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🚨 Skip generic prompts, use JSON codes to unlock Nano Banana’s real power 🍌 These aren’t tips, they’re 100+ precision-crafted JSON codes that turn Nano Banana into your ad-design genius Why JSON? Vague prompts get you trash JSON codes force the model to follow structure, layouts, colors, shadows, delivering... show more

Taher Zari | CRO & Shopify Landing Pages

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248,302 views • 1 year ago •via X (Twitter)

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Skip generic prompts—use JSON codes to unlock ChatGPT’s real power Last time, I dropped a guide. This? A whole new beast These aren’t tips—they’re 23+ precision-crafted JSON codes that turn ChatGPT into your ad design genius Why JSON? Vague prompts get you trash JSON codes force ChatGPT to think smartly, delivering pro-level visuals that sell How? Copy-paste these bad boys Watch them crank out: ✅ Scroll-stopping ads ✅ Social posts that pop ✅ Product visuals with edge You get: 23+ JSON codes (100+ Lines each), A guide + examples Want it? Like this Comment 'JSON' Follow (for the DM)

Skip generic prompts—use JSON codes to unlock ChatGPT’s real power Last time, I dropped a guide. This? A whole new beast These aren’t tips—they’re 23+ precision-crafted JSON codes that turn ChatGPT into your ad design genius Why JSON? Vague prompts get you trash JSON codes force ChatGPT to think smartly, delivering pro-level visuals that sell How? Copy-paste these bad boys Watch them crank out: ✅ Scroll-stopping ads ✅ Social posts that pop ✅ Product visuals with edge You get: 23+ JSON codes (100+ Lines each), A guide + examples Want it? Like this Comment 'JSON' Follow (for the DM)

Taher Zari | CRO & Shopify Landing Pages

214,138 views • 1 year ago

A useful trick for making AI photos look 100% real: (it's not always the model — it can be the color grading) Out of the box, Nano Banana Pro can have a gray, flat look. Good composition, but these scream AI. Here's the system that fixes it: → Grab a reference photo from Pinterest with the exact aesthetic you want → Feed it to ChatGPT 5.2 with a prompt that extracts a detailed color grading JSON → Paste that JSON into image generator (Calico AI) → Generate your product photo. (the colors are now based on the reality you specify, not AI defaults) → Save that character as your reference for facial consistency across future shots From here you can build a full UGC model library. No creators. No shoots. Comment "IMAGE" if you want me to send you every prompt in this system (must be following so I can dm you!).

A useful trick for making AI photos look 100% real: (it's not always the model — it can be the color grading) Out of the box, Nano Banana Pro can have a gray, flat look. Good composition, but these scream AI. Here's the system that fixes it: → Grab a reference photo from Pinterest with the exact aesthetic you want → Feed it to ChatGPT 5.2 with a prompt that extracts a detailed color grading JSON → Paste that JSON into image generator (Calico AI) → Generate your product photo. (the colors are now based on the reality you specify, not AI defaults) → Save that character as your reference for facial consistency across future shots From here you can build a full UGC model library. No creators. No shoots. Comment "IMAGE" if you want me to send you every prompt in this system (must be following so I can dm you!).

David Roberts

21,123 views • 6 months ago

VEO 3 + JSON prompting is pretty wild 🤯 These AG1 product videos were created entirely with AI. And it's all about the prompt. This JSON prompting technique will take any generic VEO3 prompt.. And turn it into surgical-precision video generation with brand consistency. Perfect for creative strategists, growth marketers & ad agencies. But instead of manually writing paragraph prompts and hoping for good outputs... Just use structured JSON prompts and get brand-ready videos with way higher coherence. The best part? Your prompt precision goes through the roof -> organized by camera angles, brand elements, lighting specs, & scene transitions. Here's what JSON prompting gives you: → structured data instead of paragraph descriptions → precise creative direction for VEO 3 → consistent brand-ready video outputs → way higher prompt coherence → eliminates the creative lottery problem Now you've got predictable video generation instead of random outputs. This isn't perfect yet — but in 6 months when brand videos need this precision? You'll be ahead of everyone. Want the full JSON prompt templates? Comment "JSON" + follow and I'll send it over (must be following so I can DM)

