AI image generation has crossed a threshold in 2026. The outputs are indistinguishable from professional photography, and the tools are fast enough to be part of a real creative workflow. But with so many model choices and so many ways to approach a prompt, it can be hard to know where to start.
This guide walks you through everything: which model to pick, how to structure a prompt, how to iterate efficiently, and how to keep your brand visuals consistent across dozens of images.
Which AI Image Model Should You Use?
Kolbo.AI gives you access to several leading image models. Here is a practical breakdown of when to use each one.
Nano Banana 2
This is the best default for most tasks. It handles photorealism, product shots, portraits, abstract visuals, and marketing creative equally well. Generation is fast, the model understands nuanced prompts, and it consistently produces clean, usable outputs on the first try. Start here unless you have a specific reason not to.
Nano Banana Pro
Use this when you need higher resolution or when your prompt is complex, with many referenced elements or layered visual instructions. The model handles intricate scenes better and scales to larger formats without losing detail.
GPT Image 2
This is the top choice for quality, especially for images that must include readable text. GPT Image 2 handles non-Latin scripts including Arabic, Hebrew, Chinese, Japanese, Korean, and others with accuracy that other models simply cannot match. If your image needs a headline, label, logo text, or a sign in any language, this is the model to use. It also excels at infographics, product labels, and UI mockups.
Seedream
Seedream is a solid budget option for volume work. It is less restricted than other models, which can be useful for certain creative styles. Output quality is good, though it does not quite match Nano Banana 2 for precision.
How to Write a Prompt That Works
AI image prompts follow a consistent structure. The more clearly you describe each element, the more control you have over the result.
The Core Prompt Formula
[Subject] + [Visual Style] + [Lighting] + [Camera or Angle] + [Mood or Atmosphere]
For example: "A ceramic coffee mug on a marble surface, editorial product photography style, soft diffused studio lighting, close-up shot from a 45-degree angle, clean and minimal mood."
That single prompt gives the model a clear picture. It knows what the subject is, what genre of photography to emulate, how to light it, where to place the camera, and what emotional tone to target.
Practical Examples
Product photography: "A dark chocolate bar unwrapped on a wooden board, food photography, dramatic side lighting with warm highlights, overhead flat lay, rich and indulgent mood."
Portrait: "A woman in her 30s with curly hair, walking in a sunlit urban alley, candid street photography style, natural golden hour light, shot from a slight low angle, energetic and modern feel."
Marketing visual: "A laptop on a minimalist white desk with a small potted plant beside it, tech lifestyle photography, bright airy light from a large window, wide framing, clean and professional atmosphere."
Write in English
Prompts consistently perform best in English regardless of what language you think in. This applies to all models. If you are working in another language, translate your core description into English before prompting. You do not need to translate everything, but the main creative direction should be in English.
A Workflow That Actually Works
Random prompting wastes time. A structured approach gets better results faster.
Step 1: Define the Goal
Before you open a generation tool, know what the image is for. A social media post, a product page, a pitch deck slide, and a video thumbnail all require different framing, aspect ratios, and visual languages.
Step 2: Pick the Right Model
Use the guide above. Default to Nano Banana 2. Upgrade to GPT Image 2 if you need text in the image. Use Nano Banana Pro for complex multi-element scenes.
Step 3: Generate a First Draft
Write a complete prompt using the formula. Keep it one paragraph. Generate two to four variants at once to give yourself options.
Step 4: Iterate One Change at a Time
This is the most important part. When you want to change the output, change ONE thing and regenerate. Do not rewrite the entire prompt at once. That way you know exactly what caused the improvement. Common iteration targets: lighting type, camera angle, subject detail, background, mood adjective.
Step 5: Pick the Best and Refine
Choose the strongest variant. If it is close but not quite right, apply one more targeted change. Most professional outputs require two to four iterations, not twenty.
Handling Text in Images
Text inside AI images is a common challenge. Here is the reliable approach:
For text accuracy: Use GPT Image 2 or Nano Banana 2/Pro. Both handle non-Latin scripts well.
For pixel-perfect text: Generate the image without text, then add the text in a design tool such as Canva, Figma, or Photoshop. This guarantees exact typography, font, and spacing every time.
Post-Processing Your AI Images
Kolbo.AI includes tools to take your raw generation further without leaving the platform.
4K Upscaling (via Topaz): Enlarges the image while preserving sharpness. Useful for print materials or high-resolution display.
Canvas Tool: A targeted editing layer where you can paint over a specific area of the image and regenerate just that region. Change a background, fix a detail, or swap an element without losing the rest of the composition.
Keeping Characters and Brand Visuals Consistent
One of the most common problems with AI image generation is that each new image looks slightly different, even when you are trying to create the same character or product.
Kolbo.AI solves this with Visual DNA. You upload a reference image of a character, product, or style, and Kolbo extracts the visual identity from it. From that point forward, every new generation references that DNA, keeping the face, product design, or visual style consistent across your entire library.
This is particularly valuable for:
- Building a consistent character for a brand or campaign
- Keeping a product looking exactly the same across lifestyle shots, white-background shots, and social content
- Maintaining a consistent art style across a series of illustrations
Ready to start generating? Try Kolbo.AI for free at https://app.kolbo.ai and run your first image in under a minute.
Common Mistakes to Avoid
Prompts that are too vague: "A nice photo of a product" gives the model almost nothing to work with. Add specifics about the product, the setting, the lighting, and the mood.
Ignoring aspect ratio: Square images look wrong on YouTube thumbnails. Vertical images look wrong on desktop banners. Set the aspect ratio before generating.
Changing too many things at once: When you are unhappy with a result and rewrite the entire prompt, you often lose the parts that were working. Change one variable and regenerate.
Expecting perfection on the first try: Even experienced prompt writers iterate. Budget for two to four generations per final image in your workflow planning.
AI image generation in 2026 is a skill, not a lottery. The more deliberately you prompt and iterate, the faster you get to results you are proud of.
