Leonardo AI Video Models: Complete Guide to AI Video Models and Capabilities

Leonardo AI Video Models give you access to multiple AI video-generation tools, including Seedance, Kling, Veo, FLUX, MiniMax, and Motion.

Each model offers different capabilities for creating videos from text prompts, animating images, controlling motion, and generating audio.

But how do these models differ, and which one is best for your video projects?

This guide compares their features, supported workflows, generation capabilities, pricing, and limitations to help you choose the right model.

Key Takeaways

• Leonardo AI offers multiple video-generation models, including Seedance, Kling, Veo, FLUX, MiniMax, and Motion.
• Each model has different strengths in video quality, motion control, audio generation, and creative flexibility.
• You can create videos from text prompts, still images, and other supported references.
• The best model depends on your project requirements, such as cinematic storytelling, image animation, or faster video generation.
• Video generation consumes tokens, and availability, settings, and costs vary by model and subscription plan.

What Are Leonardo AI Video Models?

Leonardo AI video models are generative AI systems available inside Leonardo’s video-generation workspace.

They create or modify short video clips from text prompts, still images, and, depending on the model, additional video or audio references.

Leonardo is not limited to one video-generation engine. It brings together models from providers such as Google, Kling, MiniMax, ByteDance, Black Forest Labs, Lightricks, and Alibaba.

This gives creators the option to choose a model based on the type of scene, motion, sound, duration, and level of control they need.

That distinction matters: Leonardo AI is the platform, while many of the video models available through it are developed by other companies. Their capabilities, token costs, and access conditions can therefore differ.

Leonardo AI Video Models: A Quick Comparison

The following table highlights notable models currently listed in Leonardo’s video model catalogue.

Capabilities are based on Leonardo’s published model descriptions; exact output options can vary by model and generation settings.

Note: This is a practical selection of models, not an exhaustive list. Leonardo’s catalogue also includes variants such as Seedance 2.0, Kling 2.5 Turbo, Veo 3.1 Fast, Wan 2.6, LTX-2.3 Fast and Motion 2.0 Fast. The catalogue can change as providers release new models or Leonardo updates availability.

How Are Leonardo AI Video Models Organised?

The available video models can be understood by looking at their developers and the type of generation workflow they support.

Leonardo’s platform models and third-party models

Leonardo provides access to video models developed by external AI companies. For example:

• Google: Veo 3.1 and its variants.
• Kling: Kling 3.0, Kling 3.0 Turbo, Kling O3 Omni and earlier versions.
• MiniMax: MiniMax H3 and Hailuo 2.3.
• ByteDance: Seedance 2.5 and earlier Seedance models.
• Black Forest Labs: FLUX 3 Video.
• Lightricks: LTX-2 and LTX-2.3 variants.
• Alibaba: Wan 2.6 and Wan 2.7.
• xAI: Grok Imagine 1.5.

These models do not all use the same architecture or generation process.

Their strengths and supported inputs depend on the underlying provider and the version integrated into Leonardo.

Video generation workflows

The models also differ in how users provide input:

• Text-to-video: Generate a clip by describing the scene, subject, movement and camera direction.
• Image-to-video: Upload a still image and instruct the model to animate it.
• Video-to-video or video editing: Use an existing clip as a reference or starting point for changes, where supported.
• Reference-guided generation: Provide images, audio or other supported references to influence the output.

Not every model supports every workflow.

Check the selected model’s input options before building a project around a particular feature.

What Do Different Video Model Versions Mean?

Some video models are available in multiple versions, such as Fast, Turbo, Pro, Lite and Ultra.

These labels generally indicate different generation priorities, but their exact meaning depends on the model provider.

• Fast and Turbo: Usually prioritise shorter generation times or faster iteration.
• Pro: Often targets higher-quality output or more advanced capabilities.
• Lite: Typically offers a lighter generation option.
• Ultra: May provide a higher-end output or more advanced processing.

These labels are not universal technical standards.

Always compare the actual features, output settings and token costs of each variant before selecting one.

What Are the Main Leonardo AI Video Models and Their Capabilities?

1. Seedance 2.5 (Developer: ByteDance)

Seedance 2.5 is listed by Leonardo as a model for precise camera control, consistent scenes and editable videos, with generation durations of up to 30 seconds. It is particularly relevant when a project needs more than a single isolated visual moment.

Potential applications include:

• Short narrative sequences.
• Camera-controlled product scenes.
• Motion transfer and video editing.
• Social media and promotional content.

Leonardo’s model catalogue identifies Seedance 2.5 as a featured video model. Its exact editing and reference options should be checked in the generation interface.

