LTX 2.3 Fast camera movement example: city tracking
This LTX 2.3 Fast text to video example shows city tracking. It highlights audio-enabled output and camera motion control with 10-second timing · 16:9 · 1080p output.
Prompt breakdown
Prompt used to generate this render.
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…Show full promptHide full prompt
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.
Workflow
Text to video
Camera
Tracking
Output
10s · 16:9 · 1080p
Estimated price
$0.52
Audio
Enabled
Constraints
Text To Video, Audio Enabled, Tracking
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.
Compare this model
Review this example beside nearby engines before choosing a render path.
Why LTX 2.3 Fast fits this shot
Generate fast AI video with LTX 2.3 Fast on MaxVideoAI. Text and image workflows support 6–20s clips, 1080p/1440p/4K, native audio, and 25/50 fps options.
Image input
Audio option
20s max
Key frames
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