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AI Photo Editor Test: Krea 3 vs FLUX 3 Klein vs Nano Banana

I ran 8 identical multi-reference editing tasks across Krea 3, FLUX 3 Klein Edit, Nano Banana 2.1, and Seedream 5.0 Flash. Here is how each model handled face consistency, text rendering, and object removal.

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AI Photo Editor Test: Krea 3 vs FLUX 3 Klein vs Nano Banana

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Krea 3 promotes itself as an AI photo editor built for production workflows, while FLUX 3 Klein Edit accepts up to 10 reference images for pennies. On 20 October 2026, I put both fal.ai newcomers alongside Nano Banana 2.1 and Seedream 5.0 Flash through the exact same 8 editing benchmarks on identical source images. Check out the FLUX 3 Max hub for more platform coverage. In my benchmark, ByteDance’s Seedream 5.0 Flash took first place (9.2/10 at $0.027), FLUX 3 Klein followed closely (8.9/10 in just 7 seconds), while Krea 3 closed out the pack (8.3/10), largely because it repeatedly dropped diacritics and wrote “zl” instead of “zł”.

Input photo (FLUX 3 Image): storefront sign "PIEKARNIA U ZDZISIA".
Input photo (FLUX 3 Image): storefront sign “PIEKARNIA U ZDZISIA”.
FLUX 3 Klein Edit: "KWIACIARNIA POD RÓŻĄ / Tulipany 5 zł", flowers in window.
FLUX 3 Klein Edit: “KWIACIARNIA POD RÓŻĄ / Tulipany 5 zł”, flowers in window. 10/10.

Results Across 8 Editing Tasks

I scored every output on a 0-10 scale based on whether the modification followed the prompt precisely and left the rest of the image untouched. I verified text on full-resolution crops. I measured runtime from dispatch to the final file, including queue time. Costs follow fal.ai API rates (for Klein, pricing is listed as planned on fal, so I report the estimated range).

Model Average Score Median Time Edit Cost
Seedream 5.0 Flash Edit 9.2 18 s $0.027
FLUX 3 Klein Edit 8.9 7 s approx. $0.02-0.05
Nano Banana 2.1 Edit 8.4 20 s approx. $0.05
Krea 3 Edit 8.3 34 s $0.06-0.13

Krea bills per output megapixel plus each reference image, which bumped a 3-reference edit to $0.13. Seedream charges a flat per-image rate regardless of reference count. More of my independent tests are collected in the Quantslant Lab.

Task by Task Breakdown

Task Krea 3 Klein Nano Banana / Seedream
New sign text 8 10 10 / 9.5
Product in new scene 9 9 9 / 9.5
Same face, winter scene 9 9 7.5 / 9
Remove kettle, add espresso machine 8.5 8.5 9.5 / 9.5
2 references: person + kitchen 7.5 7.5 8 / 9
3 references: + labeled jar 8 8.5 6 / 8.5
Market square in winter 9 9 8 / 9.5
Add price tag “29,99 zł” 7.5 10 9.5 / 9

Foreign Diacritics: Krea Drops Special Characters

In two text editing challenges, Krea 3 stripped the Polish character “ł” and wrote “5 zl” and “29,99 zl”. It made that exact mistake when generating from scratch (a milk bar menu and a concert poster), so this is a model limitation rather than a random glitch. Seedream 5.0 Flash rendered the characters cleanly during editing, though in text-to-image it occasionally added an extra mark over “z”.

Krea 3: "29,99 zl".
Krea 3: “29,99 zl”. 7.5/10.
FLUX 3 Klein: "29,99 zł", label untouched.
FLUX 3 Klein: “29,99 zł”, label untouched. 10/10.
Nano Banana 2.1: "29,99 zł" on angled tag.
Nano Banana 2.1: “29,99 zł” on angled tag. 9.5/10.
Seedream 5.0 Flash: "29,99 zł", tag blocks top of label.
Seedream 5.0 Flash: “29,99 zł”, tag blocks top of label. 9/10.

Consistent Faces Across Scenes

Krea, Klein, and Seedream faithfully kept the facial structure, wrinkles, and freckles of the 62-year-old subject from the source image. In contrast, Nano Banana 2.1 shifted the hair and facial proportions - producing someone who looks like a sibling rather than the original person.

