WAN 2.2 Prompting Guide
Master professional video generation with PixelDojo's WAN 2.2. Learn camera movements, prompt techniques, and advanced controls to create stunning AI videos.
Overview
PixelDojo's WAN 2.2 brings professional video generation to your fingertips. With advanced camera controls, cinematic aesthetics, and flexible quality modes, you can create stunning AI videos in seconds.
Two Generation Modes
- •Text-to-Video: Create videos from detailed descriptions
- •Image-to-Video: Animate your images with motion
Quality Options
- •Fast Mode: Ultra-fast generation (1-2 credits)
- •Standard Mode: Premium quality (2-4 credits)
Prompt Writing Framework
Target 80–120 words for optimal control. Structure your prompts following this proven framework:
Opening Shot → Camera Motion → Reveal/PayoffCamera Language
- •pan left/right, tilt up/down
- •dolly in/out, crane up
- •orbital arc, tracking shot
- •crash zoom, camera roll
Motion Modifiers
- •slow-motion, whip-pan, time-lapse
- •parallax: foreground/background separation
- •multi-object interactions
- •occlusions and depth cues
Aesthetic Tags
- •volumetric dusk, harsh noon sun
- •neon rim light, golden hour
- •teal-and-orange, bleach-bypass
- •anamorphic bokeh, 16mm grain
Negative Prompt
- •More consistently respected in 2.2
- •Include: static, blurred, overexposed
- •Avoid: extra limbs, poor quality
- •See default template below
Default Negative Prompt
Camera Movement Capabilities
WAN 2.2 offers precise control over camera movements, allowing you to create professional-looking videos with specific directional cues:
Pan Left/Right
excellentReliable directional control, whip pans still challenging
Pull Back
excellentSmooth reveals while maintaining composition
Dolly In/Out
excellentBoth directions now work smoothly
Tilt Up/Down
excellentReliable vertical camera movements
Tracking Shot
excellentLong, smooth following shots
Crash Zoom
goodNow feasible for dramatic emphasis
Camera Roll
good360° rotation more reliable
Whip Pan
moderateFast pans still challenging
Camera Movement Examples
Pan Example
Achieved reliable left/right control on first attempt
A low angle shot of a jazz pianist in a dimly lit 1920s jazz bar, playing the piano with concentration. He wears a white shirt with suspenders and black trousers, his hands move rapidly on the keys. Camera pans left to low angle shot of a cute girl with pigtails and glasses playing the trumpet.
Change 'pans left' to 'pans right' for opposite direction
Pull Back Example
Smooth reveal maintaining scene composition
Close up shot of the determined face of a battle-worn samurai. Camera pulls back to reveal him standing alone on a foggy battlefield, gripping his katana. Camera pulls back to reveal fallen warriors behind him. Wind whips through the trees, sending red autumn leaves swirling.
Dolly Out Example
WAN 2.2 successfully achieves dolly-out
In the style of an American drama promotional poster, Walter White sits in a metal folding chair wearing a yellow protective suit, with the words 'Breaking Bad' written in sans-serif English above him, surrounded by piles of dollar bills and blue plastic storage boxes. He wears glasses, staring forward, dressed in a yellow jumpsuit, with his hands resting on his knees, exuding a calm and confident demeanor. Camera dollies out. The background shows an abandoned, dim factory with light filtering through the windows. There's a noticeable grainy texture. A medium shot with a straight-on close-up of the character.
Tilt Example
Smooth vertical camera movement
A close-up shot of the feet of a man wearing mountaineering gear, standing in a grassy field. Camera slowly tilts up, revealing the full body of a mountaineer wearing gear. In the distance, majestic rocky mountains tower above.
Tracking Shot Example
Complex tracking through crowded environment
A sprawling cyberpunk metropolis, neon lights reflecting off rain-soaked streets. Pedestrians in futuristic outfits rush by as holographic advertisements flicker in the air. The camera follows a hooded figure in a long tracking shot, weaving through the crowded market. Overhead lights cast a moody glow, while fog drifts through the alleyways. The scene is dark and mysterious, with blue and purple lighting creating a high-tech, dystopian feel.
