Which AI Video Generation Model Should You Choose? NadouPro Guide Across Six Dimensions

The same prompt can produce completely different visuals in different video models. Some models are good at reproducing realistic light and shadow, some excel at exaggerated motion, some can generate multiple shots in one go, and others focus on ultra-fast output. Choose the wrong model and, at best, you repeatedly regenerate and waste Beans; at worst, the style of the entire video goes off track.

This article breaks down the core differences among mainstream video generation models in 2026 into five selection dimensions, and gives the best-fit scenarios for each model on the NadouPro platform. You do not need to memorize every model parameter. As long as you can match the model to your own creative needs, you can choose the right one.

First clarify: what kind of video are you actually making?

Before choosing a model, answer five questions. Your answers will directly determine which model capabilities you should focus on:

• Video type: an ad, narrative short film, e-commerce showcase, or animated series all have completely different requirements for visual texture and motion style

• Starting material: do you only have an idea, meaning pure text, or do you already have one image, multiple reference images, or even existing video footage?

• Continuity requirements: is it a standalone single-shot image, or a continuous narrative where characters need to stay consistent across shots?

• Shot planning: is it a One-Take Video, or do you need shot groups with multiple camera positions and shot sizes?

• Post-production needs: does the finished video need dialogue, sound effects, and music, and does the image need to be refined to 4K for delivery?

Once you have answered these five questions, the selection dimensions below are simply a matter of matching.

Dimension 1: input method determines the creative starting point

Video generation models in 2026 generally support three types of input. The richer the supported inputs, the greater the creative freedom:

Pure text generation. You enter a text description, and the model directly produces a video. This is suitable for the earliest stage of a project, when you do not yet have any visual material, and for quickly validating whether an idea is worth continuing.

Image-driven generation. You give the model a static image as the first frame or last frame, and the image “comes to life.” This is suitable when you already have design drafts, product images, or concept art, ensuring that the generated video stays consistent with your existing visual assets. First/Last Frame mode can also provide both a starting image and an ending image, letting the model fill in the transition between them.

Multimodal reference input. You provide the model with multiple reference images at the same time. Character appearance, scene atmosphere, and action examples can all serve as reference sources, and the model combines these references during generation. This is currently the input method with the strongest consistency, and it is the main approach for creating continuous narrative content.

NadouPro's Video node turns all of these input types into ready-to-use modes: Text to Video, First/Last Frame, Multi-reference, and Motion Control. You can switch as needed without moving assets back and forth between different tools.

Dimension 2: prompt following

Prompt following measures whether a model can accurately execute your instructions: whether camera movement, the main subject, lighting atmosphere, and scene details all follow what you wrote. With a model that has strong prompt following, changing one word will change the image accordingly; with a model that has weak prompt following, it may only recognize three out of ten sentences you write.

The evaluation method is straightforward: generate once in each candidate model using the same description, and focus on whether the things you requested appear and whether things you did not request appear randomly. Pay special attention to complex instructions, such as “the camera slowly tracks from left to right while the character walks toward the window.” Requirements that include both camera movement and character action at the same time are the best test of a model's understanding.

In NadouPro, Seedance 2.5 and Seedance 2.0 stand out in instruction following, making them suitable for narrative content that needs precise control over the image. For action-oriented visuals that need stronger dynamic expression, you can try Happy Horse 1.1. For regular production with better cost efficiency, MiniMax H3 is a safe choice.

Dimension 3: motion quality and consistency

Motion quality looks at whether the image moves naturally after generation: whether character movements clip through objects, whether physical motion feels intuitive, whether camera movement is smooth, and whether the image is coherent from beginning to end. Consistency goes one step further: whether the same character looks the same in different shots, and whether clothing, hairstyle, and accessories secretly change.

These two factors are the lifeline of narrative content. A 30-second short film may need to be split into more than a dozen shots. If a character's face changes in just one shot, the entire film can fail. The solution is to use Multi-reference input to lock the character appearance, feeding the model with the character's three-view sheets and key expressions as reference sources. Generate shots from the same scene with the same model as much as possible to avoid style drift between different models.

NadouPro's Multi-Grid tool can first generate character three-views and a Character Expression 9-Grid, then turn these approved assets into reference sources for all subsequent shots, controlling consistency from the source.

Dimension 4: native audio capability

Early video models only produced images without sound, leaving sound effects and dialogue entirely to post-production. Mainstream models in 2026 have begun to output native audio: dialogue, ambient sound, and action sound effects in the image can be generated in sync with the visuals, and lip movements can match the lines.

The value of native audio is that it eliminates an entire post-production process. Narrative content with dialogue, scenes that need environmental atmosphere, and fast-paced commercials can all move from “generate visuals first, then dub” to “generate complete audio and video in one pass.” On the NadouPro platform, Seedance 2.5, Seedance 2.0, Kling 3.0 Omni 4K, Happy Horse 1.1, MiniMax H3, and Veo 3.1 all support audio-video synchronized generation. When you need separate high-quality voice dubbing, there is also NadouTTS, with natural voices and rich styles.

Dimension 5: multi-shot and camera movement control

Single-shot generation cannot solve narrative needs on its own. A complete film needs multiple shots edited together. Multi-shot models can generate coherent images with multiple shot sizes and angles at once, saving the work of generating shot by shot and then stitching them together.

