Replicate
google/nano-banana-2-lite · google/nano-banana-2 · google/nano-banana-pro
Generate the approved media in this recipe.
REPLICATE_API_TOKENGive one photograph a bright, cool, mildly overexposed Y2K digital-camera finish with timestamp texture and candid energy.
By Wiggly Studio · Updated July 2026


Shared recipe family
Cool Tone Filter belongs to Image Filters. These recipes share a runtime; adjacent examples are not separate Repos. The download on this page packages this specific recipe.
See the full recipe familyBefore you start
google/nano-banana-2-lite · google/nano-banana-2 · google/nano-banana-pro
Generate the approved media in this recipe.
REPLICATE_API_TOKENSetup, validation & inspection
Node.js >=22 · npm
Typical run estimate
One Replicate image charge and usually 2-4 min
Estimates describe the saved recipe, not a price guarantee. Confirm current provider pricing and approve any spend before generation. Your coding agent may have its own fees or usage limits. Never paste API keys into chat.
Included assets
The published package includes its agent instructions, input contract, and quality rules, plus 6 viewable asset references below. Reference media teaches the recipe; it is not a new result for your input.

Supplied creator reference—not a new Wiggly-generated result.

Supplied creator reference—not a new Wiggly-generated result.

Supplied creator reference—not a new Wiggly-generated result.

Supplied creator reference—not a new Wiggly-generated result.

Supplied creator reference—not a new Wiggly-generated result.

Supplied creator reference—not a new Wiggly-generated result.
Examples
6 saved examples for this recipe—not 6 separate Repos. Each example keeps its original version and provenance.












