How to Choose AI Image Generation in 2026? Which AI Image Model Is Best? NadouPro's Six Models Explained

"Which AI image generation model is the best?" is the wrong question. In 2026, the right question is: what task is this model good at? Realistic people, precise editing, text in images, and style redraws each have their own best fit. Model selection also has a second layer: the model is the engine, and the platform is the runtime environment. Some platforms only have their own engine, while others place multiple engines into the same workflow and Beans system. The latter saves the cost of switching back and forth and dealing with style breaks.

First, think clearly about where the image goes next

An image is rarely the endpoint. The same face may need to return in the next shot, the background may need to change without breaking the pose, and the image often needs to continue into a video or an advertisement. A single generator stops there, while an end-to-end platform like NadouPro continues from that point: image generation, video generation, and character consistency are connected within the same platform.

The six image models inside the NadouPro platform

• Seedream 5.0 Pro: an all-rounder for cinematic visuals and dense graphic-text design, strong at style redraws and infographics

• GPT Image 2: focused on ultra-realistic photos, with precise text and layout; the first choice when clear text needs to appear in the image

• Nano Banana 2: extremely fast image output, good text rendering, and strong consistency, suitable for batch production and rapid iteration

• Nano Banana Pro: multi-image fusion with precise instruction following, a core tool for combining multiple reference images into one scene

• Kling 4.0: a full chain from basic images to advanced detail editing, the main choice for retouching-style tasks

• Mdijourney 8: aimed at advanced aesthetics, native high definition, for materials that demand strong texture and finish

Choose models by task

Realistic people: GPT Image 2's ultra-realistic direction, paired with photography-style prompts, produces images with a camera-like sense of realism, suitable for portraits and fashion materials.

Change the scene without changing the person: Nano Banana 2 keeps the pose and clothing unchanged during scene replacement, making it suitable for ad scene-switching tasks.

Style redraws: Seedream 5.0 Pro sends a person into another visual world while keeping the face recognizable, making it the first choice for style experiments and serialized content.

Text in images: for accurate text on posters, labels, and covers, GPT Image 2 and Nano Banana 2 have the most stable text rendering.

Multi-reference synthesis: when characters, scenes, and props are input as multiple images and combined into one frame, Nano Banana Pro's multi-image fusion is built for this.

Texture refinement: Kling 4.0 covers the entire chain from generation to detail editing, so switch to it for the refinement stage.

A real three-model relay

A typical pipeline using the same character as an example: GPT Image 2 first generates the original look-development photo; Nano Banana 2 then sends the person into a new scene while keeping the pose and clothing unchanged; Seedream 5.0 Pro then redraws the entire image into another style. After three steps, it is still the same person, but now with three visual worlds. This is the value of a multi-model platform: no need to change tools, only the engine.

Consistency determines reuse value

Realism only solves the problem of a single image. Ads and serialized content require the same face to return in every image, and this is exactly the value of the character reference layer: upload a reference to establish an appearance anchor, and every image continues from it. Combined with the ability to extend images into video, a static appearance can directly enter dynamic storytelling, from look-development photo to finished video without changing platforms.

Common questions

Q: Can AI-generated images be used commercially?
A: It depends on the platform rules, the plan used, and the reference materials uploaded. Before commercial use, confirm the platform terms and authorization notes. NadouPro supports exchanging Beans for commercial authorization.

Q: How can I keep the same face across multiple AI images?
A: Use a character reference. Upload a reference image to establish an appearance anchor, and each subsequent image will follow that appearance.

Q: Can an AI image be turned directly into a video?
A: Yes. After an image is generated in NadouPro, it can be connected directly to a video model, completing Image to Video on the same platform.

Q: If I need clear text in the image, which model should I use?
A: GPT Image 2 and Nano Banana 2 have the most stable text rendering, so prioritize them for posters, labels, and covers.

Q: What should I do if I want to combine several reference images into one scene?
A: Use Nano Banana Pro's multi-image fusion: provide separate reference images for the character, scene, and props, then describe the relationship between them in the prompt.

Q: Can images produced by different models have a unified style?
A: Put the visual conditions, such as focal length, color tone, and lighting, at the beginning of the prompt and keep them consistent. This helps ensure style consistency across models; for keyframe-style tasks, using Storyboard is more stable.

To explore more features, visit NadouPro: NadouPro

Contains AI-generated information that may be incorrect. Please verify independently.