Camera movement control determines whether you can accurately execute a storyboard: Dolly In/Out, Pan Left/Right, tracking, Orbit, and following. Whether these forms of cinematic language can be accurately executed by the model directly determines the “director's feel” of the final video. In NadouPro, Seedance 2.0 and MiniMax H3 support generating multiple shots at once, producing several coherent shots in one pass. For more precise camera position control, you can use 3D Director for visualized character blocking and a multi-camera timeline, with support for exporting videos up to 90 seconds, which is like taking back control of studio blocking.

Dimension 6: resolution and duration

Resolution and duration determine where the finished video can be used. Vertical content for social media does not have high resolution requirements, but commercial delivery, large-screen playback, and film or television projects usually require 4K. You should also pay attention to the maximum duration of a single generation: if the single-shot limit is short, you either need to accept multi-segment stitching or choose a mode that supports long-shot output.

On the NadouPro platform, Kling 3.0 Omni 4K and Seedance 2.0 support 4K output, and Veo 3.1 also supports 4K audio-video synchronization. Seedance 2.0 mini focuses on ultra-fast output, making it suitable for stages that require rapid creative trial and error. Generated visuals can also be further improved in resolution and smoothness with Frame Interpolation / Ultra HD to meet delivery-level requirements.

Choose models by creative scenario: quick reference for the NadouPro platform

Applying the dimensions above to specific scenarios, model selection among the nearly 30 models on the NadouPro platform can be matched as follows:

Creative scenario	Recommended model	Reason for recommendation
Narrative short films that need character consistency	Seedance 2.5	Audio-video synchronization plus versatile reference support, with strong character locking
4K commercial delivery and multimodal input	Kling 3.0 Omni 4K	Audio-video synchronization and support for multimodal input
Multi-shot ads with budget sensitivity	MiniMax H3	Generates multiple shots at once, supports audio-video synchronization, and offers strong cost efficiency
High-quality multi-shot narrative	Seedance 2.0	4K audio-video synchronization and high-quality multi-shot output
Action scenes and highly dynamic visuals	Happy Horse 1.1	Audio-video synchronization with stronger dynamic expressiveness
Fast iteration and creative validation	Seedance 2.0 mini	Ultra-fast output that lowers the cost of trial and error

It is important to emphasize that NadouPro integrates multiple leading models into the same platform. This means you do not need to switch back and forth between multiple websites or top up separate accounts. Within the same creative pipeline, one shot can use a model that excels at action, the next shot can use a model that excels at dialogue, and everything can be completed on one canvas.

The right way to write prompts: write them like shot notes

After choosing the right model, the way you write prompts determines the upper limit of the final result. Here are three proven methods:

Write prompts as shot notes, not prose. Models execute structured descriptions such as “shot size + camera movement + subject action + lighting atmosphere” most accurately. Take a typical scene as an example:

High-angle aerial shot, waves crashing against rocks, spray breaking into white foam, low-angle morning sunlight, cinematic quality, slow Dolly In

For another example, a complete multi-shot sequence can be written shot by shot:

Shot 1: Full Shot, a motorcycle drives toward the camera from far away across a snowy field, snow spraying up; Shot 2: Medium Shot tracking follow, the rider leans into a turn, the bike tilts, and snow mist rises; Shot 3: Close-Up, details of the tire rolling over snow, slow motion

Use reference images to lock appearance and action. No matter how precise a text description is, it is not as intuitive as a reference image. Character clothing and accessories, the color tone and atmosphere of a scene, and the posture and range of an action should all be provided as reference images whenever possible. The model's execution accuracy will be significantly higher than with pure text.

Change only one variable at a time. When you are not satisfied with the result, do not rewrite the entire prompt at once. Instead, adjust only one element each time: change the camera movement, adjust the lighting, or switch the shot size, while keeping everything else unchanged. This lets you clearly identify which change caused the effect, helping you build your own parameter-tuning experience.

Frequently asked questions

Q: If I am using NadouPro to make a video for the first time, which model should I start with?

Start with Seedance 2.5 or MiniMax H3. The former has strong all-around capabilities and is suitable for most narrative scenarios; the latter offers strong cost efficiency and mature multi-shot capability, making it suitable for practice and batch experimentation. Once you are familiar with them, switch to other models based on the scenario.

Q: Can I use multiple models in the same video?

Yes, and this is exactly the advantage of platform-based creation. NadouPro's canvas workflow allows different shots to use different models. For example, action scenes can use a model with strong dynamic expressiveness, while dialogue scenes can use a model with precise audio-video synchronization, and the final film can be assembled in the same project. Try to use the same model for adjacent shots within the same scene to reduce style drift.

Q: What should I do if a character is inconsistent across shots?

First use the Multi-Grid tool to generate final character three-views and a Character Expression 9-Grid, then use these approved assets as reference sources and generate all subsequent shots in Multi-reference mode. When key elements such as character clothing and hairstyle are clearly visible in the reference images, consistency will improve significantly.

Q: If the generated result is unsatisfactory, is it a model problem or a prompt problem?

Both are possible. Use elimination to judge: generate again with the same prompt in another model. If the new model performs normally, the original model is not suited to this scenario. If both models go off track, the problem is most likely in the prompt. Check whether shot size and camera movement descriptions are missing, or whether too many conflicting requirements have been packed into one prompt.

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