Crash Zoom Example
Rapid zoom for dramatic/comedic effect
In a large dimly lit midcentury modern room, a man sits with an authoritative and pensive pose on a leather chair. He is wearing a dark suit jacket and grey trousers. He has silver hair. The chair is in the center of the screen. Behind the chair, there is an oak console with a lamp. The wall is made of oak panels. The man looks directly at the camera. Camera rapidly zooms in on the man's face. Then he lets out a slight smirk.
Camera Roll Example
Full 360° rotation for disorientation effect
Overhead shot of a man fallen asleep on his desk in front of his computer. The room is dark except for the light from the monitor. The man's head is on his arms by the keyboard. Around the desk, there is a mess of papers and floppy disks. The camera rolls in full 360 motion.
Recommended Parameters
Optimal for coherent motion
Best quality/speed balance
16 fps for quick tests
960×540 for drafts
Sample Prompts Gallery
Neon Drift
A rainy night in a dense cyberpunk market, neon kanji signs flicker overhead. The camera starts shoulder-height behind a hooded courier, steadily tracking forward as he weaves through crowds of holographic umbrellas. Volumetric pink-blue backlight cuts through steam vents, puddles mirror the glow. Lens flare, shallow depth of field. Moody, Blade-Runner vibe.
Alpine Reveal
Extreme close-up of a mountaineer's ice axe biting into frozen rock. Camera dollies back and tilts up simultaneously, revealing the climber and a vast sunrise-lit alpine ridge behind him. Crisp morning air, golden rim-light, subtle lens flare.
Aquatic Ballet
An orca breaches in crystal-clear Arctic waters. Slow 360° orbital shot around the soaring whale as droplets hang suspended. Soft polar sunset lights the scene in pastel pinks and blues; cinemagraphic HDR.
Hitchcock Zoom
In the style of an American drama promotional poster, Walter White sits in a metal folding chair wearing a yellow protective suit, with the words "Breaking Bad" written in sans-serif English above him, surrounded by piles of dollar bills and blue plastic storage boxes. He wears glasses, staring forward, dressed in a yellow jumpsuit, with his hands resting on his knees, exuding a calm and confident demeanor. Camera hitchcock zooms in. The background shows an abandoned, dim factory with light filtering through the windows. There's a noticeable grainy texture. A medium shot with a straight-on close-up of the character.
WAN 2.2 on PixelDojo
PixelDojo offers two quality modes for WAN 2.2, each optimized for different use cases:
Fast Mode
Ultra-fast generation
- •480p: 1 credit
- •720p: 2 credits
- •Perfect for testing ideas
- •Both T2V and I2V modes
Standard Mode
Premium quality
- •480p: 2 credits
- •720p: 4 credits
- •Enhanced detail & motion
- •Advanced LoRA support
Pro Tips for Better Results
Start with Clear Motion
Specify one main camera movement per generation for best results
Use Reference Points
Include foreground/background elements to enhance motion perception
Leverage Quality Modes
Use Fast mode for testing, Standard mode for final output
Experiment with Seeds
Use the same seed to iterate on a concept with different prompts
Frequently Asked Questions
How long should prompts be?
80–120 words provides optimal control. Too short and the model fills in defaults; too long and it may ignore details.
Why is my camera move ignored?
Use clear action verbs, reduce conflicting movements, and ensure you're using one main camera movement per generation.
How do I get better motion?
Include parallax cues, reference foreground/background elements, and describe how objects interact spatially.
What's the difference between Fast and Standard mode?
Fast mode offers ultra-fast generation at 1-2 credits, perfect for testing. Standard mode provides premium quality at 2-4 credits for final output.
Can I combine multiple camera movements?
Yes, but keep it simple. Chain movements sequentially (e.g., 'pan left then tilt up') rather than simultaneous complex moves.
How do I use image-to-video mode?
Upload your image first, then describe the motion you want. Focus on camera movements and how elements should animate.