Master AI video prompts for Veo 3.1, Kling 3.0, FLUX 3 Video, Seedance 2.5, and LTX-2.5. Frameworks, examples, and pro tips for HK creators.
How to Write Better AI Video Prompts in 2026: A Practical Guide
AI video generation is no longer a single-model game. With Veo 3.1, Kling 3.0, FLUX 3 Video, Seedance 2.5, and LTX-2.5 all competing for your workflow, the question isn't which model is best — it's which prompt style gets the results you need. Each model speaks its own language, and knowing the difference separates usable output from unusable.
Why Video Prompts Differ from Image Prompts
Image prompts describe a single frame. Video prompts must describe motion — how things move, how the camera behaves, what changes over time. A prompt that works for an image fails in video because it lacks temporal direction.
Most AI video models now support motion keywords: "tracking shot," "push-in," "slow pan," "handheld," "dolly zoom." Adding even one motion keyword improves output coherence by over 50% compared to a static description alone. This is the single highest-impact change any creator can make.
How Each Major Model Handles Prompts
Veo 3.1 prefers natural language. Describe the scene as if explaining it to a cinematographer. "A chef in a busy Hong Kong kitchen at golden hour, slicing carrots with precise knife work. Medium shot, shallow depth of field. Steam rises from a wok." Veo 3.1 interprets cinematic language well — "low angle," "tracking left," and "rack focus" all produce consistent results.
Kling 3.0 rewards structured prompts with clear subject-verb-object ordering. "A woman in a red dress walks through a neon-lit street market at night. Rain reflects on pavement. Slow motion." Kling handles abstract concepts less reliably, so stick to concrete visual descriptions.
FLUX 3 Video works best with concise prompts specifying style and duration upfront. "A futuristic Hong Kong skyline at dusk, cyberpunk style, 5 seconds, cinematic lighting." FLUX 3 Video's text rendering is best in class — include text in your prompt and it appears legible in the output.
Seedance 2.5 supports bilingual prompts (English and Chinese), ideal for Hong Kong creators. "A bustling dim sum restaurant, 热闹的早茶场景, camera pans slowly across tables, warm lighting." The model understands both cultural and visual context.
LTX-2.5 is more technical. Open-weights and local-runnable, it responds well to parameter-heavy prompts. "FPS: 24, Resolution: 1080p, Duration: 10s, A drone shot flying over Victoria Harbour at sunrise, cinematic grade." Precise numerical parameters reduce inference time and improve shot consistency.
Anatomy of a Great Video Prompt
Every strong prompt includes six elements:
1. Subject — who or what is in focus: "a middle-aged man in a tailored suit" not "a man" 2. Action — what the subject does: "walks across a marble lobby, stops, checks his phone" 3. Environment — where the scene takes place: "a minimalist art gallery with white walls and natural light" 4. Camera movement — how the shot moves: "slow push-in from wide to medium" 5. Lighting — mood and atmosphere: "golden hour, soft shadows, warm tones" 6. Style reference — visual direction: "documentary style, realistic, slight film grain"
Missing any two of these and the output almost certainly needs a reroll.
Common Prompt Mistakes That Waste Credits
Too vague. "A city street" gives the model too much freedom. Set guardrails: time of day, weather, foot traffic density, camera angle.
Too busy. "A group of people at a festival with fireworks, a parade, food stalls, and children running while music plays and lights flash" produces visual noise. Pick one focus element per shot.
Mixed styles. "Photorealistic, anime style, cinematic" confuses the model. Pick one dominant style.
No camera instruction. Without a camera directive, models default to a generic static mid-shot. If you want a dolly, a pan, or a tracking shot, say it explicitly.
Advanced Prompting: Camera Angles and Motion
The best prompts treat camera direction as part of the narrative:
- Establishing shot — "Wide shot, a drone rises from street level to reveal the full Wan Chai skyline" - Character introduction — "Dolly forward as the subject turns toward camera, slow motion" - Action sequence — "Whip pan followed by tracking shot, fast-paced, dramatic lighting" - Atmosphere — "Static shot, rain on a window, focus on water droplets sliding down glass"
Each camera instruction signals a shot type. Mixing them — "tracking shot, then static close-up" — produces a cut in generation, which some models handle well and others don't. For multi-shot prompts, Veo 3.1 and Seedance 2.5 are most reliable.
Frequently Asked Questions
Q: Should I use negative prompts for AI video? A: Yes. Models like Kling 3.0 and FLUX 3 Video support negative prompts. Exclude "blurry face, distorted hands, flickering" to reduce common artifacts.
Q: How long should a video prompt be? A: 30-80 words for most models. Veo 3.1 handles 100+ words, while FLUX 3 Video performs best with 15-25 concise words.
Q: Does prompt language matter for non-English scenes? A: Seedance 2.5 natively supports Chinese-English mixing. Other models interpret Chinese description well if the prompt is otherwise in English. Avoid mixing three languages.
Q: Can I prompt the same scene across multiple models? A: Yes, but adapt the prompt per model. A Veo 3.1 prompt translated directly to Kling 3.0 often loses quality. Test each model's preferred style.
Q: How do I get consistent character appearances across clips? A: Include appearance details in every prompt: "same woman, black hair, red dress, 30s, Hong Kong." Veo 3.1's identity preservation mode is the most reliable.
Q: What is the best motion description format? A: [Camera Direction] + [Subject] + [Action] + [Environment] + [Lighting]. Example: "Dolly left, a delivery cyclist weaves through traffic in Mong Kok, bright daylight, cinematic."
Q: Are emoji prompts effective in AI video? A: Some models interpret emoji like "sunset, cinematic" — but Veo 3.1 and Kling 3.0 ignore them entirely. Stick to text.
Q: How often should I update my prompting approach? A: Every 3-4 months. Models update frequently, and the "best" prompt style changes with each version. What worked for Kling 2.5 won't work for Kling 3.0.