AI is now a core part of how visual content gets made. Whether you run a startup or work in marketing, there's a good chance you already use these tools every week.
There are also more of them than ever. General-purpose assistants like Gemini and ChatGPT now generate images, and video specialists like Veo, Runway and Kling are improving quickly. So choosing between them has gotten harder.
AI image and video generation models differ in how well they follow prompts, output quality, how much control they give you, speed and cost. No single tool is right for everyone. Each one does certain jobs better than others, depending on your project and the kind of visuals you need.
In this guide from Designar AI, we go through the biggest models out there and look at each one's strengths, limits and best use cases, so you can work out which tool fits your needs.
How Do You Choose the Right AI Model for Images and Video?
If you want realistic product shots or ad campaign images, look for models with a high level of detail and realism that handle precise descriptions well.
For video, check whether the model keeps motion smooth, keeps objects stable and keeps characters consistent from frame to frame.
Models also differ in how they handle text inside images, long instructions, editing existing images and matching a specific visual style. One model might be great for an ad or a product photo, while another is better for a story-driven scene or a short video.
You can rate any model on 5 core criteria:
- Image quality
- Video quality
- Prompt understanding
- Ease of use
- Cost
Use these criteria to choose the right tool instead of going by popularity alone. The best image generation models are the ones that score well on as many of these as possible.
What's the Difference Between Image and Video Generation Models?
Image generation models create new images from a text description or by editing an existing image. You can use them for product photos, ads, social posts, illustrations and realistic scenes.
Video generation models have to handle an extra element: motion. A convincing video clip has to keep the scene consistent across many frames and get the movement of people, objects and the camera right, which makes the task much harder.
The most common types right now are text-to-image, text-to-video and image-to-video. Some models now combine several of these in one interface.
The Top AI Image Generation Models
Image generation is improving fast. In 2026, some models can produce realistic photos and creative designs from a short description. These are among the strongest options today.
Google Gemini and Imagen
Google offers several image generation technologies within the Gemini ecosystem, including the Gemini Image models and Imagen, which specializes in highly realistic images.
The latest Gemini Image models can create and edit images and handle text inside images better than before.
You get Gemini's strong grasp of instructions and context, while Imagen focuses on turning text descriptions into images.
This ecosystem suits people who want to go from a written idea to finished visuals in one place, though available features vary by product, version and region. It's one of the top AI image tools available today.
It's worth separating Gemini, a general-purpose assistant, from Imagen, a dedicated image generation model. The two may work together depending on which Google service you use.
OpenAI Image Models
OpenAI offers GPT Image for creating and editing images. It accepts images as input and output, supports downloads in multiple sizes, and follows instructions and edits images better than earlier versions.
In April 2026, OpenAI released ChatGPT Images 2.0, with better text rendering, wider language support and stronger handling of complex images.
One of its biggest strengths is understanding complex descriptions and handling step-by-step edits. For example, you can start with a rough idea and then add details about style, composition or what appears in the image. That makes it a good fit for visual brainstorming, marketing content and early design drafts.
Midjourney
Midjourney is a dedicated AI image platform with a wide range of controls and customization through prompts and parameters. It's especially good for visual concepts, art direction and creative scenes.
It's known for the quality of its visuals and its clearly artistic style. Designers and content creators use it to develop visual ideas, create artistic scenes and explore product and campaign concepts.
Its main strength is its output quality and range of styles. New users may need some practice before they find the prompts that get the result they want.
Adobe Firefly
Firefly is a full creative platform that uses AI to generate and edit images, video, audio and vector graphics. It now also gives access to models from Adobe and other companies, so it works more like a multi-model creative workspace than a single model.
Because it's part of the Adobe ecosystem, Firefly is a natural choice for designers who already use Photoshop, Illustrator and other Adobe tools.
It's easy to use for creating images, editing elements and developing visual ideas as part of a design workflow. It suits people who want to combine AI generation with hands-on editing.
In 2026, Adobe also added Custom Models, trained on your own images, so you can keep a reusable visual style.
The Top AI Video Generation Models
AI video production is much more advanced now, with models that can create moving scenes from a text description or a single still image.
Google Veo 3.1
Veo 3.1 is built for video generation. It creates video from text or images and can generate synced audio to go with it, with a focus on realism and motion quality. It also understands scenes, movement and detailed instructions well.
Use it for ad scenes or creative clips. It's available within the Google ecosystem, depending on which services and versions you have access to.
Runway Gen-4.5
Runway is a dedicated AI video platform that supports text-to-video and image-to-video, with a focus on motion quality, following instructions and visual control.
It offers a set of AI tools for creating and editing video and is aimed mainly at content creators, designers and producers.
Its biggest strength is combining generation and editing in one place, so you can keep refining a clip instead of settling for the first result.
Kling AI
Kling is a dedicated image and video generation platform that keeps improving its multimodal models. Its latest versions are good at keeping characters and objects consistent across scenes, and they also handle image-to-video and cinematic content.
Kling focuses on realistic video from text and images, with particular attention to how objects and scenes move.
Use it for ads, short clips and animating still images when realism and motion matter most.
Pika
Pika is an AI video platform known for tools and effects that turn images into animated clips and add visual effects quickly and simply.