Mike Futia

252,615 views • 1 year ago

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

Mike Futia

39,872 views • 1 year ago

turn any product photo into a full-blown ugc factory with n8n no models, no freelancers, no photoshop i built a workflow that takes a single product image and blends it into lifestyle shots of models -> exports ready-to-use ugc content in minutes here’s how it works: - drop any product photo into the flow - it pulls model shots from your folder auto-generates composites with your product placed naturally - saves finished images into a new folder we’ve been using it to spin out ad variants weekly want the json to try it? comment “UGC” + repost + follow and i’ll DM you the full build (must be following so i can DM)

turn any product photo into a full-blown ugc factory with n8n no models, no freelancers, no photoshop i built a workflow that takes a single product image and blends it into lifestyle shots of models -> exports ready-to-use ugc content in minutes here’s how it works: - drop any product photo into the flow - it pulls model shots from your folder auto-generates composites with your product placed naturally - saves finished images into a new folder we’ve been using it to spin out ad variants weekly want the json to try it? comment “UGC” + repost + follow and i’ll DM you the full build (must be following so i can DM)

J.B.

28,487 views • 11 months ago

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)

David Roberts

230,572 views • 8 months ago

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

Nekt0

14,833 views • 2 months ago

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took Alex Cooper's brilliant framework and automated the whole thing inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)

Mike Futia

424,752 views • 5 months ago

Turn your competitor’s reviews into ad copy that eats their lunch I built an n8n automation that stalks Amazon products, scrapes reviews, and turns them into performance creative - in under 5 minutes. here’s how it works: - paste any Amazon product URL - scrapes 100+ reviews and filters high-signal insights - claude analyzes and gives you: –> top pain points & desires –> scroll-stopping copy pulled from real customers –> positioning gaps & opportunities –> use-case language you probably missed I’ve used this to: – Launch better ads – Spot product gaps before they cost us – Write landing pages that actually convert want the full build? Comment “REVIEWS” + follow and I’ll DM you everything (must be following so I can DM)

Turn your competitor’s reviews into ad copy that eats their lunch I built an n8n automation that stalks Amazon products, scrapes reviews, and turns them into performance creative - in under 5 minutes. here’s how it works: - paste any Amazon product URL - scrapes 100+ reviews and filters high-signal insights - claude analyzes and gives you: –> top pain points & desires –> scroll-stopping copy pulled from real customers –> positioning gaps & opportunities –> use-case language you probably missed I’ve used this to: – Launch better ads – Spot product gaps before they cost us – Write landing pages that actually convert want the full build? Comment “REVIEWS” + follow and I’ll DM you everything (must be following so I can DM)

J.B.

25,300 views • 1 year ago

Nano Banana Pro + n8n is f*cking wild 🤯 This automation recreates your competitors' best Facebook ads with your product in 30 seconds. All inside n8n + Airtable. Perfect for DTC brands & agencies who to quickly scale their Facebook ad statics. The problem: You see a killer competitor ad. Perfect layout, colors, messaging—but it's their product, not yours. You screenshot it. Brief a designer. Wait 3-5 days. Pay $200. Hope they nail it. This n8n automation solves it: → Upload competitor ad image in Airtable → Upload your product image → Click "Generate" button → Nano Banana Pro swaps only the product, keeps everything else identical → Returns 4 variations in 30 seconds No designer wait times. No recreation guesswork. What you get in Airtable: → Competitor-inspired ads with your product → Same proven layout and design language → 4 variations per request for A/B testing → Everything tracked and organized → Production-ready 4K quality Built 100% in n8n + Airtable. Want the complete template + setup video? > Comment "ADS" > Like this post And I'll send it over (must be following so I can DM)

Nano Banana Pro + n8n is f*cking wild 🤯 This automation recreates your competitors' best Facebook ads with your product in 30 seconds. All inside n8n + Airtable. Perfect for DTC brands & agencies who to quickly scale their Facebook ad statics. The problem: You see a killer competitor ad. Perfect layout, colors, messaging—but it's their product, not yours. You screenshot it. Brief a designer. Wait 3-5 days. Pay $200. Hope they nail it. This n8n automation solves it: → Upload competitor ad image in Airtable → Upload your product image → Click "Generate" button → Nano Banana Pro swaps only the product, keeps everything else identical → Returns 4 variations in 30 seconds No designer wait times. No recreation guesswork. What you get in Airtable: → Competitor-inspired ads with your product → Same proven layout and design language → 4 variations per request for A/B testing → Everything tracked and organized → Production-ready 4K quality Built 100% in n8n + Airtable. Want the complete template + setup video? > Comment "ADS" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

