. Instead of generating one frame, the model generates a sequence of frames that are temporally coherent — meaning objects move smoothly and consistently from one frame to the next.

The reason clips are currently short (4-16 seconds) is that maintaining coherence over longer durations is exponentially harder. Every frame needs to be consistent with every other frame in terms of lighting, object appearance, physics, and camera position. The compute cost scales dramatically with duration.

This is why the image-to-video approach often produces better results than text-to-video. When you give the model a starting image, it has a concrete visual reference to maintain consistency against. With pure text-to-video, the model must invent the entire visual world from scratch and keep it consistent — a much harder task.