Edit Images With AI
Nano Banana Masterclass — Elite Image Editing with Google Gemini & AI Studio
1) What Nano Banana is (in plain English)
Nano Banana is Google DeepMind’s latest image model built for intuitive, high-precision editing and generation from natural language. It’s available inside the Gemini app for everyday creators and in Google AI Studio for power users and developers. Google announced it as a major upgrade to Gemini’s image editing; you can try it directly in Gemini and select it in AI Studio as “Gemini 2.5 Flash Image (Preview)”. (blog.google)
What it excels at
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Edit your own photos by describing the change (“remove the exit sign,” “make the sky overcast,” “turn this jacket red”).
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Keep the same character/subject consistent across multiple scenes and angles.
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Targeted, local edits (e.g., remove/replace an object) as well as global style changes. (Google AI Studio)
Why people love it
Creators are “going bananas” because the model is fast, precise, and easy to steer, sparking viral prompt trends in the Gemini app. (blog.google)
2) Where to access Nano Banana (two paths)
A) The Gemini app (fastest for everyday editing)
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Open the Gemini app (Android/iOS) or web.
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Upload a photo (or start with text).
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Ask for edits in plain English; Gemini now uses the Nano Banana model for image editing in-app. (blog.google)
B) Google AI Studio (power workflows, reproducible results)
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Go to aistudio.google.com and sign in.
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Choose model “Gemini 2.5 Flash Image (Preview)” (a.k.a. Nano Banana).
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Use text → image, image → image, or multi-image prompts to control consistency and precise edits. (Google AI Studio)
Tip: Keep your Google AI Studio Tutor on screen share. Ask it to refine prompts, suggest masks/regions in words, and produce batch prompts for series work.
3) What you can do (capabilities at a glance)
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Local object edits: remove/replace items, fix distractions, clean backgrounds.
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Stylistic transforms: film looks, “studio lighting,” painterly styles, seasonal/Weather mood.
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Environment swaps: move a subject to new places while preserving identity.
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Multi-image consistency: keep the same character, clothing, or product consistent across outputs. (Google AI Studio)
There’s also a community trend of creating stylized “figurine/mini” characters—fun for brand mascots or social content. (The Times of India)
4) Core editing workflows (Photoshop-class, prompt-driven)
Workflow 1 — Precision Retouch (local edit)
Use when: you need surgical changes without touching the rest.
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Upload photo.
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Prompt:
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“Remove the [object] and fill the area naturally to match perspective and lighting.”
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“Retouch skin subtly: keep pores, reduce blemishes only.”
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Iterate: “A bit softer on the skin; keep texture.”
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Export.
Rationale: Nano Banana is tuned for targeted transformations (object removal/adjustment). (Google AI Studio)
Workflow 2 — Character Consistency (multi-image)
Use when: you want the same person/mascot across scenes.
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Provide a reference image (or a small set).
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Prompt: “Use this person as the subject. Place them [action] in [setting]. Keep same face, hair, outfit. 35mm look, early-morning light.”
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Generate 3–5 shots; keep favorites as future references.
Rationale: The model supports placing the same character in different scenes to build consistent assets. (Google AI Studio)
Workflow 3 — Product in Context (brand catalog)
Use when: you need realistic lifestyle shots from one studio packshot.
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Upload clean packshot (front/three-quarter).
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Prompt: “Place this shoe on a concrete sidewalk at golden hour; soft shadows and light bloom; keep logo sharp; hero angle.”
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Ask for variants (rain, indoor gym, wooden floor).
Rationale: AI Studio’s model page highlights consistent brand assets and new settings/angles. (Google AI Studio)
Workflow 4 — Scene Rewrite (global transform)
Use when: the whole mood needs a change.
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“Transform this into a moody noir scene; add light fog; neon reflections on wet pavement; keep subject identity unchanged.”
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Follow with: “Increase contrast slightly; cyan highlights, magenta shadows.”
Rationale: Nano Banana supports global style changes and lighting direction. (Google AI Studio)
5) The Nano Banana Prompt System (how to “drive” it)
A) Base formula
Action + Subject + Specific attributes + Environment + Lens/Light + Constraints
Example:
“Remove the overhead exit sign; preserve brick texture and shadow pattern; fill with matching wall; keep subject untouched; export at 2048px long edge.”
B) Local edits with “soft masks” (in words)
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“Only adjust the background; don’t alter the person.”
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“Change jacket color to deep red; keep stitching and fabric texture.”
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“Sharpen product logo; do not sharpen skin.”
C) Consistency tags
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“Same person as reference image; identical hair and freckles; keep jacket logo.”
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“Same product proportions; preserve logo placement.”
D) Quality constraints
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“Photo-realistic; no extra fingers; correct perspective; natural skin texture; avoid plastic look.”
Ask your Tutor to convert your wish list into reusable prompt blocks you can paste for every edit session.
