Recently there has been a lot of development of new and re-freshed AI model for image generation. Google has officially launched their new image model “nano banana” which took the internet in a hype and pushed the Gemini app to #2 in the app store. Shortly after that seedream 4.0 from Bytedance was released also getting enormous buzz as it is able to produce outputs at the quality of Google’s nano banana at a fraction of the cost. Still also one model worth considering, especially when you are like happy that are also European AI companies still in this race, is flux 1.1 from back forest labs.
I took those 3 models to a test with the same prompt, to see where each model has its weaknesses and advantages. The order of the images in each row: flux, nano banana, seedream
In the first image row/prompt flux produced a fine looking image with a nice light atmosphere but was not able to generated the bubble ring correctly. The other 2 model did pass this test but the nano banana output looks sort of pale compared to the seedream image.
In the 2nd test the image from flux look totally artificial and is like this not usable – although it was the only model who made the lettering in the dress correct and readable. The 2 other images look more realistic but again here the nano banana image rooks really pale compared to the output from seedream. Both were able to generate a good depth effect although the seedream image look more appealing. When you want to create shots of people seedream often comes up with Asian looking faces – probably as a result of its training data (seedream is from bytedance – the company behind tiktok)
Example three shows again similar result: flux looks to artificial in terms of skin texture but has overall a good image composition. The nano banana image looks really pale this time and rather reminds of a dalle-3 like image. Seedream has again an issue with making Asian looking faces without having prompted for it – other then that the image look quite good.
Performance Comparison Table
So it really depends actually on the image/composition you want to create that should actually really influence your model choice. This table is a great summary of when to use which model:
| Feature | Seedream | Nano banana | Best For |
| Portrait Generation | Good saturation, lighting harmony | Superior sharpness, softer colors | Nano banana |
| Background Replacement (Text-based) | Better lighting matching | Inconsistent lighting | Seedream |
| Background Replacement (Image-based) | Slight background alterations | Better consistency | Nano banana |
| Multi-Image Composition | Detail-focused, half-body shots | Full-body, overall presentation | Tie (different strengths) |
| Text Editing | Accurate text placement | Text positioning errors | Seedream |
| Color Adjustment | Too vivid colors | Better background matching | Nano banana |
| Angle Transformation | Maintains character consistency | Small, less sharp results | Seedream |
| Photo Restoration | Effective stain removal, colorization | Minimal restoration capability | Seedream |
| Object Removal | Slightly blurry results | Sharper facial features | Nano banana |
| Style Transfer | Color-accurate conversion | More artistic brushstrokes | Tie (different styles) |
| High-Resolution Enhancement | Exceptional detail enhancement | Minimal improvement | Seedream |
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