Its simple tools make it easy to create short clips and test creative ideas, which suits content creators who want to try a lot of ideas fast. Paid plans include commercial use.
| Tool | Best For | Images | Video | Standout Feature | Best Use | Typical User |
|---|---|---|---|---|---|---|
| GPT Image | General images and editing | ★★★★★ | — | Following instructions and editing images | Creating and editing marketing images and new visual ideas | Entrepreneurs and content creators |
| Gemini Image / Imagen | Realistic images and text in images | ★★★★★ | — | Understanding context, handling text in images, Google integration | Images with text built into the design | Marketers, designers, everyday users and startups |
| Veo 3.1 | Video | — | ★★★★★ | Video with audio, realistic scenes and motion | Video production | Content creators and marketers |
| Midjourney | Creativity and art direction | ★★★★★ | — | Artistic styles, quality and creative flair | Creative ideas and styles | Designers and creative content creators |
| Adobe Firefly | All-in-one creative work | ★★★★★ | ★★★★☆ | Images, video and design integrated with Adobe apps | Producing marketing assets in many formats | Businesses and professional design teams |
| Runway Gen-4.5 | Professional video | ★★★★☆ | ★★★★★ | Control and motion, generation plus editing | Advanced video | Professional video creators and content agencies |
| Kling AI | Video and characters | ★★★★☆ | ★★★★★ | Consistency across scenes, realism and motion | Characters and animated scenes | Video creators and advertisers |
| Pika | Quick video and effects | ★★★★☆ | ★★★★☆ | Ease of use | Quick clips and effects | Video creators and social media users |
Pros and Cons of AI Models: What to Watch Out For
Output quality still depends on two things: the model you use and how you write your prompts. That's true for AI image tools and AI video tools alike.
Prompt understanding is one of the biggest factors. Some models handle long, detailed instructions well, while others do better with short, direct prompts.
Consistency comes next, especially when a campaign needs multiple images of the same character or product. Models vary in how well they keep details the same from one result to the next.
Text inside images sometimes needs checking. If your design is in Arabic or includes precise information like prices, names or data, a person needs to review it carefully.
Commercial usage rights matter too. Before you use any image or video in an ad, product or brand identity, check the terms of the platform and plan you're on, because rights vary between services.
Most platforms allow commercial use of outputs under their terms and plans, but rights and restrictions differ from tool to tool.
Owning the output under a platform's terms doesn't necessarily give it the same legal protection as work made by a person. It also doesn't remove your responsibility to make sure you aren't infringing anyone's rights, since these models may be trained on original material owned by real people or companies.
| Criterion | Why It Matters | |
|---|---|---|
| Output quality | Determines whether content is ready to publish | |
| Prompt understanding | Means fewer regenerations | |
| Consistency | Essential for campaigns and brand identities | |
| Motion quality | Critical for video production | |
| Arabic support | Important for content aimed at Arabic-speaking audiences | |
| Cost | Helps you pick the right option for your budget |
Which Model Is Right for You?
Startup founders who need product photos or ad campaign images may be best served by image models that give high quality and allow quick edits.
Video-first businesses should look for a model built for motion and scene continuity, such as Veo, Runway or Kling, rather than an image-only tool.
Professional designers usually care more about output control and integration with their design tools, so ecosystems like Adobe Firefly may suit them better.
You can also use multimodal AI assistants like Gemini or Claude for research, brainstorming and writing prompts, then move to a specialized model or platform to carry them out and get better images or video.
If your audience is Arabic-speaking, test the tool in Arabic before making it part of your daily workflow. It isn't enough for the tool to understand an Arabic prompt. It also has to produce good results when the design includes Arabic text.
FAQ
What's the best AI image generation model?
No single model fits every use. Results depend on the type of image, the level of realism and how much control you need. For marketing images and precise edits, try GPT Image or Gemini Image. For video, Veo, Runway and Kling are better fits. Midjourney stands out for visual exploration and creative styles.
What's the best AI video generation model?
It depends on the kind of video you need. Veo, Runway, Kling and Pika are among the top options, and they differ in motion quality, realism, control and ease of use.
Can AI-generated images and videos be used commercially?
Most major platforms allow commercial use of outputs under their terms and plans, but rights and restrictions vary by tool. Owning the output under a platform's terms doesn't necessarily give it the same protection as human-made work, and you're still responsible for making sure you aren't infringing anyone's rights.
Do AI models support Arabic?
Arabic support varies from model to model, especially for writing Arabic text inside images or following long Arabic prompts. Test any model in Arabic before using it on a project that depends on Arabic content.
For this, we recommend trying the Arabic platform Designar AI, which offers practical tools for producing images and generating video at a professional level.
Can you turn an image into a video with AI?
Yes. Many models and tools can do it. Upload an image as a starting point, then describe the motion or scene you want in a detailed text prompt.
The Bottom Line: Is There One Model for Everyone?
The official sources for these image and video models make it clear that no single model has every feature or wins in every area.
Some tools are best at creative images and illustrations, others at realism, and others at video and motion. General-purpose models like Gemini and Claude are most useful for understanding ideas, planning and writing prompts.
So the right choice starts with what you need. Decide what kind of content you want to make, how much control you need, your budget and your commercial usage requirements. Then test a few models before you commit.
If you want an easier way to go from idea to finished visuals, try Designar's tools and see what they can do for images, video, design and consistent AI-generated creative content.
Written by: The Designar Team©
Sources:
- OpenAI Developers
- Google DeepMind – Gemini Image
- Google DeepMind – Veo
- Adobe Firefly
- Midjourney
- Adobe Blog
- Pika
- Kling AI