notes:my/desktop.

It's Bananas! Note to Self on AI Image Workflow 🍌

🍌 Nano-Banana vs The Big Three: Creation vs Editing Showdown

Creation tools: ChatGPT, SORA, Copilot
Editing champ: Gemini Nano-Banana 🍌 (Gemini 2.5 Flash Image)

Here’s what’s going down:

Gemini’s Nano-Banana is making waves for its editing capabilities. It’s fast, realistic, and shockingly consistent across edits — reviewers compare it to a rapid “Photoshop express” for its object removal, background blending, and face swaps with uncanny fidelity. Google’s SynthID watermarking helps maintain edit transparency too (TechRadar review, Washington Post).

In the generation space, ChatGPT, SORA, and Copilot still shine. ChatGPT’s image generation is impressively creative, SORA interprets prompt details with higher clarity and accuracy, and Copilot is strong on flexible image construction (Medium comparison of ChatGPT-4o vs SORA).

But where they fall short is in editing consistency. Nano-Banana excels at maintaining character likeness and visual cohesion across multiple edits — ChatGPT can drift or produce inconsistencies when refining photos (TechRadar, El País comparison).


My Day-Job Workflow

In my day job, I often edit or create photos from references — mostly portraits. Previously, this meant a ton of manual tweaking…and endless searching for a usable free face-swap tool. 😂 But since I started using Nano-Banana:


Tool Comparison at a Glance

Tool Strengths Weaknesses
ChatGPT / SORA / Copilot Creative image generation, prompt flexibility Editing consistency isn’t their forte
Gemini Nano-Banana Lightning-fast, realistic edits, retains character and context Not as creative from scratch; cropping/aspect ratio limits

TL;DR: Nano-Banana might not win at imaginative creation, but for editing? It’s the clear king. 🐐 ezgif-2129706e744c8e

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