I've generated over 500 videos with Wan 2.7 AI in the past month. Some came out incredible on the first try. Others were a complete mess. The difference? Always the prompt.
After tracking what worked and what didn't, I developed a reliable prompt framework that produces consistent, high-quality results. In this guide, I'm sharing everything I learned — the exact templates, the common mistakes, and the tricks that took me from random outputs to predictable quality.
Why Prompts Matter More Than Settings
Here's something most people get wrong: they spend all their time tweaking duration, aspect ratio, and style settings, but write a two-word prompt. That's backwards.
Wan 2.7 AI's video generation engine processes your text prompt first, then applies settings on top. A detailed prompt with default settings will almost always beat a vague prompt with perfect settings.
The model needs to understand what you want before it can figure out how to render it.
The 6-Element Prompt Framework
Every great Wan 2.7 AI prompt includes these six elements:
1. Subject
Who or what is the main focus? Be specific about appearance, position, and action.
- Bad:
a person - Good:
a young woman in a red leather jacket, short black hair - Better:
a young woman in a red leather jacket with short black hair, walking confidently through a crowd
2. Setting/Environment
Where does the action take place? Include spatial details.
- Bad:
in a city - Good:
on a rain-soaked Tokyo street at night, neon signs reflecting on wet pavement
3. Camera Direction
How should the camera move? This is what separates amateur prompts from professional ones.
Common camera terms that work well with Wan 2.7 AI:
| Camera Term | Effect |
|---|---|
tracking shot | Camera follows the subject |
dolly forward | Camera moves toward the subject |
slow pan left/right | Camera rotates horizontally |
crane shot | Camera moves up or down |
static wide shot | Camera stays fixed, wide framing |
close-up | Tight framing on subject |
aerial/drone shot | Bird's-eye perspective |
4. Lighting
What is the light source and quality? This dramatically affects mood.
golden hour warm light— Outdoor, late afternoon warmthneon glow— Urban night scenessoft diffused overhead light— Studio, indoordramatic rim lighting— Silhouette emphasisvolumetric light rays— Atmospheric depth
5. Mood/Atmosphere
What feeling should the video convey?
mysterious,energetic,melancholic,peaceful,intense,dreamy,gritty
6. Quality Modifiers
Technical hints that push the output quality up:
high detail,4K,cinematic,sharp focus,shallow depth of field,film grain
Complete Prompt Templates
Template A: Cinematic Scene
[Subject with appearance details] [doing action] in [specific location],
cinematic style, [lighting type], [camera movement],
[mood] atmosphere, high detail, shallow depth of fieldExample:
A detective in a long trench coat examining evidence under a streetlamp
in a foggy 1940s alley, cinematic style, dramatic shadows with warm
lamplight, slow dolly forward, noir atmosphere, high detail,
shallow depth of fieldTemplate B: Product/Commercial
[Product/subject] [showcased how] on [surface/background],
commercial photography style, [lighting setup],
[camera movement], clean professional look, sharp focusExample:
A minimalist ceramic coffee mug with steam rising, placed on a
marble countertop next to fresh coffee beans, commercial photography style,
soft studio overhead lighting, slow 360-degree orbit,
clean professional look, sharp focusTemplate C: Nature/Landscape
[Natural scene with specific elements] at [time of day],
nature documentary style, [natural lighting],
[camera type and movement], [emotional quality], ultra detailedExample:
Ocean waves crashing against volcanic black rock cliffs at dawn,
nature documentary style, golden sunrise light breaking through clouds,
wide aerial drone shot slowly descending, majestic and powerful mood,
ultra detailed water spray and mistTemplate D: Character/Portrait
[Person description with outfit and expression] in [setting],
[visual style], [portrait lighting], [camera framing],
[emotional tone], detailed skin texture, natural colorsExample:
An elderly fisherman with weathered skin and kind eyes, mending nets
on a wooden dock at sunset, documentary portrait style,
warm golden backlight, close-up handheld with slight movement,
quiet contemplative mood, detailed skin texture, natural colors10 Prompts You Can Copy Right Now
Here are my top-performing prompts — tested and refined across dozens of generations:
