Vidu AI

Vidu AI is a video creation platform from ShengShu AI that combines text-to-video, image-to-video, reference-driven generation, templates, image creation, audio tools, and API access. Its current lineup also includes Vidu Q3 for longer audiovisual generation and Vidu S2 models for real-time interactive video workflows.

For someone evaluating Vidu today, the interesting part is not simply that it can turn a prompt into a video. Many tools can do that. Vidu has built a broader workflow around reference consistency, multiple generation modes, audio-video output, and model-specific controls. The result is a platform that can serve quick creator work as well as more structured storytelling and developer workflows.

What Makes Vidu AI More Than a Basic Text-to-Video Tool?

At its simplest, Vidu takes a text description or visual input and turns it into motion. The platform supports text-to-video, image-to-video, reference-to-video, and start-end frame generation. The API documentation also exposes these workflows to developers rather than keeping generation limited to the consumer interface.

The reference workflow is particularly relevant for creators who need the same visual identity to survive across multiple scenes. Vidu’s reference-to-video tools support multiple reference images, with the current product pages documenting up to seven references for this workflow. Those references can represent characters, objects, scenes, style, composition, camera movement, or effects.

That makes Vidu more useful for story-driven content than a simple prompt-and-export generator. A creator can establish a character or product visually, then use that material as a guide for later shots.

The distinction between reference-to-video and image-to-video is also important. Image-to-video is primarily about animating a single image or keyframes. Reference-to-video is intended for stronger continuity across multiple shots and more detailed control over recurring visual elements.

From Vidu Q3 to Real-Time S2: The Model Lineup

Vidu’s current model map is much broader than a single video model. The Q3 family includes viduq3-pro, viduq3-mix, viduq3-drama, viduq3-ad, and viduq3-turbo. These models differ in their intended workflows, supported inputs, output resolutions, duration ranges, and generation speed.

Q3-pro supports text-to-video, image-to-video, and start-end-to-video, with outputs from 540p through 1080p and durations up to 16 seconds. Q3-turbo offers a faster route, while Q3-mix is designed around reference-to-video. The Q3 family also adds synchronized audio-video output on supported models.

The Q3 product page puts particular emphasis on generating a complete 16-second audiovisual clip in one generation. It combines dialogue, voiceover, sound effects, and music with the video rather than treating them as completely separate production stages.

Then there is Vidu S2, which moves the platform beyond ordinary clip generation. The September 15, 2026 update documents S2-Avatar for real-time voice interaction and complex motion control, plus S2-Editing for real-time changes to incoming video streams.

That expansion gives Vidu a broader identity: it is still an AI video generator at its core, but its current product surface also reaches real-time digital characters, live editing, audio, image generation, templates, and developer APIs.

Where Vidu Works Best in a Real Creative Workflow

Vidu makes the most sense when you want to move from an idea or reference image to a usable video without assembling a large stack of separate generation tools.

For social content, the straightforward workflow is still prompt-to-video or image-to-video. You describe the scene, choose a model, set duration and resolution, generate the result, and iterate. The official API documentation exposes similar controls, including aspect ratio, duration, resolution, and model selection.

For product content, reference-to-video is more interesting. A product image can act as an anchor while the generated scene adds movement and storytelling. This can be useful for product demonstrations, advertisements, social posts, and visual concepts where the object itself needs to remain recognizable. Vidu explicitly promotes reference-driven consistency for products, characters, scenes, and other recurring elements.

For longer creative workflows, Vidu’s multi-frame tools can connect several keyframes into a more structured sequence. Its API function list also includes video extension, lip sync, voice cloning, motion sync, prompt recommendations, and upscaling.

This broad toolkit is one reason Vidu is not limited to one type of creator. A short-form marketer may only use image-to-video and templates, while a developer can work directly with API endpoints and model-specific settings.

Vidu’s Output Controls Are a Major Part of the Experience

One of Vidu’s practical strengths is the number of ways you can define the starting material.

Text-to-video is the obvious entry point, but image-to-video lets you start with an existing visual. Start-end generation gives you a beginning and ending frame to guide the transition, while reference-to-video uses visual references to influence the generated scene.

The Q3 generation stack also gives creators a meaningful range of output settings. The API documentation lists 540p, 720p, and 1080p options for supported Q3 workflows, with Q3 video durations reaching up to 16 seconds.

Audio is another important difference from older AI video workflows. Q3 supports direct audio-video generation, including dialogue and sound effects, while the broader Vidu API also exposes separate audio, text-to-speech, voice cloning, and lip-sync capabilities.

There is also an upscale workflow. The API documentation lists Upscale Pro output options through 1080p, 2K, 4K, and 8K, depending on the operation.

Vidu AI Pricing and Credits Need a Closer Look

Vidu uses a credit-based consumer model alongside its free access. The official pricing page says new users receive trial credits, while subscription credits are valid for 30 days. Purchased credits are available separately and are valid for two years; bonus credits can also come through events, competitions, or the Artist Program.

Current consumer pricing verified against recent September 2026 records is $10/month for Standard, $35/month for Premium, and $99/month for Ultimate. Annual billing reduces those effective monthly figures to $8, $28, and $79, respectively. The free tier does not have a fixed published credit number on the current consumer pricing page, which instead points users to signup, daily-login, events, and other bonus-credit mechanisms.

The credit system matters because the real cost of video creation depends on the model, duration, and resolution you select. On the API, one credit currently costs $0.005, while individual generation costs vary by model. For example, Q3-pro ranges from $0.045 per second at 540p to $0.12 per second at 1080p, with lower off-peak rates where supported.

That makes it more useful to compare Vidu on cost per generated second rather than looking only at the headline subscription price.

The Limits You Should Know Before Paying

Vidu’s feature list is broad, but the platform still has trade-offs.

First, the model lineup is becoming more complex. Q3-pro, Q3-turbo, Q3-mix, Q3-drama, Q3-ad, Q2, Q1, S2, and specialized functions all serve different purposes. That gives experienced users flexibility, but it also means beginners need to understand which model matches their job.

Second, consistency is improved by reference workflows but should not be treated as a guarantee of perfect continuity. Vidu itself positions references as a way to maintain characters, objects, and scenes, while the practical quality of any generation still depends on the input and chosen workflow.

Third, pricing requires attention. Subscription credits have a 30-day validity period, while purchased and bonus credits have different validity rules. That is easy to overlook when comparing plans purely on monthly credit counts.

There is also an important difference between the consumer product and the API. The API is usage-based, with its own credit pricing and model-specific costs. That can be useful for developers, but it requires more planning than a simple creator subscription.

For commercial work, the API terms state that Vidu does not restrict use for commercial purposes, subject to compliance with the agreement and applicable rights. Consumer-plan rights can depend on the current plan and applicable terms, so commercial projects should check the exact terms attached to the account and workflow.

Who Should Consider Vidu AI?

Vidu is a natural fit for creators making short-form video, marketers developing product content, storytellers working with recurring characters, and developers who need video generation inside a product.

It is especially relevant when consistency matters. A single prompt can be enough for a quick clip, but Vidu becomes more interesting when you can provide references, keyframes, product imagery, or other visual anchors.

The current feature set also broadens its audience. Q3 is positioned around audiovisual storytelling, while S2 targets real-time digital-character and video-stream editing workflows. The API adds another layer for businesses that want to integrate generation into their own applications.

That does not make Vidu the right choice for every project. Someone who primarily wants a conventional editing suite rather than generative creation may need a different type of product. Likewise, users who rarely generate video may find the credit-based model more complicated than necessary.

For creators who regularly need generated video, however, Vidu has enough input modes and model variety to deserve a serious look.