AI image and video models are not human, but they do have distinct “personalities” according to the creators who use them. This new phenomenon is a response to the rapidly expanding generative AI industry and highlights how creators are managing a dizzying array of options.
Generative AI has experienced rapid growth over the past few years, but it wasn’t until 2025 that AI images, videos, and other generative media models began to gain traction. Just as chatbots redefined text generation, these creative AI models are transforming content creation and creative work, for better or worse.
Google and OpenAI have been leaders in the AI race for years. Before this year, they were known for: gemini and Chat GPT Chatbot. now, veo 3, nano banana and sora 2 It definitely puts the tech giant at the forefront of creative AI models. New AI innovation adobe This year, AI creative startups like Runway, Pika, and Luma also stepped up in the space.
Generative media has evolved from a niche product to a necessity as AI companies stay competitive in a crowded market. Companies are focusing on upgrading their AI models to maintain their edge and attract new users. Improvements typically include creating high-resolution, detailed content and, in the case of videos, including sound and extending the length of the clip. Illusions and errors disappear every time the model is updated, which is one of the reasons it’s becoming increasingly difficult. Identify AI-generated content.
In short, there have never been more options for creating AI content. When creators need to choose which model to use, the question is no longer which model will produce practical results. Now, it’s a debate about which one is best for a particular project or task. As a result, each AI model now has its own personality.
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Personalize and humanize AI tools
Creators use the term “personality” colloquially. AI models are not humans and therefore do not have personalities. The term actually refers to a model’s ability to handle a particular task and its reputation for excellence in a particular field. It also refers to the individual styles of each model at the baseline.
Tiffany Kyazze (@TechTiff), founder of AI Flow Club, which teaches people how to use AI tools, says, “Creators are humanizing these tools. They call them ‘creative tools’ or ‘detailed tools’ because they’re building real relationships with AI. It’s no longer just software.” “These personalities help creators build trust in their tools, overcome creative blocks, and ease their workflow.”
For creators who use AI tools on a daily basis, choosing the right model has become an integral part of the creative process, like choosing the right camera lens or paint brush.
“Each model represents a different interpretation of the world,” said Dave Clark, director and chief creative officer at AI production studio Promise AI. “Some models are stripped back and cinematic, while others are surreal or dreamlike.” “The key for me is knowing how to translate my creative vision into visual language prompts to achieve the artistry I desire.”
There is a learning curve required to discover the uniqueness of each model. Sometimes it’s not even determined by the company that creates it. It varies between images and videos and between different generations of the same model. Part of the reason is the way the model is created.
“Part of what you’re learning when you train your own model is at the end of the training process. You show the model a certain style, and the model overfits or adapts to that style to some extent and basically acquires a personality,” said Alexandru Costin, vice president of generative AI at Adobe. “So we see very opinionated models that do things like that. Other models try to be more neutral.”
The training data used to create and refine the models also plays a role in developing the baseline style for each model. For example, Adobe’s Firefly model was trained using licensed Adobe Stock images, so Firefly-generated content often looks stock-like. (Kostin said the company is working on fixing this issue to create more realistic output.)
What is the personality of each AI image and video model?
I’ve spent a lot of time working with these AI models, and the creators I talked to had similar thoughts and experiences with each model’s personality. Here are some of the personality traits of the most popular models.
- Google Veo3 (Video): Cinematic, natural movement, high quality
- flux (Video): Excellent realism, especially of human features.
- runway (Video): A complete creative studio. Perfect for those who want hands-on control.
- Sora (Video): Good for ideas and exploration. meme Sora social media app
- in the middle of a journey (Images and Videos): The most creative models. Perfect for artistic or stylized pieces.
- Google nano banana (Image): Most consistent text, suitable for e-commerce and social media work
- Adobe Firefly Image Model 5 (Image): Commercially safe results for professional work
You’ll notice that even chatbots have unique personalities. ChatGPT is known for its affectionate and personable tone (sometimes Annoyingly), Claude is the go-to research tool, and Gemini is a useful choice for Google users. However, different personalities of AI image and video models (style, aesthetics, innate preferences, etc.) are much more readily apparent.
With AI image and video generators, you can create almost any scene, but it’s not the “everything machine” that chatbots can achieve. Creators who use AI creative tools for professional work often need to leave certain content behind. It is important to understand the uniqueness of each model.
Advantages of using multiple models
While the idea of moving back and forth between AI models and programs may not seem appealing at first, there are benefits to expanding your AI roster.
Clark and his team used various AI models for a new short film he directed called “My Friend, Zeph.” This method of hybrid filmmaking, as Clark calls it, saw the team use AI tools like Adobe Firefly, Google’s Veo 3.1, and Luma’s Ray3, as well as Adobe’s traditional software like Photoshop and Premiere Pro.
“Blending multiple models gives you creative range and precision as if you had a team of specialists,” Clark said. “You can visualize the story world much earlier, iterate faster, and make stronger creative choices before going on set.”
Some creators are loyal to a particular AI tool or platform and are hesitant to branch out. This idea of AI loyalty is a bit misguided, Catze says. The creators who get the best results are those who are “tool-agnostic and goal-focused.”
“The real advantage of a multi-model workflow is that you don’t force everything into one tool. You can leverage the real strengths of each model. This is not only more efficient; you get better results because you use the right tool for each specific part of the project,” Kyazze said.
evolving personality
The concept of AI models with personalities is relatively new, with a recent proliferation of models available to creators. But they are not static labels. A model’s reputation and personality may change over time. New updates may improve models that are known to be terrible at certain tasks.
This trend is another sign of the growing role AI is playing in creative work. That doesn’t apply to all creators. There are many people who are against AI and don’t want to use it. But for those interested, there are no better options.
Creating a distinct personality in AI image and video models is one method or solution that allows you to choose the right tools to achieve better results without wasting a lot of time and money on suboptimal AI tools.
Although the generative media model has been greatly improved, it is still not perfect. Kyazze says wise workflow design is about adapting to the strengths and weaknesses of each model. It’s also important to remember that AI models are just tools, Clark says.
“The human expression of the artist – our individuality and creative perspective – is what truly determines the outcome,” Clark said. “This is not about replacing traditional processes, but expanding the possibilities and bringing imagination closer to the screen than ever before.”
(Disclosure: CNET’s parent company, Ziff Davis, filed a lawsuit against OpenAI in April, alleging that it infringed on Ziff Davis’ copyrights in training and operating AI systems.)