-
A lone astronaut walking across a Mars-like desert, sci-fi cinematic style, orange dust haze with low sun, tracking shot from the side, isolated and epic atmosphere, ultra detailed spacesuit reflections -
Cherry blossom petals falling in slow motion through a traditional Japanese garden, anime-inspired style, soft pink diffused light, crane shot rising upward, peaceful and dreamlike, delicate petal detail -
A street musician playing saxophone in a dimly lit New York subway station, documentary style, warm tungsten lighting mixed with cool fluorescent, static medium shot, soulful and gritty atmosphere, detailed instrument reflections -
Molten lava flowing into the ocean creating massive steam clouds at twilight, nature documentary style, dramatic orange and blue contrast lighting, aerial wide shot, raw power and beauty, high detail steam and water interaction -
A cyberpunk hacker typing rapidly at multiple holographic screens in a dark room, sci-fi anime style, blue and green holographic glow, orbiting camera, intense focused atmosphere, detailed light effects on face -
A golden retriever puppy discovering snow for the first time in a backyard, heartwarming commercial style, bright overcast winter light, handheld following the puppy, joyful and innocent mood, detailed fur and snow textures -
Time-lapse of a city skyline transitioning from day to night, cinematic style, shifting natural to artificial lighting, static elevated wide shot, transformative and alive, detailed window lights appearing -
A ballet dancer performing a pirouette in an abandoned warehouse with shafts of dusty sunlight, artistic style, dramatic volumetric light beams, slow-motion tracking shot, graceful and haunting atmosphere, flowing fabric detail -
Fresh sushi being prepared by a master chef, extreme close-up of knife work on salmon, food photography style, clean overhead lighting, slow dolly in, precise and meditative, ultra detailed food textures -
A vintage sports car driving along a coastal highway at golden hour, automotive commercial style, warm rim lighting with lens flare, tracking shot from a chase car, freedom and nostalgia, detailed chrome reflections
5 Mistakes That Ruin Your Videos
I made all of these mistakes myself. Here's how to avoid them:
Mistake 1: Being Too Vague
Make a cool video of something interesting — This tells the AI nothing. Every element needs to be specified. If you don't describe it, the model will guess, and its guesses are rarely what you want.
Mistake 2: Contradicting Yourself
Bright sunny day with dark moody shadows in a well-lit dark room — Contradictions confuse the model. Pick one lighting scheme and commit to it.
Mistake 3: Ignoring Camera Direction
Without camera instructions, the model defaults to a basic static shot. Adding tracking shot, dolly forward, or slow pan immediately makes your video feel more professional.
Mistake 4: Overloading the Prompt
Stuffing 20 different ideas into one prompt dilutes everything. Focus on 1 subject, 1 action, 1 setting. You can always generate more shots and combine them using multi-shot storytelling.
Mistake 5: Not Iterating
Your first prompt is rarely your best. Generate, evaluate, adjust one thing, regenerate. After 3-4 rounds, you'll have something much better than your first attempt.
Advanced: Multi-Shot Prompt Strategy
When using Wan 2.7 AI's multi-shot feature, each shot needs its own focused prompt. Here's a strategy that works:
Shot 1 (Establishing shot, 5s):
Wide aerial view of a mountain village at dawn, warm golden light
breaking over peaks, slow descending crane shot, peaceful atmosphereShot 2 (Character introduction, 5s):
Close-up of a hiker lacing up boots on a wooden cabin porch,
warm morning light, handheld detail shot, anticipation moodShot 3 (Action, 5s):
The hiker walking along a narrow mountain trail with dramatic valley
views, tracking shot from behind, adventurous and free atmosphere,
wind in hair detailThe key: maintain visual consistency by keeping the same style keywords, lighting conditions, and color palette across all shots.
The Bottom Line
Writing great Wan 2.7 AI prompts isn't about being creative — it's about being specific. Use the 6-element framework (subject, setting, camera, lighting, mood, quality), start with my templates, and iterate until you find what works for your use case.
The best prompt is the one you refine through experimentation. Start generating at wan27ai.org and build your own prompt library from what you learn.

