LTX Video 2.0 Fast camera movement example: city tracking
This LTX Video 2.0 Fast text to video example shows city tracking. It highlights audio-enabled output and camera motion control with 8-second timing · 16:9 output.
Prompt breakdown
Text-to-video prompt used to generate this render.
Subject
8 second 16:9 cinematic shot at a busy city crosswalk at golden hour. The camera starts behind a young woman with a backpack as she waits at the curb, then moves into a smooth handheld tracking shot as she steps onto th…
Workflow
Text to video
Camera
Tracking
Output
8s · 16:9
Audio
Enabled
Constraints
Text To Video, Audio Enabled, Tracking
Show full promptHide full prompt
8 second 16:9 cinematic shot at a busy city crosswalk at golden hour. The camera starts behind a young woman with a backpack as she waits at the curb, then moves into a smooth handheld tracking shot as she steps onto the crosswalk and walks toward the opposite sidewalk. Warm sunlight hits the side of her face, cars roll past in the background, and soft lens flares appear on the edges of the frame. People cross in both directions but the camera keeps her framed clearly in the center. Audio: soft city ambience (cars, footsteps, distant voices) plus a light upbeat music bed, no dialogue and no text on screen. 1080p or 4K, clean commercial look, realistic motion, no slow motion.
Why LTX Video 2.0 Fast fits this shot
Generate fast cinematic AI videos with LTX-2 Fast. Text and image to video with synchronized audio, up to 4K, ideal for rapid iteration and social content.
Image input
Audio option
20s max
Key frames



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