2. FLUX 3 Video (Developer: Black Forest Labs)

Seedance 2.5 is listed by Leonardo as a model for precise camera control, consistent scenes and editable videos, with generation durations of up to 30 seconds.

It is particularly relevant when a project needs more than a single isolated visual moment.

Potential applications include:

• Short narrative sequences.
• Camera-controlled product scenes.
• Motion transfer and video editing.
• Social media and promotional content.

Leonardo’s model catalogue identifies Seedance 2.5 as a featured video model. Its exact editing and reference options should be checked in the generation interface.

2. FLUX 3 Video (Developer: Black Forest Labs)

FLUX 3 Video focuses on high-quality video generation with synchronized audio and strong prompt adherence. Leonardo describes support for clips of up to 20 seconds.

It is worth considering for:

• Multi-scene storytelling.
• Clips that need synchronized sound.
• Longer visual sequences.
• Projects where the prompt needs to guide both action and audio.

Leonardo also describes FLUX 3 Video as supporting continuation of an existing clip, carrying elements such as motion, camera movement, dialogue and audio across the transition.

3. MiniMax H3 (Developer: MiniMax)

MiniMax H3 is presented as MiniMax’s flagship video model, with native audio and multimodal references.

Leonardo’s guide describes support for 2K video, stereo audio, and text, image or audio guidance, including start- and end-frame control.

This makes it relevant to projects where the visual and audio elements need to be developed together, such as:

• Product and brand teasers.
• Fashion or lifestyle videos.
• Character-based scenes.
• Clips involving dialogue, ambience or music.

The output settings and available resolutions may depend on the selected generation mode.

4. Kling Video 3.0 and Kling 3.0 Turbo (Developer: Kling)

Kling’s video models are designed for cinematic generation and greater control over scenes.

Leonardo lists Kling Video 3.0 as supporting longer videos with audio and stronger visual consistency. Kling 3.0 Turbo is positioned as a faster option for creating drafts from prompts and images.

Leonardo’s published guide describes Kling 3.0 as supporting videos up to 15 seconds and multi-shot generation with up to six camera cuts.

It also describes native bilingual dialogue. Turbo is presented as a faster option for rapid iteration.

Consider these models for:

• Multi-shot storytelling.
• Cinematic scenes.
• Concept development.
• Short-form promotional videos.
• Projects that need dialogue or multiple camera angles.

5. Kling O3 Omni (Developer: Kling)

Kling O3 Omni is listed in Leonardo’s catalogue as a video model that can use image references.

Leonardo’s broader guide describes the Kling Omni family as combining generation and video-editing workflows, with an emphasis on maintaining consistency across characters, props and scenes.

It may be useful when you want to:

• Guide a scene using visual references.
• Maintain the appearance of a character or object.
• Modify elements in an existing generated clip.
• Develop a sequence with a more consistent visual identity.

Do not assume every editing feature works with every uploaded video. Leonardo’s guide notes that some editing workflows are limited to content generated within its app.

6. Google Veo 3.1 (Developer: Google DeepMind)

Veo 3.1 is Google’s video-generation model available through Leonardo. It focuses on visual quality, prompt adherence and native audio.

Leonardo also lists Veo 3.1 Fast and Veo 3.1 Lite as separate options.

Potential use cases include:

• Product advertisements.
• Cinematic scenes.
• Corporate videos.
• Visual storytelling with sound.
• Scenes that require more control over the opening and closing frames.

The Fast and Lite variants are intended for different speed and cost trade-offs. Exact resolution, duration and audio options depend on the variant and settings selected.

7. Hailuo 2.3 and Hailuo 2.3 Fast (Developer: MiniMax)

Hailuo 2.3 is positioned around affordable, high-quality video generation and style execution.

Its Fast variant is designed for quicker generation, with an emphasis on lifelike motion and prompt adherence.

It can be considered for:

• Character animation.
• Dynamic movement.
• Stylized scenes.
• Early creative drafts.
• Short social media clips.

Leonardo’s guide highlights Hailuo 2.3 for dynamic action and fluid motion, including scenes involving dancing or other physical movement.

8. Wan 2.7 and Wan 2.6 (Developer: Alibaba)

Wan is another video model family available through Leonardo.

Wan 2.7 is described in the catalogue as offering improved motion smoothness, scene fidelity and visual coherence.

Wan 2.6 supports text-to-video, image-to-video and reference-to-video workflows, along with multi-shot scene generation and optional background audio.

These models are worth exploring for:

• Prompt-based video generation.
• Animating still images.
• Reference-guided scenes.
• Multi-shot creative projects.
• General-purpose video experimentation.

Wan 2.6 and Wan 2.7 should not be treated as interchangeable: the listed features and generation options differ by version.

