Parameters
| Name | Description | Type | Required | Enums |
|---|---|---|---|---|
| prompt | Marketing message or product description | string | No | - |
| images | Product or scene images (1-7) as URLs or base64 data URIs | string[] | Yes | - |
| aspect_ratio | Video aspect ratio | string | No | 16:9, 9:16, 1:1 |
| duration | Video duration in seconds (10-60) | integer | No | - |
| language | Script language for generated narration | string | No | zh, en |
Pricing
Unit: $/sec
| Pricing |
|---|
| $0.1840/sec |
Related Models
- vidu/one-click-general-film: [Core Function] Vidu One-Click General Film is an automated cinematic film generation model. [Strengths] It excels at automatically stringing together 1 to 7 user-provided images into a cohesive, cinematic film (up to 180s) with appropriate transitions and pacing. [Best For] Highly recommended for: instant music videos, cinematic montages, automated travel vlogs, and turning photo albums into compelling short films. [Limitations] Do NOT use this model if the user needs precise, frame-by-frame control over camera movements or specific character actions in each shot. [Routing] Use this when the user wants an automated ‘done-for-you’ long video from a batch of images without manually prompting every single shot.
- vidu/one-click-trending-replicate: [Core Function] Vidu One-Click Trending Replicate is a viral video style cloning model. [Strengths] It excels at analyzing a trending or viral reference video and recreating its specific visual style, transitions, and pacing using the user’s own provided subject images. [Best For] Highly recommended for: participating in social media video trends, quickly cloning viral visual effects, and applying popular editing styles to personal photos. [Limitations] Do NOT use this model for original cinematic storytelling. It is strictly meant to mimic the style of a provided reference video. [Routing] Use this when the user explicitly provides a ‘trend’ or ‘viral’ video and wants to recreate that exact vibe or transition style with their own images.
