Wan 2.6 Text & Image to Video camera movement example: city tracking
This Wan 2.6 Text & Image to Video text to video example shows city tracking. It highlights audio-enabled output and camera motion control with 10-second timing · 16:9 · 720p output.
Prompt breakdown
Text-to-video prompt used to generate this render.
Subject
Wide 16:9 cinematic action shot, a runner sprints through a rainy city street at night, water splashes realistically with each step, reflections on wet asphalt, handheld tracking camera following from the side. Dynamic…
Workflow
Text to video
Camera
Tracking
Output
10s · 16:9 · 720p
Estimated price
$1.30
Audio
Enabled
Constraints
Text To Video, Audio Enabled, Tracking
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Wide 16:9 cinematic action shot, a runner sprints through a rainy city street at night, water splashes realistically with each step, reflections on wet asphalt, handheld tracking camera following from the side. Dynamic motion with believable inertia and physics, no rubbery limbs, no wobbling background, stable scene geometry, minimal temporal flicker, sharp details despite fast movement, realistic motion blur.
Prompt improvement notes
Note 1
Keep the subject, camera move, lighting, duration, aspect ratio and audio requirement grouped so the render has one clear production brief.
Note 2
Change one variable at a time when cloning this prompt: model, duration, camera motion or reference input. That makes quality and price differences easier to compare.
Note 3
Add a short negative prompt if you need to block text overlays, logos, distorted hands, face warping or unwanted camera shake.
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Review this example beside nearby engines before choosing a render path.
Why Wan 2.6 Text & Image to Video fits this shot
Wan 2.6 merges text, image, and reference-to-video in one card with multi-shot prompting and 720p/1080p tiers.
Text prompts
Image input
Reference video
Key frames
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