9. LTX-2 and LTX-2.3 (Developer: Lightricks)

Leonardo lists LTX-2 Ultra, LTX-2.3 Pro and LTX-2.3 Fast.

The catalogue describes LTX-2 Ultra as a studio-oriented model with 2K output, while LTX-2.3 Pro focuses on sharper video and improved motion with audio generation. The Fast version prioritizes quicker generation.

These variants may suit:

• Cinematic sequences.
• B-roll and establishing shots.
• Creative projects requiring audio.
• Faster concept previews.

Choose the specific version according to the output quality and speed requirements shown in Leonardo’s interface.

10. Motion 2.0 and Motion 2.0 Fast (Developer: Leonardo.Ai)

Motion 2.0 is part of Leonardo’s own Motion model family.

It is designed for video generation with fine-tuned controls, while Motion 2.0 Fast provides a quicker option for creating previews and testing ideas.

It can be useful for:

• Animating images.
• Testing camera movement.
• Creating short loops.
• Developing social media visuals.
• Exploring motion before committing to a final version.

Motion 2.0 is also among the video models that Leonardo lists as eligible for relaxed generation on its Ultimate plan, subject to the plan’s conditions.

11. Grok Imagine 1.5 (Developer: xAI)

Grok Imagine 1.5 is listed in Leonardo’s catalogue as a model for creating cinematic scenes from still images, with motion, cinematic detail and sound.

It is relevant when you already have a visual and want to explore how it could look as an animated scene.

For example, a creator could start with a product image or landscape illustration and use a prompt to describe the movement and atmosphere.

Its exact input options and output settings should be checked in the model selector before generation.

Text-to-Video vs Image-to-Video: What’s the Difference?

Leonardo supports different video-generation workflows, but the available options depend on the model.

For example, if you want to create a video of a car driving through a rainy city, text-to-video can generate the scene from a description.

If you already have a specific car image and want to preserve its appearance, image-to-video may be a better starting point.

Reference-guided and video-editing workflows are model-dependent. Always check which input types the selected model accepts.

Which Video Models Support Different Input Methods?

Not every Leonardo video model accepts the same inputs. Some focus on text-to-video generation, while others support image references, start and end frames, audio inputs or existing video clips.

Before choosing a model, check whether it supports the input method your project requires.

For example, if you want to animate an existing product image, select an image-to-video model rather than one designed primarily for text prompts.

If you need to modify an existing clip, look for a model with compatible video-editing capabilities.

How to Choose the Best Leonardo AI Video Model?

There is no single model that is best for every video project. The right choice depends on what you want to create and how much control you need.

These are starting points based on Leonardo’s published model descriptions, not a guarantee that one model will outperform another for every prompt.

Testing the same prompt across two or three suitable models is often more useful than relying on a model name alone.

How to Maintain Consistency in AI-Generated Videos?

Maintaining the same character, product or visual style across multiple clips can be challenging because video models may interpret each generation differently.

To improve consistency:

• Use the same reference image when the model supports image references.
• Keep character descriptions, clothing and visual details consistent across prompts.
• Describe the camera angle, lighting and environment clearly.
• Use start and end frames when available to guide transitions.
• Choose models that offer reference-guided generation or scene-consistency features.

For multi-scene projects, test the same character or product across several generations before producing the complete sequence.

How to Generate a Video in Leonardo AI?

You can create a video through Leonardo’s video-generation workspace.

The exact controls may differ depending on the model you select.

1. Open Leonardo AI: Sign in to your account and navigate to the video-generation tool.
2. Choose a video model: Open the model selector and review the available options.
3. Select an input method: Choose text-to-video, image-to-video or another supported workflow.
4. Write your prompt: Describe the subject, setting, action, camera movement, lighting and atmosphere.
5. Adjust generation settings: Select the available duration, aspect ratio, quality or audio options.
6. Generate the video: Review the result and make changes to the prompt or settings if necessary.
7. Download or refine: Save the result or use another supported model or editing workflow to improve it.

What Settings Can You Control When Generating Videos?

Leonardo’s video-generation settings depend on the selected model, but common options may include:

• Aspect ratio: Determines whether the video is landscape, portrait or square.
• Duration: Controls how long the generated clip runs.
• Resolution: Determines the output’s visual dimensions.
• Motion controls: Influence how subjects, objects or the camera move.
• Audio: Enables sound generation when supported by the model.
• Start and end frames: Help guide how a video begins and finishes on compatible models.

Not every model supports all these controls. Available settings and generation limits can vary by model and subscription plan. How to write better video prompts?

A useful video prompt should describe not only what appears in the scene, but also what happens over time.

For example:

Basic prompt:

A sports car driving on a road.