From input to output
From the published pipeline.json. The agent follows the packaged runtime and its approval gates.
Step 01
One run pinned to the photo, exact gathered prompt, and selected model route.
Step 02
The photo and prompt contract checked locally.
Step 03 · approval · provider
One Cool Tone Filter transform from one approved prediction.
Step 04 · approval
Automatic file checks plus an actual visual review.
Proof & quality
Judge strict identity preservation, direct-flash Y2K color, believable mild overexposure, compact-camera texture, timestamp placement, and candid energy.
The Instagram DM delivered the public Google Doc with the exact GPT Image 2 prompt. The original carousel supplied its cover and six native output examples; promotional slides were omitted.
Each source example includes its original inset. The packaged reference files are exact crops from those insets so Wiggly can also place the original at the top right of the consumer Format page.
Saved reference
Saved reference
These are the acceptance criteria in quality.json—not a claim that every pictured example passed the current version. Inspect each new output before finalizing.
Open the package
Actual files from the published v1.0.0 package. Expand any file to inspect the instructions, requirements, or evidence before sending the Repo to your agent.
# Wiggly Cool Tone Filter Format This runnable Repo preserves the exact gathered prompt, source notes, original carousel cover, and six native SKAI examples. It uses the shared Wiggly image runner so validation, paid approval, retry caps, and visual finalization stay explicit. Run from `v3`: ```bash npm install npm run format:skai-image -- check --format=cool-tone-filter npm run format:skai-image -- smoke --format=cool-tone-filter npm run format:skai-image -- init --format=cool-tone-filter --run=my-photo --input=/absolute/path/to/photo.jpg npm run format:skai-image -- validate --format=cool-tone-filter --run=my-photo npm run format:skai-image -- estimate --format=cool-tone-filter --run=my-photo ``` Generation requires `REPLICATE_API_TOKEN` and explicit approval: ```bash npm run format:skai-image -- render --format=cool-tone-filter --run=my-photo --approve-paid ``` No Replicate proof call was made while packaging this Repo. Model routes: - Economy: `google/nano-banana-2-lite` - Default: `google/nano-banana-2` - Premium: `google/nano-banana-pro` The creator guide labels its examples as GPT Image 2. That source model is recorded as provenance; the runnable Wiggly routes use Replicate.
--- name: wiggly-cool-tone-filter description: Apply the exact gathered SKAI Cool Tone Filter prompt to one photograph. --- # Cool Tone Filter Use the packaged runner and exact prompt. Do not call Replicate separately or create another render path. Ask one short question: > Which photo should I give the Cool Tone Filter? Then run: ```bash npm run format:skai-image -- init --format=cool-tone-filter --run=<id> --input=<absolute-image-path> npm run format:skai-image -- validate --format=cool-tone-filter --run=<id> npm run format:skai-image -- estimate --format=cool-tone-filter --run=<id> npm run format:skai-image -- render --format=cool-tone-filter --run=<id> --approve-paid npm run format:skai-image -- inspect --format=cool-tone-filter --run=<id> npm run format:skai-image -- inspect --format=cool-tone-filter --run=<id> --visual-pass --review-notes="<specific observations>" npm run format:skai-image -- finalize --format=cool-tone-filter --run=<id> --approve-final ``` Hard rules: - Keep the exact gathered prompt unless the user explicitly requests a change. - Use Nano Banana 2 by default, Lite for economy, or Pro for premium. - Treat GPT Image 2 as creator provenance, not as the packaged Replicate route. - Validate before spending and never render without `--approve-paid`. - Persist and resume the prediction ID. - Never exceed three attempts. - View the output and record specific visual-review notes before finalizing. - Never print, store, or commit `REPLICATE_API_TOKEN`.
{
"runtime": {
"node": ">=22",
"commands": ["npm"]
},
"providers": [
{
"name": "Replicate",
"models": [
"google/nano-banana-2-lite",
"google/nano-banana-2",
"google/nano-banana-pro"
]
}
],
"environment": [
{
"name": "REPLICATE_API_TOKEN",
"secret": true,
"requiredFor": ["render", "resume"]
}
],
"notes": [
"All smoke and validation commands are local.",
"The creator examples were labeled GPT Image 2; the packaged Replicate runtime uses Nano Banana 2 routes.",
"No proof generation was purchased for this package.",
"One render attempt is one paid prediction.",
"Paid generation requires explicit approval and is capped at three attempts."
