Tutorial Link
https://youtu.be/qPUreQxB8zQ
Tutorial Info
Nano Banana AI image editing model was published by Google today. It is officially named the Google Gemini 2.0 Flash Image model. It is the most advanced zero-shot image editing model ever made. I have conducted a thorough, in-depth review of this model with 27 unique cases. All prompts, images used, and results are demonstrated in real-time — live in this tutorial. Moreover, I have compared each result with the state-of-the-art (SOTA) best open-source, locally available, and free-to-use Qwen Image Edit model, so we can see which model performs better at which tasks.
Tutorial Used Links
Video Chapters
- 0:00 Introduction to Google’s “Nano Banana” (Gemini 2.5 Flash)
- 0:28 Comparing Gemini vs. Qwen Image Edit Model (27 Test Cases)
- 1:33 Solving Gemini’s Low Resolution with SUPIR Upscaling
- 2:28 Teaser: Upcoming Qwen Image LoRA Training Application
- 2:41 How to Access Gemini 2.5 Flash in Google AI Studio
- 2:55 Test Case 1: Text Conversion
- 3:31 Test Case 2: Photorealism Test (Portrait)
- 4:36 Test Case 3: Adding Sunglasses
- 5:44 Test Case 4: Adding Iron Man to a Surfer (Gemini Wins)
- 6:38 Test Case 5: Adding a Cat (Qwen Wins)
- 7:20 Test Case 6: Clothing Extraction (Gemini Fails)
- 8:02 Test Case 7: Character Back View (Qwen Wins on Accuracy)
- 9:24 Test Case 8: Photo to Anime Style (Gemini Wins on Resemblance)
- 10:18 Test Case 9: Changing Background to Night
- 11:37 Test Case 10: Outpainting a Portrait (Qwen Wins on Proportions)
- 13:22 Test Case 11: Adding a Lion to a Scene (Gemini Wins)
- 13:59 Test Cases 12 & 13: Stylization Failures (Pixel Art & Claymation)
- 15:44 Test Case 14: Adding a Knight’s Helmet
- 16:47 Test Case 15: Adding Reflections (Qwen is More Accurate)
- 18:00 Test Case 16: Changing Day to Night (Window View)
- 19:33 Test Case 17: Adding a Wooden Sign
- 20:22 Test Case 18: Old Photo Restoration
- 21:47 Test Case 19: Adding a Spaceship to a City
- 22:34 Test Case 20: Generating a Logo from an Empty Canvas
- 23:48 Test Case 21: Changing Clothing Style
- 24:49 Test Case 22: Complex Prompt Following (Gemini’s Clear Win)
- 25:47 Test Case 23: Stylization Failure (Gemini Ignored Prompt)
- 26:35 Test Case 24: Cell Shading a Drawing
- 27:42 Test Case 25: 3D Sketch to Photorealistic Render
- 29:11 Test Case 26: Photo to Professional Sketch
- 30:16 Test Case 27: Multi-Image Editing (Gemini’s Unique Strength)
- 31:23 How to Upscale Gemini Images with the SUPIR Application
- 32:51 Using Gemini Pro to Generate Better Prompts for Upscaling
- 33:41 Before & After: SUPIR Upscale Results
- 34:56 LLaVA vs. Gemini Prompt: Comparing Upscale Quality
- 35:26 Sneak Peek: Qwen Image LoRA Trainer (Musubi Tuner)
- 36:45 Feature: Built-in Image Captioning with Qwen 2.5 VL
- 37:22 Sneak Peek: Ultimate Image Preprocessing Application
- 38:06 Demo: Automated Dataset Cropping & Resizing Workflow
- 39:22 Final Words & How to Access Test Files
Google’s Nano Banana: Revolutionizing AI Image Editing with Gemini 2.5 Flash
In a delightful twist of tech whimsy, Google unveiled its latest AI breakthrough on August 26, 2025: Gemini 2.5 Flash Image, affectionately codenamed “Nano Banana.” This model, which sparked viral buzz under its anonymous alias on platforms like LMArena, promises to transform how we create and edit images. No more clunky software — now, natural language prompts handle everything from blending photos to maintaining character consistency.
What started as cryptic hints (think banana-themed teasers from Google execs) culminated in today’s announcement. Nano Banana isn’t just fun nomenclature; it’s a powerhouse built on Gemini’s multimodal foundation. Users can upload images, describe changes like “add glasses and change the shirt to red,” and watch the AI deliver precise edits without distorting faces or scenes. This addresses a core pain point in AI imaging: inconsistency, where rivals like OpenAI’s tools often warp details during iterations.
Key features shine in creative control. Character consistency lets you reuse subjects across scenarios — e.g., placing your pet in various outfits while preserving its likeness. Multi-image fusion blends elements seamlessly, and Gemini’s world knowledge enables semantic edits, like turning hand-drawn diagrams into educational visuals. On benchmarks, it tops LMArena with a 1,362 ELO score, outpacing GPT-4o and Qwen in fidelity and speed.
