AI video generation is changing the way creators produce animated content. Creating cartoon-style videos once required animation software, design skills, voice recording, editing, and a considerable amount of time. Today, AI video generators can handle much of this process from a simple prompt, image, or storyboard.

But generating a cartoon video is only part of the challenge. A good animated video needs consistent characters, expressive movements, accurate dialogue delivery, and proper understanding of the story.

In this article, we compare Seedance 2.5 and Google Omni across three practical tests:

• Text-to-Video
• Storyboard-to-Video
• Image-to-Video

The goal is to understand where each AI video generator performs best and which one may be more useful for creating cartoon animations.

Why Character Consistency Matters in AI Cartoons

When creating a normal AI video, small visual changes between shots may sometimes go unnoticed. Cartoon storytelling is different.

If the same character appears across several scenes, their face, hairstyle, clothes, proportions, and overall visual identity should remain consistent. Expressions also matter because cartoon characters depend heavily on exaggerated emotions and reactions.

Dialogue delivery is another important factor. If the character animation looks great but names or spoken words are incorrect, the scene can lose its impact.

This is why the comparison focuses on more than visual quality alone.

Test 1: Text-to-Video

The first test is straightforward: give both AI models the same text prompt and compare how accurately they interpret it.

Creating Text-to-Video with Google Omni

Google Omni can be used through Google Flow. After creating a new project, the prompt can be entered directly without uploading an image because the goal is pure text-to-video generation.

The workflow allows you to configure settings such as:

• Aspect ratio
• Video model
• Duration
• Number of generated videos

For the test, the video duration was set to 10 seconds.

Once the settings and prompt are ready, the generation can be submitted.

Creating the Same Video with Seedance 2.5

The same prompt was then tested with Seedance 2.5.

One important difference in the tested workflow is that details such as video duration, aspect ratio, model, and visual style need to be clearly specified inside the prompt.

For example, the prompt should clearly communicate that the required output is a 10-second video with a 16:9 aspect ratio using Seedance 2.5 and the desired animation style.

Text-to-Video Result

Both models followed the prompt successfully, but there was a noticeable difference in character design.

Seedance 2.5 produced a more appealing, energetic cartoon-kid style for this particular test. Google Omni also generated a good character design, but Seedance 2.5 came closer to the intended visual style.

Winner for character styling: Seedance 2.5

Test 2: Storyboard-to-Video

The second test is much more challenging.

Instead of giving the AI only a written prompt, a complete storyboard is provided. The storyboard represents what should happen throughout the scene, including character placement, actions, movements, and progression.

This is especially useful for creators who want greater control over AI-generated animation.

Storyboard-to-Video with Google Omni

In Google Flow, the storyboard can be uploaded as media and added to the prompt.

Instead of treating the storyboard as the exact starting frame, the workflow uses it as an ingredient or visual reference. The accompanying prompt then explains the required movements and scene progression.

Storyboard-to-Video with Seedance 2.5

The same storyboard and instructions were used with Seedance 2.5.

After analysing the prompt and generation requirements, the video was created and compared with the Google Omni result.

Storyboard Comparison

This test revealed one of the biggest differences between the two models.

Seedance 2.5 followed the storyboard more closely. The characters and frames stayed more faithful to what was visible in the supplied storyboard.

Google Omni also produced an impressive video, but it did not follow the storyboard quite as precisely.

However, Google Omni had two advantages.

First, its output showed fewer noticeable visual glitches in this particular comparison. Second, its generation was significantly faster, while Seedance 2.5 took considerably longer to complete the video.

So the result depends on your priority.

Storyboard accuracy: Seedance 2.5
Generation speed: Google Omni
Cleaner output in this test: Google Omni

Test 3: Image-to-Video

The final test focuses on one of the most useful workflows for cartoon creators: Image-to-Video.

Instead of allowing the AI to create everything from scratch, you first create a character image and then animate that exact image.

This method can make it easier to maintain character consistency across multiple scenes.

Creating an Image in Google Flow

The initial character image can be generated inside the AI workflow by switching from video generation to image generation and selecting the required aspect ratio, model, and number of images.

Once the preferred image has been created, it becomes the starting point for the animation.

Use Frames Instead of Ingredients

There is an important setting to understand when converting an existing image into a video.

When you want the animation to begin from the uploaded image itself, select Frames rather than Ingredients.

The reason is simple: the image isn’t merely being used as visual inspiration. It is the actual frame that you want the model to animate.

This distinction can have a major impact on character consistency.

How to Create Longer AI Videos While Keeping Characters Consistent

A common challenge is that individual AI-generated clips may have limited duration.

One practical solution demonstrated in the workflow is to divide a longer story into multiple scenes.

Suppose Scene 1 finishes after 10 seconds. Instead of generating Scene 2 independently, save or extract a suitable frame near the end of Scene 1.

That frame can then become the starting image for Scene 2.

There is one important detail: choose a frame where the important characters’ faces are clearly visible. If you use a frame where faces are hidden, the next generation may change their appearance.

The selected frame can be saved at high quality and reused as the starting frame for the next generation.

This creates a workflow like:

Generate Character Image → Create Scene 1 → Extract Final Suitable Frame → Use It for Scene 2 → Repeat

Using this approach, the test maintained strong character consistency across two separately generated clips.

Combining Multiple AI Video Clips

Once individual scenes have been generated, they can be combined into a longer sequence.

In the demonstrated workflow, additional clips can be added to the scene so that multiple short generations become one complete video. The final download can therefore contain the combined duration of all the scenes rather than being limited to a single short clip.

This is particularly useful for:

• Cartoon episodes
• AI short films
• Comedy videos
• Animated stories
• YouTube Shorts
• Instagram Reels
• Dialogue-based AI videos

Seedance 2.5 Image-to-Video Performance

Seedance 2.5 also performed strongly when an image was uploaded and animated using a detailed prompt.

The resulting video delivered good expressions and impressive camera movement.

However, one weakness appeared during Hindi dialogue generation.

Some character and pet names were pronounced incorrectly. For example, the generated dialogue altered specific names even though the rest of the speech was largely understandable.

This does not mean Hindi dialogue generation fails completely. The test showed that many Hindi words and sentences could still be generated effectively, but certain words and names caused pronunciation problems.

Seedance 2.5 vs Google Omni: Final Comparison

Which AI Video Generator Should You Choose?

There isn’t a single winner for every situation.

Choose Seedance 2.5 if your priority is character design, storyboard accuracy, expressive cartoon animation, and closely following a predefined visual sequence.

Choose Google Omni if you value faster generation, polished results, and a convenient workflow for rapidly creating and testing AI videos.

For serious AI cartoon creation, using both tools can also make sense. One model may perform better for a particular scene while the other may be stronger for another type of generation.

The comparison demonstrates that both tools are capable AI video generators, but they excel in different areas.

Final Thoughts

AI has dramatically lowered the barrier to creating cartoon animations.

You no longer necessarily need a complicated traditional animation workflow to experiment with characters, dialogues, expressions, camera movements, and complete animated scenes.

The key is choosing the right generation method.

Use Text-to-Video when you want AI to create a scene directly from an idea.

Use Storyboard-to-Video when you need greater control over storytelling and shot progression.

Use Image-to-Video when character appearance and consistency are especially important.

Based on these tests, Seedance 2.5 stands out for storyboard adherence and cartoon character styling, while Google Omni stands out for speed and clean generation. Instead of treating them as identical competitors, creators can choose between them according to the needs of each scene.

For AI filmmakers, animators, YouTubers, and content creators, both provide powerful new ways to turn simple ideas into animated videos.