Why Wan 2.6?
Wan 2.6 video AI models by Alibaba give you control over movement, light, and atmosphere like never before. It transforms static ideas into videos that feel real, intentional, and cinematic. From subtle gestures to slow-motion spectacle, you can guide every frame and let the scene breathe.
Created by Jonny Gromis, the following examples show how Wan 2.6 handles both text to video and image to video workflows — and why that matters if you’re building cinematic visuals, fashion edits, or atmospheric storytelling.
Below are four practical and repeatable ways to use Wan 2.6 in real projects. Feel free to steal the prompts and make them your own.
Example 1: Projector Man
Using Wan 2.6 text to video, this starts with text and builds a scene that feels grounded and deliberate.
Prompt: “A silhouetted man stands centered in front of a bright projector, arms raised overhead. Over the duration of the shot, his arms continue lifting slightly higher and settling into a fully extended position. Movement is slow, smooth, and evenly paced, with natural body weight and subtle shoulder motion. Generate smooth slow motion with a stable frame rate and natural cinematic motion blur. No frame skipping, no jitter, no stutter. The projector light behaves realistically. The man’s body and arms fully block the light wherever they pass, cutting through the beams and creating accurate shadows. No light passes through the silhouette. Projector colors shift slowly and smoothly over time, flowing from cool blues into warm oranges and soft pinks, only in visible light areas. Volumetric light rays remain stable in atmospheric haze, with subtle dust visible only where light is unobstructed. Camera remains locked off or performs an extremely slow push-in. The scene feels cinematic, grounded, and physically real. No glitches, no flicker, no ghosting, no glowing silhouette, no sci-fi effects.”
Here is the final video:
This is a great example that demonstrates how Wan is:
- Ideal for music visuals, album trailers, or opening shots
- Strong example of how to direct motion, light behavior, and pacing through text alone
- Proof that Wan 2.6 handles cinematic slow motion without breaking immersion
Next up are three examples using Wan 2.6 image to video AI model.
Example 2: Fashion Girl
This video uses six image references and brings a still fashion moment to life.






Prompt: “The woman’s hair moves slightly as if caught in a gentle breeze. Her sunglasses reflect shifting light and subtle movement of street surroundings. The camera slowly zooms in on her face, emphasizing a cool, relaxed vibe. Soft ambient city sounds whisper in the background.”
Final video:
Why this matters:
- Perfect for fashion edits, brand content, or social-first campaigns
- Shows how Wan 2.6 adds life without changing identity or style
- Great for creators who want motion without losing the original look.
- If you work with still photography and want to extend it into video, this is the play.
Example 3: Arcade Girl
This example starts with a single reference image and a short prompt, then lets nuance carry the scene.
Reference image:

Prompt: “Animate the scene with subtle, cinematic motion while preserving film grain and natural skin texture. The subject remains mostly still, leaning slightly with relaxed confidence. Gentle breathing visible in the shoulders and chest. Small eye movement and a slow blink. Neon arcade lights softly flicker and pulse in the background. Reflections shift slightly on surrounding machines. Very slow, smooth camera push-in. No exaggerated motion or stylization. The moment feels calm, confident, and effortlessly cool, like a fashion editorial coming to life.”
This video:
- Shows how little motion you actually need
- Preserves film grain and skin texture
- Ideal for mood pieces, intros, or character-driven visuals
Wan 2.6 shines when you trust stillness and let micro-movements do the storytelling.
Example 4: Projector Girl
This final example mirrors the projector concept, this time starting from a single image.
Reference image:

Prompt: “Use the uploaded image as the starting frame. Generate a smooth slow-motion video with a stable frame rate and natural motion blur. A silhouetted woman slowly raises both arms upward in a calm, evenly paced motion. No sudden movement, no jitter, no frame skipping. The projector light behaves realistically. Her body and arms fully block the light, cutting through the beams and creating accurate shadows. No light passes through the silhouette. Projector colors shift slowly and smoothly from cool blues to warm oranges and pinks, only in visible light areas. Volumetric light rays remain stable in atmospheric haze. Camera stays locked off or moves with a very slow push-in. No glitches, no stutter, no flicker, no ghosting, no glowing silhouette, no sci-fi effects.”
This is how you build atmosphere without leaning on effects. This fourth video is proof Wan 2.6 is:
- Great for performance visuals, lyric videos, or conceptual art
- Demonstrates consistency between text to video and image to video workflows
- Handling light physics and slow motion very well
Takeaways for creators
Wan 2.6 rewards precision. The clearer your intent around motion, light, and pacing, the stronger the result. You don’t need complex prompts or heavy stylization. You need direction.
Use Wan 2.6 when you want:
- Cinematic slow motion that holds together
- Image to video that respects the source
- Subtle movement that feels designed, not generated
These examples aren’t edge cases. Start with these templates, and then push your imagination even further — Use Wan 2.6 on Artlist now.
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