Original photo (FLUX 3 Image).
Original photo (FLUX 3 Image).
Krea 3 - 9/10.
Krea 3 - 9/10.
Nano Banana 2.1 - 7.5/10, altered hair and features.
Nano Banana 2.1 - 7.5/10, altered hair and features.
Seedream 5.0 Flash - 9/10.
Seedream 5.0 Flash - 9/10.

Multi-Reference Editing: Three Inputs at Once

The toughest test asked each AI image editor to place a woman from image one into a kitchen from image two while holding a honey jar from image three with the legible label “MIÓD GRYCZANY”. Krea, Klein, and Seedream preserved the first line of the label, but the second line (“Pasieka Łąka”) blurred across all four engines. Nano Banana 2.1 hallucinated the text as “NIÓD GRYCEANY”.

FLUX 3 Klein - 8.5/10, close framing, readable label.
FLUX 3 Klein - 8.5/10, close framing, readable label.
Seedream 5.0 Flash - 8.5/10.
Seedream 5.0 Flash - 8.5/10.
Krea 3 - 8/10, subject small in frame.
Krea 3 - 8/10, subject small in frame.
Nano Banana 2.1 - 6/10, "NIÓD GRYCEANY".
Nano Banana 2.1 - 6/10, “NIÓD GRYCEANY”.

Object Removal and Insertion

Every tool successfully erased the stovetop kettle and inserted an espresso maker. However, Krea and Klein both preserved a ghostly trace of steam on the stove lid where the kettle had been venting. Nano Banana and Seedream cleaned away both the appliance and the steam plume in one pass.

Krea 3 - 8.5/10, residual steam mark.
Krea 3 - 8.5/10, residual steam mark.
Seedream 5.0 Flash - 9.5/10, clean background.
Seedream 5.0 Flash - 9.5/10, clean background.

Speed Comparison

  • FLUX 3 Klein: 6-7 seconds per standard edit, 11 seconds with three reference images. It was the fastest model in my test by a wide margin.
  • Seedream 5.0 Flash and Nano Banana 2.1: 15-20 seconds typically, with one 49-second outlier for Nano Banana on the 3-reference prompt.
  • Krea 3: 27-51 seconds. Krea claims a sub-8-second median in its own web app, but over fal.ai with default prompt expansion (reasoning_level medium) and queuing, my turnaround times never came close to that figure.

Choosing the Right AI Photo Editor

  • Best overall quality on a budget: Seedream 5.0 Flash - flat $0.027 pricing even when feeding it multiple references.
  • Fast iterations, complex text, and self-hosting: FLUX 3 Klein - 7-second speed, zero spelling errors, and open weights under the FLUX Kommunity License so you can run it locally (read my RTX 4090 local benchmark).
  • Quick cleanups and object removal: Nano Banana 2.1 handles background erasures well, though avoid it if subject identity retention is critical.
  • Krea AI: Delivers natural lighting and strong identity retention, but struggles with non-English characters and ran slowest in my API tests.

If you want to compare raw text-to-image output from these same architectures, see my roundup of new models on fal.ai. For multi-turn AI photo editing endurance tests with Ideogram 4.5, check my guide to 10 edits in a row without drift.

Frequently Asked Questions

Which AI model handles edited text with non-English characters best?

In my tests, FLUX 3 Klein Edit earned 10/10 across both text benchmarks, while Nano Banana 2.1 scored 10 and 9.5. Krea 3 consistently dropped the diacritic, printing “zl” instead of “zł”.

What does Krea 3 cost per edit via API?

On fal.ai, Krea 3 charges $0.025 per output megapixel plus an extra fee for each reference image. A standard 1 MP edit with one input cost me $0.064, while a 3-reference composite came out to $0.127.

How many reference images does FLUX 3 Klein Edit support?

According to its fal.ai documentation, the endpoint accepts up to 10 reference images. My benchmark evaluated up to 3 references simultaneously.

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Piotr Olszewski

Editor and publisher · Quantslant

I edit and publish Quantslant. AI tools help with research, drafts and translation; choosing topics, running the tests, checking facts and the decision to publish are mine, and so is the responsibility for what appears here.

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