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LTX 2.3 Fast
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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.

LTX 2.3 FastText to video10s16:9Enabled$0.52
LTX 2.3 FastText to video10s16:9Audio

Prompt breakdown

Text-to-video 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…

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

Show 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.

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

LTX 2.3 Fast camera movement example: city tracking - Opening frame
Opening frame
LTX 2.3 Fast camera movement example: city tracking - Motion beat
Motion beat
LTX 2.3 Fast camera movement example: city tracking - Final shot
Final shot

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