21,515 views • 9 months ago

Nano Banana Pro + n8n is absolutely insane 🤯 Google just released Nano Banana Pro and I already have it running inside n8n + Airtable. The use case? Steal your competitors' Facebook static ads. Perfect for DTC brands & agencies who see competitor ads they want to replicate with their own products. Nano Banana Pro is SICK: → 4K resolution output (studio quality) → Multiple image inputs (up to 14 images in one generation) → Perfect text rendering in multiple languages → Maintains consistency across up to 5 people Here's the workflow: You see a killer competitor Facebook ad. Perfect layout, colors, messaging—but it's their product, not yours. Instead of briefing a designer and waiting days for recreations... This automation does it in 30 seconds: → Upload competitor ad image in Airtable → Upload your product image → Click "Generate" button → Nano Banana Pro swaps ONLY the product → Keeps everything else identical (layout, fonts, colors, graphics) → Returns 4 variations automatically → All delivered back to Airtable instantly No designer bottlenecks. No recreation from scratch. No guessing what works. What you get: → Competitor-inspired ads with your product → Same proven layout and design language → 4 variations per request for testing → Everything organized in Airtable → Feels like a mini creative co-pilot Built 100% in n8n + Airtable. I filmed a 30-minute Loom video walking you through how to set it up step-by-step. Want the n8n template, Airtable base, and Loom video for free? > Comment "BANANA" > Like this post And I'll send it over (must be following so I can DM)

Nano Banana Pro + n8n is absolutely insane 🤯 Google just released Nano Banana Pro and I already have it running inside n8n + Airtable. The use case? Steal your competitors' Facebook static ads. Perfect for DTC brands & agencies who see competitor ads they want to replicate with their own products. Nano Banana Pro is SICK: → 4K resolution output (studio quality) → Multiple image inputs (up to 14 images in one generation) → Perfect text rendering in multiple languages → Maintains consistency across up to 5 people Here's the workflow: You see a killer competitor Facebook ad. Perfect layout, colors, messaging—but it's their product, not yours. Instead of briefing a designer and waiting days for recreations... This automation does it in 30 seconds: → Upload competitor ad image in Airtable → Upload your product image → Click "Generate" button → Nano Banana Pro swaps ONLY the product → Keeps everything else identical (layout, fonts, colors, graphics) → Returns 4 variations automatically → All delivered back to Airtable instantly No designer bottlenecks. No recreation from scratch. No guessing what works. What you get: → Competitor-inspired ads with your product → Same proven layout and design language → 4 variations per request for testing → Everything organized in Airtable → Feels like a mini creative co-pilot Built 100% in n8n + Airtable. I filmed a 30-minute Loom video walking you through how to set it up step-by-step. Want the n8n template, Airtable base, and Loom video for free? > Comment "BANANA" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

88,631 views • 9 months ago

📖THE SEEDANCE 2.0 PROMPT FORMAT THAT NOBODY IS USING BUT EVERYONE SHOULD Most people use Seedance 2.0 wrong. They type a normal prompt and wonder why the result looks generic. The difference between these two visuals isn't a better idea — it's a better prompt format. Normal prompt gives you a good result. JSON prompt gives you a cinematic one. Here's why it works: A normal prompt describes what you want. A JSON prompt tells Seedance exactly how to build the scene — camera movement, lighting angle, atmosphere, texture, depth, timing. You're not asking for a video. You're engineering one. The crystal dolphin jumping above an ancient courtyard with floating jellyfish — same concept, two completely different outputs. The JSON version has golden hour, dramatic clouds, volumetric light, and a sense of scale the normal prompt never reached. The glowing lotus fountain — same story. Normal prompt gives you a clean render. JSON gives you a full cinematic frame with layered depth, warm lantern light, and a composition that looks like it belongs in a feature film. The workflow that produces this: • Step 1 — Write your scene idea in plain language first •Step 2 — Ask Claude to convert it into a structured JSON prompt with fields for: subject, environment, camera, lighting, mood, motion, color grade • Step 3 — Paste the JSON into Seedance 2.0 • Step 4 — Take the best clip into Premiere Pro for final color correction and sound design The tools are free or cheap. The knowledge of how to prompt is what separates the results. This is the gap most creators never close. 📥 BACK TOMORROW. There will be new life hacks 🔖 The full guide is pinned below. Save it before you need it.