6) Pro editing recipes (copy-ready)
Clean commercial portrait
“Subtle skin cleanup (keep pores), brighten eyes by 8%, teeth +5 whiten, remove flyaway hairs, keep natural texture, neutral studio light.”
Fashion colorway change
“Change jacket to Pantone 186C (deep red) without affecting fabric texture or seams; update reflections to match.”
Real-estate day-to-dusk
“Same camera angle; convert to blue hour; turn on interior lights; warm window glow; preserve street reflections; realistic sky gradient.”
Menu/food hero
“Enhance steam and gloss, keep plate shadows soft, remove crumbs on rim, increase saturation of greens, avoid oversharpening.”
Product into environment
“Place this bottle on a marble vanity with soft top-down light; add faint condensation; realistic shadow and reflection; color temperature 4000K.”
Mini-figurine trend (for socials)
“Turn this person into a stylized 3D desk figurine, 10 cm tall, glossy material, small display base, studio lighting, shallow depth of field.” (The Times of India)
7) Batch work & reproducibility in AI Studio
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Saved prompts: keep a library of your best prompts (colorways, moods, cleanup specs).
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Reference slots: upload 2–5 references (person, product) to lock identity/branding. (Google AI Studio)
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Version control: name each prompt set (“Portrait-Clean-v3”).
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Compare batch: request “3 variations” and review side-by-side; favorite the take that fits the brand.
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Hand-off assets: export high-res PNG/JPG; store sources/prompts alongside exports for future consistency.
8) When to choose Gemini (Nano Banana) vs. classic editors
Choose Nano Banana when
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You know what you want, but not the manual pixel steps.
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You need character/product consistency across scenes fast.
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You want both precision local edits and global mood changes via language. (Google AI Studio)
Keep Photoshop/Photomator handy for
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Exact hand-drawn masking, CMYK prepress, smart objects for print pipelines.
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Layer-based compositing at the finest manual control.
The real power is combining them: rough-in a scene with Nano Banana → final polish in your layer editor.
9) Using your Google AI Studio Tutor (your creative director)
Keep screen share on and ask:
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“Rewrite my prompt to preserve skin texture but remove under-eye shadows only.”
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“Diagnose why the product logo drifts between angles; propose a consistency prompt.”
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“Create a batch of 12 seasonal variations for this hero image; one line per prompt.”
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“Suggest a brand lookbook (lighting, lens, color grade) and generate prompt templates.”
10) Troubleshooting & quality control
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Identity drift (face/product varies): provide more/better reference images; add “same person/product,” “preserve proportions/logo,” and reduce style extremes. (Google AI Studio)
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Plastic skin: explicitly request “keep pores/texture; subtle retouch only.”
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Perspective errors/shadows: mention “match perspective to original,” “physically plausible shadows/reflections.”
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Over-edits elsewhere: fence the edit—“only background,” “do not alter subject.”
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Repetition artifacts: ask for “single subject; no duplicates; centered composition.”
11) Responsible use & rights (must-read)
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Use images you own and have the rights to edit.
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Get consent before altering a person’s likeness.
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Label AI-generated composites where appropriate.
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Avoid impersonation or misleading edits.
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Respect trademarks/brand guidelines on commercial work.
12) Quick start checklist (print this)
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Open Gemini app (for quick edits) or AI Studio → “Gemini 2.5 Flash Image (Preview)”. (blog.google)
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Choose Image→Image or Text→Image.
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Load reference image(s) for consistency. (Google AI Studio)
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Paste a structured prompt (action, subject, environment, lens/light, constraints).
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Iterate with local constraints (“only background,” “preserve fabric texture”).
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Export hi-res; keep prompts + references for future batches.
13) Level-up curriculum (one week to pro)
Day 1 — Familiarization
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Try five single-edit prompts (remove object, recolor, light shift).
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Ask your Tutor to grade results and refine language.
Day 2 — Consistency
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Build a 6-image set of the same person/product in different scenes.
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Save the best prompt; document “dos & don’ts.”
Day 3 — Brand look
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Define a style bible (lighting, lens, palette).
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Create 10 on-brand prompts for catalogue shots.
Day 4 — Batch pipeline
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In AI Studio, run multi-image prompts; select best takes; export.
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Track version names and decisions.
Day 5 — Hybrid polish
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Move one composite into Photoshop for micro-masking and print prep.
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Compare before/after; write your finishing checklist.
Day 6 — Social set
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Produce a figurine/mini series for reels; test 3 hooks. (The Times of India)
Day 7 — Portfolio
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Assemble a before/after deck with prompts, references, and results.
Bottom line
Nano Banana gives you Photoshop-class control by conversation—especially for targeted edits and identity-true consistency across scenes. Use the Gemini app for speed and Google AI Studio for reproducibility and batch work. Pair it with your AI Studio Tutor to refine prompts, systematize your look, and scale production.