It's storytelling under probabilistic motion constraints.
AI video generation fundamentally differs from image creation. You're not generating frames—you're orchestrating temporal coherence, motion physics, and camera intent across time.
Begin Your Journey →Video models predict the next frame based on the previous ones. They don't "understand" motion—they approximate it statistically.
Scrub through to see how temporal coherence works:
Current frame: 4 — The model uses all previous frames to predict the next
Frame-to-frame consistency
Motion flow prediction
Each model has its own personality, biases, and strengths. Understanding these helps you choose the right tool.
Cinematic quality, strong motion physics
Fluid motion, excellent for organic scenes
Dreamlike quality, creative interpretations
Balanced realism, reliable outputs
Fast iteration, stylized results
Full control, requires infrastructure
Great prompts are structured. Each component controls a different aspect of generation.
Motion is where video generation fails first. Understanding physics constraints helps you write better prompts.
Your camera prompt is often more important than your subject prompt. Define intent, not just movement.
Horizontal camera rotation from a fixed point. Great for revealing environments or following action.
The model will choose randomly—often resulting in unstable, erratic movement that breaks immersion.
Keeping characters and environments consistent across generations is the hardest challenge in AI video.
Techniques to maintain consistency:
The best results come from systematic refinement, not single attempts. Version your prompts like code.
Common failure patterns and fixes:
The same prompt produces wildly different results across models. Learn each model's "language."
"A woman walking through a rainy city at night, neon reflections, cinematic"
Dramatic lighting, slower pace, film grain
Ethereal glow, dreamlike movement, soft focus
Balanced realism, natural walking speed
Identify what's missing in these broken prompts. Click to reveal the fix.
"A cat jumps on the table"
"Cinematic forest scene with birds"
"Man walking down street, 4K"
AI video excels at mood, atmosphere, and abstract expression. Prompt for emotion, not just detail.
Sync motion to rhythm and mood
Abstract emotional narratives
Visualize ideas before production
Surreal, physics-defying scenes
Instead of describing what happens, describe how it FEELS:
With great generative power comes responsibility. Consider the implications of what you create.
You want to create a video showing a historical figure speaking.
Curated, annotated prompts to learn from. Understand WHY they work, then adapt.
"Underwater light rays dance through kelp forest, sea turtle gliding peacefully left to right, camera slowly rising, dreamy ethereal quality, blue-green color palette"
"Ink drops falling into water in extreme slow motion, swirling and expanding, abstract patterns forming, macro lens locked shot, black ink on white milk background, hypnotic meditation"
Before every generation, run through these fundamentals:
Models evolve weekly. Stay curious. Experiment responsibly. Share what you learn.
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