More descriptive prompt:

A silver sports car drives along a winding mountain road at sunrise. The camera follows from a low rear three-quarter angle as the car accelerates through a gentle turn. Warm sunlight reflects across the bodywork, with realistic wheel movement and a cinematic tracking shot.

The second prompt gives the model more direction about the subject, action, camera position, lighting and movement. However, a detailed prompt does not guarantee that every instruction will be followed exactly.

Is Leonardo AI Video Generation Free?

Leonardo offers a free plan with 150 daily Fast Tokens.

Free accounts have automatic model access rather than the full model-selection options available to paid subscribers.

Video generation is available, but each generation consumes tokens according to the model and settings used.

The current individual plan prices displayed on Leonardo’s pricing page are:

Prices shown on Leonardo’s pricing page; taxes may apply. Billing options and prices can change.

Which plan supports unlimited video generation?

Leonardo’s Ultimate plan includes relaxed video generation for selected models after the standard token pool is used. The currently listed eligible models are:

• MiniMax H3 in supported 480p modes.
• Wan 2.6.
• Hailuo 2.3 and Hailuo 2.3 Fast.
• Motion 2.0 and Motion 2.0 Fast.

Relaxed generation does not mean every video model becomes unlimited.

Models running through external providers, including Veo, Kling and Seedance, are excluded from this benefit and continue to consume tokens per generation. Relaxed generation also runs at a lower priority, so waiting times may be longer.

What Are the Limitations of Leonardo AI Video Models?

AI video generation can produce useful creative material, but it still has limitations. Results depend on the model, prompt, reference inputs and generation settings.

Common issues to consider include:

• Inconsistent details: Characters, clothing, products or backgrounds may change between frames.
• Unnatural movement: Fast actions and complex physical interactions can produce visual distortions.
• Prompt interpretation: A model may overlook or reinterpret parts of a detailed prompt.
• Audio limitations: Audio quality, synchronization and available controls differ between models.
• Limited creative control: Camera movement, timing and scene transitions may not follow instructions precisely.
• Token consumption: Video generation can use substantially more tokens than a single image because it requires processing multiple frames.
• Model availability: A provider can update, replace or remove a model from Leonardo’s catalogue.

For professional work, review the complete clip rather than judging it from a single frame. Check faces, hands, text, product details, movement and audio synchronization before publishing.

Leonardo AI Video Models vs Image Models

Image models and video models serve different purposes, even when they are used together in the same project.

A practical workflow is to create or refine a still image first, then animate it using a suitable image-to-video model. This can help establish the subject’s appearance before adding movement.

Final Thoughts

Leonardo AI video models give creators access to multiple video-generation systems through one platform.

From Seedance 2.5 and FLUX 3 Video to Kling, Veo, MiniMax H3 and Motion 2.0, each option has different strengths in motion, scene consistency, audio and creative control.

The best approach is to start with your intended output, select a model that supports the required workflow, and test a few generations before committing to a final result.

Since Leonardo’s catalogue and plan benefits can change, check the model selector and official pricing page before starting a larger project.

Frequently Asked Questions (FAQs)

1. What are the best Leonardo AI video models?

There is no universally best model. Seedance 2.5 is worth exploring for camera control and consistent scenes, FLUX 3 Video for longer clips with synchronized audio, MiniMax H3 for multimodal generation, and Kling 3.0 for cinematic multi-shot videos. The best option depends on your project.

2. Does Leonardo AI support text-to-video generation?

Yes. Leonardo supports text-to-video generation through compatible models. You can describe a scene in a prompt, select a model that supports text input, and generate a video from that description.

3. Can Leonardo AI turn an image into a video?

Yes. Compatible models support image-to-video generation. You can provide a still image and describe the movement or action you want to see. The available image-reference controls depend on the selected model.

4. Is Leonardo AI video generation free?

Leonardo has a free plan with 150 daily Fast Tokens, and video generation is available. However, the number of clips you can create depends on the token cost of the selected model and its settings.

5. Which Leonardo AI video models support audio?

Audio support varies by model. Leonardo describes native or synchronized audio capabilities for models including FLUX 3 Video, MiniMax H3, Veo 3.1 and Kling 3.0. Check the selected model’s settings for the exact audio options available.

6. Does Leonardo AI offer unlimited video generation?

Yes, but only for selected models on eligible plans. Leonardo’s Ultimate plan includes relaxed video generation for specific models such as Wan 2.6, Hailuo 2.3 and Motion 2.0. Other models, including several third-party options, continue to consume tokens.

Also Read –

Leonardo AI: What It Is and How It Works? Features, Tools & Models

Leonardo AI Models: Complete Guide to Models & Capabilities

Is Leonardo AI Free? Free Plan, Limits, Tokens & Paid Features