📖THE SEEDANCE 2.0 PROMPT FORMAT THAT NOBODY IS USING BUT EVERYONE SHOULD Most people use Seedance 2.0 wrong. They type a normal prompt and wonder why the result looks generic. The difference between these two visuals isn't a better idea — it's a better prompt format. Normal prompt gives you a good result. JSON prompt gives you a cinematic one. Here's why it works: A normal prompt describes what you want. A JSON prompt tells Seedance exactly how to build the scene — camera movement, lighting angle, atmosphere, texture, depth, timing. You're not asking for a video. You're engineering one. The crystal dolphin jumping above an ancient courtyard with floating jellyfish — same concept, two completely different outputs. The JSON version has golden hour, dramatic clouds, volumetric light, and a sense of scale the normal prompt never reached. The glowing lotus fountain — same story. Normal prompt gives you a clean render. JSON gives you a full cinematic frame with layered depth, warm lantern light, and a composition that looks like it belongs in a feature film. The workflow that produces this: • Step 1 — Write your scene idea in plain language first •Step 2 — Ask Claude to convert it into a structured JSON prompt with fields for: subject, environment, camera, lighting, mood, motion, color grade • Step 3 — Paste the JSON into Seedance 2.0 • Step 4 — Take the best clip into Premiere Pro for final color correction and sound design The tools are free or cheap. The knowledge of how to prompt is what separates the results. This is the gap most creators never close. 📥 BACK TOMORROW. There will be new life hacks 🔖 The full guide is pinned below. Save it before you need it.

Zentrix⌚️

136,686 views • 2 months ago

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce product page → Nano Banana create 4 images showcasing each angle of the product → Google's Veo 3.1 animates a 360° motion video using the generated nano banana images → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how DTC companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see what a product looks and feels like before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "MOTION" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce product page → Nano Banana create 4 images showcasing each angle of the product → Google's Veo 3.1 animates a 360° motion video using the generated nano banana images → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how DTC companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see what a product looks and feels like before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "MOTION" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

David Roberts

170,430 views • 8 months ago

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

Jordan Daniel Chesney

62,089 views • 11 months ago

I just vibe coded a static ad generator in Claude Code that creates 100+ Meta ads in minutes. All using the new, insane ChatGPT Images 2.0 model. One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code on the new ChatGPT Images 2.0. Perfect for DTC brands and agencies who need more statics at scale. Here's how it works: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool fires every prompt to ChatGPT Images 2.0 with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

52,609 views • 4 months ago

faceless creators are paying crazy money for this kind of 3D AI animations, they’re pulling millions of views right now Nano Banana 2 🍌came to make high productions affordable for more people the video below literally took me 4 minutes on CalliopeLabs: > selected the “3D Manikin” template > transcribed a 2Mill views vid > pasted that script > adjusted to 2min duration clicked on generate and this was the result select the High image model to use Nano Banana 2 in Calliope (the template use it by default) for saving costs i recommend to create your own template with: - i2v disabled - “High” for images - generate without auto-complete (default) - animate each scene with the Medium video model or the Low model (cheap af, useful for “non-character” scenes) (this example used the Medium vid. model 👇🏼) i’ve recorded the whole quick process comment “rt” + follow and i’ll send it to you (must follow so i can DM)

faceless creators are paying crazy money for this kind of 3D AI animations, they’re pulling millions of views right now Nano Banana 2 🍌came to make high productions affordable for more people the video below literally took me 4 minutes on CalliopeLabs: > selected the “3D Manikin” template > transcribed a 2Mill views vid > pasted that script > adjusted to 2min duration clicked on generate and this was the result select the High image model to use Nano Banana 2 in Calliope (the template use it by default) for saving costs i recommend to create your own template with: - i2v disabled - “High” for images - generate without auto-complete (default) - animate each scene with the Medium video model or the Low model (cheap af, useful for “non-character” scenes) (this example used the Medium vid. model 👇🏼) i’ve recorded the whole quick process comment “rt” + follow and i’ll send it to you (must follow so i can DM)

