Which AI Image Model Should You Use? A Practical Bildy Guide

AI image models are starting to feel like camera lenses. Each one bends the job in a different direction.

One model is better for quick edits. Another is better for clean inpainting. Another is better when you need readable text. Another is better for design assets. If you treat them all as interchangeable, you waste time rewriting prompts that were never the real problem.

Think of this as a field guide for choosing a model inside Bildy when you want a useful result quickly.

The quick picks

If you only want the answer, start here.

The trick is to use models in sequence. Draft with a cheaper or faster model, then move to a stronger model once the direction is clear.

How to think about model choice

Most image prompts fail for one of four reasons: the model misread the instruction, changed the subject too much, made a nice image that does not fit the job, or received a prompt for something it handles poorly.

Changing the prompt can help. Changing the model often helps more.

A good comparison article usually asks practical questions: What is this model best for? Where does it break? How fast is it? How expensive is it? What kind of creator should use it? That is the structure here.

Best default edit model: Nano Banana 2

Use Nano Banana 2 when you already have an image and want to change it with normal language.

Good fits: product photo edits, outfit swaps, background changes, social variations, character or object reference work, and quick visual alternatives.

Nano Banana 2 is the model I would try first for most everyday edits. It is fast enough that you can work conversationally: ask for a change, look at the result, then steer. That helps because image editing is rarely a one-prompt job.

A useful prompt pattern:

"Keep the product exactly the same. Replace the background with a clean warm studio setup, soft shadows, realistic lighting, no text."

Look at the first sentence. When editing, name the parts that need to stay unchanged. Models are creative by default; your job is to give them boundaries.

Best final-pass edit model: Nano Banana Pro

Use Nano Banana Pro when the image is close and the output needs polish.

Good fits: hero images, ads, product launch visuals, difficult compositing, brand-sensitive images, and final polish after fast drafts.

Save the highest-quality option for moments where extra detail can improve the result. Sketch with Nano Banana 2 first, then move to Nano Banana Pro once the direction is clear.

Nano Banana Pro is also the place to go when small details decide the result: faces, surfaces, product edges, complex lighting, or a composition that needs to feel less synthetic.

Best for removal and masked fixes: the mask tool

For removing an object or fixing one region, draw a mask over it and describe the change. The editor routes masked work through an inpainting engine built for exact fills, so everything outside your mask stays pixel-identical - which a plain prompt edit can never promise.

For cheap exploration, Z-Image Turbo gives you a draft in about three seconds for 8 credits. Explore compositions there, then hand the winning direction to a stronger model.

Good prompt pattern for clean generation:

"A realistic product photo of a matte black desk lamp on a walnut desk, soft morning window light, neutral background, shallow depth of field, no text, no watermark."

Best for visual exploration: FLUX 2

FLUX is a good family when you want style, mood, or a stronger visual point of view.

Use FLUX 2 Dev for quick exploration. Use FLUX 2 Pro when the direction is promising. Use FLUX 2 Flex when you want to push quality and are willing to spend more time and credits.

Good fits: posters, editorial images, fashion concepts, surreal product visuals, stylized social graphics, and visual directions where taste leads the work.

FLUX is often useful when the default models feel too clean or literal. When you are art-directing a look, FLUX belongs in the test set.

Best for reference-heavy edits: Seedream

Seedream is worth trying when the image depends on relationships between things.

Good fits: multi-reference edits, product-in-scene concepts, example-based edits, spatially specific prompts, and compositions where placement carries the image.

A typical Seedream-style job might be:

"Put the chair from image one into the room from image two. Match the floor perspective, keep the chair material unchanged, and make the shadows believable."

That is harder than "make a chair in a room." It requires the model to understand both references and the scene geometry.

Best for text and strict instructions: GPT Image 2

If the image needs readable words, labels, signs, packaging text, or a very specific layout, try GPT Image 2.

Good fits: posters, mock ads, packaging drafts, UI-style compositions, simple infographics, and images with short visible text.

Every image model can stumble on text. Keep text short, make it important in the prompt, and check the result at full size. If the words are close but too messy for production, switch models before you spend ten prompts trying to force the same model into behaving.

Prompt pattern:

"Create a minimal square poster. Large centered text: SUMMER SALE. Below it, smaller text: 30% OFF. Clean product photography style, pale blue background, plenty of whitespace."

Best for design assets: Recraft V4

Recraft is the model family I would reach for when the output needs clean shapes, controlled color, and a designed feel.

Good fits: icons, stickers, vector-like graphics, brand elements, clean illustrations, and product feature graphics.

Use Recraft when you care about design language: simple shapes, controlled color, repeatable style, and assets that might sit inside a UI or campaign system.

Best photoreal draft model: Luma Photon

Luma Photon and Photon Flash are useful for realistic scenes and fast ideation.

Good fits: lifestyle product shots, realistic environments, natural-looking lighting, and fast photoreal concepts.

Photon Flash is the quick pass. Photon is the steadier pass. If you are making realistic source images that may later become videos, they are good models to compare against FLUX and Runway.

Best stills before video: Runway Gen-4 Image

Runway Gen-4 Image makes the most sense when you are thinking cinematically.

Good fits: story frames, shot concepts, pitch images, product scenes that may become video, and character or environment setups for motion.

Runway describes Gen-4 around world consistency: characters, locations, and objects that hold together across generated scenes. That is exactly the mindset you want before video generation. A strong still image is often the cheapest way to find the shot before spending credits on motion.

A realistic workflow

Here is the model workflow I would use for a product campaign.

For a product campaign, I would split the job like this:

This is faster than looking for one magic model.

What to compare when you test models

Run the same prompt through two or three models and judge the output with a boring checklist.

Use this checklist when comparing outputs:

A pretty output can still lose if it misses the job. The useful output wins.

Common mistakes

The most common mistake is asking for too much at once.

Bad prompt:

"Make this product photo better, change the background, make it premium, add text, fix the lighting, make it viral."

Better prompt:

"Keep the bottle shape, label, and cap unchanged. Replace the background with a minimal cream studio backdrop. Add soft shadows under the bottle. No text."

Then do the next edit as a second step.

Another mistake is using a premium model too early. Premium models are best when you already know what you want. During the messy phase, speed is usually more valuable than perfection.

Further reading

• Google Developers Blog: Introducing Gemini 2.5 Flash Image
• Runway Research: Gen-4 world consistency
• TechRadar: Nano Banana 2 Lite and fast iteration

Try it with one image

Pick one image you already have. Run one prompt through a fast model and one stronger model. Judge the result before the model name.

If you want to try the workflow without setting up separate tools for every model, sign up at bildy.ai and start in the image editor.