]
}
{
"required": [
{
"id": "photo",
"type": "image",
"formats": ["jpg", "png", "webp"],
"minimumWidth": 512,
"minimumHeight": 512,
"maximumBytes": 26214400
}
],
"question": "Which photo should I give the Cool Tone Filter?",
"defaults": {
"model": "nano-banana-2",
"aspectRatio": "3:4",
"outputCount": 1
},
"modelRoutes": {
"economy": "google/nano-banana-2-lite",
"default": "google/nano-banana-2",
"premium": "google/nano-banana-pro",
"creatorShown": "GPT Image 2"
}
}
{
"progress": "Prepare -> Validate -> Transform -> Inspect",
"attemptCap": 3,
"stages": [
{
"id": "prepare",
"output": "One run pinned to the photo, exact gathered prompt, and selected model route.",
"paid": false,
"approvalRequired": false
},
{
"id": "validate",
"output": "The photo and prompt contract checked locally.",
"paid": false,
"approvalRequired": false
},
{
"id": "transform",
"output": "One Cool Tone Filter transform from one approved prediction.",
"paid": true,
"approvalRequired": true
},
{
"id": "inspect",
"output": "Automatic file checks plus an actual visual review.",
"paid": false,
"approvalRequired": true
}
]
}
{
"sourceReference": {
"creator": "@skaigenerated",
"postUrl": "https://www.instagram.com/p/Da-YbX_CuYi/",
"resourceTitle": "Cool Tone Filter Prompt",
"guide": "assets/source/guide.txt",
"cover": "assets/source/cover.jpg",
"referenceInset": "assets/source/snow-duo-reference.jpg",
"verification": "The Instagram DM delivered the public Google Doc with the exact GPT Image 2 prompt. The original carousel supplied its cover and six native output examples; promotional slides were omitted.",
"referenceNote": "Each source example includes its original inset. The packaged reference files are exact crops from those insets so Wiggly can also place the original at the top right of the consumer Format page."
},
"examples": [
{
"id": "snow-duo",
"path": "assets/source/snow-duo.jpg",
"referencePath": "assets/source/snow-duo-reference.jpg"
},
{
"id": "reclining-portrait",
"path": "assets/source/reclining-portrait.jpg",
"referencePath": "assets/source/reclining-portrait-reference.jpg"
},
{
"id": "canal-portrait",
"path": "assets/source/canal-portrait.jpg",
"referencePath": "assets/source/canal-portrait-reference.jpg"
},
{
"id": "beach-couple",
"path": "assets/source/beach-couple.jpg",
"referencePath": "assets/source/beach-couple-reference.jpg"
},
{
"id": "shutter-portrait",
"path": "assets/source/shutter-portrait.jpg",
"referencePath": "assets/source/shutter-portrait-reference.jpg"
},
{
"id": "london-candid",
"path": "assets/source/london-candid.jpg",
"referencePath": "assets/source/london-candid-reference.jpg"
}
]
}
{
"automatic": [
"Exactly 1 decodable JPG, JPEG, PNG, or WebP output",
"At least 640x800 pixels",
"Aspect ratio matches the selected route within 0.02",
"At least 50 KB"
],
"visual": [
"Faces, people, poses, clothing, composition, and key details remain recognizable",
"Bright flash, slightly cool color, and mild overexposure read as one coherent Y2K digital-camera treatment",
"Low-resolution texture feels photographic rather than smeared or artificially sharpened",
"A plausible timestamp sits in a corner without covering important content",
"The image keeps candid energy while avoiding warped faces, hands, logos, or watermarks"
],
"finalization": {
"automaticPassRequired": true,
"visualPassRequired": true,
"reviewNotesRequired": true,
"explicitApprovalFlag": "--approve-final"
}
}
{
"purpose": "Judge strict identity preservation, direct-flash Y2K color, believable mild overexposure, compact-camera texture, timestamp placement, and candid energy.",
"examples": [
{
"id": "snow-duo",
"title": "Snowy Night Snapshot",
"imagePath": "assets/source/snow-duo.jpg",
"referencePath": "assets/source/snow-duo-reference.jpg",
"model": "GPT Image 2",
"whyItWorks": [
"Both people, winter clothing, hand gestures, and setting stay recognizable",
"Direct flash separates the pair from the dark snowy background",
"Cool texture and a compact timestamp create a convincing found-camera frame"
]
},
{
"id": "reclining-portrait",
"title": "Reclining Flash Portrait",
"imagePath": "assets/source/reclining-portrait.jpg",
"referencePath": "assets/source/reclining-portrait-reference.jpg",
"model": "GPT Image 2",
"whyItWorks": [
"The relaxed pose, outfit, and surrounding architecture remain intact",
"Mild overexposure gives skin and light fabric an authentic flash-camera response",
"Low-resolution texture makes a polished portrait feel casually captured"
]
},
{
"id": "canal-portrait",
"title": "Canal-Side Digital Snapshot",
"imagePath": "assets/source/canal-portrait.jpg",
"referencePath": "assets/source/canal-portrait-reference.jpg",
