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
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 · 1080p
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.
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 Fal’s 25/50 fps options.
Image input
Audio option
20s max
Key frames



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