Vidu Q2 Text to Video

Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. Vidu Q2 is Shengshu's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition. Vidu Q2 Text to Video handles the vidu/q2/text-to-video workflow for text to video work in video production. Because vidu/q2/text-to-video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. That scope belongs to this named route, not to a neighboring version.

The mandatory portion is prompt. For example, the route documentation includes “A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers.”. Vidu Q2 Text to Video exposes bgm, seed, prompt, duration, resolution, aspect_ratio, movement_amplitude as its documented request surface. bgm controls whether to add background music to the video (only for 4-second videos); seed controls random seed for reproducibility. If None, a random seed is chosen; prompt controls text prompt for video generation, max 3000 characters; duration controls duration of the video in seconds; duration accepts 2, 3, 4, 5, 6, 7, 8; resolution controls output video resolution; resolution accepts 360p, 520p, 720p, 1080p; aspect ratio controls the aspect ratio of the generated image. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing.

Highlights

• Coherent motion. Vidu Q2 Text to Video is built to turn the route’s text or reference media into a temporally connected sequence rather than unrelated frames.
• Shot direction. Prompts can describe subject action, camera movement, pacing, and atmosphere so Vidu Q2 Text to Video has a concrete motion plan.
• Reference-aware generation. When this route accepts source media, Vidu Q2 Text to Video uses it to anchor identity, composition, or the clip boundary throughout generation.
• Production variants. Declared duration, resolution, framing, or inference controls support repeatable video options for review and selection.

Pricing

When to Use

Prompt Guide

Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for vidu/q2/text-to-video.

{
  "prompt": "A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers.",
  "duration": 2,
  "resolution": "360p",
  "aspect_ratio": "21:9",
  "movement_amplitude": "auto"
}

Technical Specs

Related Models

• vidu/q3/text-to-video
• vidu/q3/image-to-video
• vidu/q3/reference-to-video/mix
• vidu/q3/image-to-video/turbo