"model": "GPT Image 2",
"whyItWorks": [
"The face, clothing, canal, and city context remain recognizable",
"Cool blues and bright frontal flash balance the fading outdoor light",
"The timestamp and texture add era without overpowering the portrait"
]
},
{
"id": "beach-couple",
"title": "Beach Couple Flash",
"imagePath": "assets/source/beach-couple.jpg",
"referencePath": "assets/source/beach-couple-reference.jpg",
"model": "GPT Image 2",
"whyItWorks": [
"Both identities, the affectionate pose, and the shoreline composition survive",
"A bright cool flash keeps the couple clear against the softer background",
"The slight blowout and grain feel candid rather than clinically perfect"
]
},
{
"id": "shutter-portrait",
"title": "Low-Light Street Portrait",
"imagePath": "assets/source/shutter-portrait.jpg",
"referencePath": "assets/source/shutter-portrait-reference.jpg",
"model": "GPT Image 2",
"whyItWorks": [
"The subject, black outfit, pose, and shuttered location remain recognizable",
"Cool direct flash creates crisp foreground detail without flattening the setting",
"Digital noise and mild exposure errors make the image feel era-authentic"
]
},
{
"id": "london-candid",
"title": "London Tourist Candid",
"imagePath": "assets/source/london-candid.jpg",
"referencePath": "assets/source/london-candid-reference.jpg",
"model": "GPT Image 2",
"whyItWorks": [
"The person, gesture, coat, river, and Big Ben remain immediately recognizable",
"Cool compact-camera color turns the travel portrait into a candid memory",
"Timestamp, grain, and slight overexposure stay readable without hiding key details"
]
}
]
}
{
"id": "cool-tone-filter",
"version": "1.0.0",
"title": "Cool Tone Filter",
"description": "Give one photograph an authentic Y2K digital-camera finish with bright flash, cool color, mild overexposure, timestamp texture, and candid energy.",
"status": "agent-ready",
"owner": "Wiggly Studio",
"source": {
"creator": "@skaigenerated",
"postUrl": "https://www.instagram.com/p/Da-YbX_CuYi/",
"resourceTitle": "Cool Tone Filter Prompt",
"resourceAccess": "Instagram DM to public Google Doc",
"ctaKeyword": "AI",
"modelShown": "GPT Image 2"
},
"outputs": [
"1 inspected Cool Tone Filter photograph",
"state.json with model and prediction provenance",
"quality-report.json with automatic and visual inspection"
]
}
{
"name": "wiggly-cool-tone-filter-format-kit",
"private": true,
"version": "1.0.0",
"type": "module",
"engines": {
"node": ">=22"
},
"scripts": {
"check:kit": "node kit-smoke.mjs",
"format:skai-image": "tsx scripts/skai-image-format.ts",
"test": "tsx tests/skai-image-format-runner.test.ts --format=cool-tone-filter && node kit-smoke.mjs"
},
"dependencies": {
"image-size": "2.0.2",
"replicate": "1.4.0",
"tsx": "4.20.6"
}
}
{
"slug": "cool-tone-filter",
"version": "1.0.0",
"promptPath": "prompts/transform.txt",
"input": {
"mode": "image",
"formats": ["jpg", "png", "webp"],
"minimumWidth": 512,
"minimumHeight": 512,
"maximumBytes": 26214400
},
"defaultModel": "nano-banana-2",
"modelRoutes": {
"nano-banana-2-lite": {
"label": "Nano Banana 2 Lite",
"lane": "economy",
"model": "google/nano-banana-2-lite",
"family": "nano-banana",
"aspectRatio": "3:4",
"outputFormat": "jpg"
},
"nano-banana-2": {
"label": "Nano Banana 2",
"lane": "default",
"model": "google/nano-banana-2",
"family": "nano-banana",
"aspectRatio": "3:4",
"outputFormat": "jpg",
"resolution": "1K"
},
"nano-banana-pro": {
"label": "Nano Banana Pro",
"lane": "premium",
"model": "google/nano-banana-pro",
"family": "nano-banana",
"aspectRatio": "3:4",
"outputFormat": "jpg",
"resolution": "1K"
}
},
"expectedOutputs": 1,
"maximumAttempts": 3,
"smokeInputPath": "assets/source/snow-duo-reference.jpg",
"smokeExamplePath": "assets/source/snow-duo.jpg",
"minimumOutputWidth": 640,
"minimumOutputHeight": 800,
"minimumOutputBytes": 51200,
"manualReview": [
"faces, people, composition, and key details stay recognizable",
"bright direct flash and slightly cool tones feel like a Y2K compact camera",
"mild overexposure and low-resolution texture remain photographic",
"the corner timestamp is readable and plausible",
"the result feels candid, energetic, and free of obvious AI artifacts"
]
}
Run it with a coding agent
The agent reads this version’s instructions, checks the requirements, and walks you through the approved workflow. Review the inputs and estimate before starting.
Typical run
One Replicate image charge and usually 2-4 min
You provide
One JPEG, PNG, or WebP photograph at least 512px on both axes · A Replicate API token only when generation is approved
Output
One inspected 3:4 Cool Tone Filter photograph plus prediction and quality provenance