Sergio Gil

14,189 views • 6 months ago

I just vibe coded a static ad generator in Claude Code that creates 100+ Facebook ads in minutes 🤯 All using the new insane ChatGPT Images 2.0 model. Upload one image of your brand or product → get 100+ brand-new ad concepts across every DR archetype, each one matched to a specific customer persona. Built 100% in Claude Code. Perfect for DTC brands and agencies who need to rapidly test mass creative statics at scale. Here's how it works: → Upload a single image of your brand or product → Add your brand kit (colors, fonts, logos) → Tool generates 10 customer personas from your brand research (Depleted Woman, Burned-Out Professional, Brain-Fogged Mom) → Pick how many concepts you want (40, 60, 100+) across archetypes — Bold Billboard, Listicle, iPhone Notes, iMessage, UI Hijack, Us vs Them, Press/Authority, Lo-Fi Sketch, UGC → Hit "Generate All" → finished ads render in seconds, each one targeting a specific persona with its own copy angle No more paying "static ad agencies" $3,000 per month. What you get: - 100+ on-brand static ads from a single product photo - Perfect product and text adherence powered by ChatGPT Images 2.0 - Persona-specific copy on every ad, no generic hooks - Iterate and scale statics in minutes instead of weeks - Reusable brand kits + persona libraries you build once and pull from forever - Every ad ships with the exact prompt and persona attached, so you can iterate instead of starting over. This is essentially a static ad agency in a box. I put together a complete playbook which includes EVERY single prompt I used to make this in Claude Code. Want all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

109,479 views • 3 months ago

lots of talk about nano banana, but NOT much around how to actually get the MOST out of it. what if i made a 28 min tutorial with Logan Kilpatrick from google who showed us the ins and outs of this photoshop killer? here’s how to squeeze the most out of it: 1/ think in campaigns, not images → upload a single product photo and spin out billboards, social ads, and packaging mockups in one session. 2/ edit with intent → “make the background a neon diner” beats “change background.” specificity = magic. multi-turn prompting → don’t stop at one edit. iterate like you would with a designer until it nails your taste. 3/ product placement → drop your product into real-world contexts instantly. show a coffee mug in a paris café or a nike shoe on a basketball court. 4/ build niche tools → this is where the upside is. curtain color previewers, restaurant menu ad generators, ecommerce mockup studios. small markets that add up. 5/ almost no one is building with it yet. the people who figure out these workflows early will set the playbook for everyone else. google’s new image model is fast, cheap, and shockingly good. seconds to generate. ~4¢ per image. it feels less like photoshop and more like a creative partner that never sleeps. maybe share this with a friend. you could nano banana together. this is a free episode. i want to see what you build. i'm rooting for you. it's nano banana time, baby.

lots of talk about nano banana, but NOT much around how to actually get the MOST out of it. what if i made a 28 min tutorial with Logan Kilpatrick from google who showed us the ins and outs of this photoshop killer? here’s how to squeeze the most out of it: 1/ think in campaigns, not images → upload a single product photo and spin out billboards, social ads, and packaging mockups in one session. 2/ edit with intent → “make the background a neon diner” beats “change background.” specificity = magic. multi-turn prompting → don’t stop at one edit. iterate like you would with a designer until it nails your taste. 3/ product placement → drop your product into real-world contexts instantly. show a coffee mug in a paris café or a nike shoe on a basketball court. 4/ build niche tools → this is where the upside is. curtain color previewers, restaurant menu ad generators, ecommerce mockup studios. small markets that add up. 5/ almost no one is building with it yet. the people who figure out these workflows early will set the playbook for everyone else. google’s new image model is fast, cheap, and shockingly good. seconds to generate. ~4¢ per image. it feels less like photoshop and more like a creative partner that never sleeps. maybe share this with a friend. you could nano banana together. this is a free episode. i want to see what you build. i'm rooting for you. it's nano banana time, baby.

GREG ISENBERG

175,454 views • 1 year ago

How to prompt hyper-realistic UGC avatars for your ads I've spent 3 weeks fine-tuning the prompts that power ads like these. Here is the 80/20: 1. Be specific about imperfections "His hair is thinning slightly on top with some gray at the sides, and his face shows a few natural wrinkles from years of sun exposure." 2. Specify the camera shot "A low-resolution, authentic selfie-style video recorded with an iPhone front camera." 3. Define imperfect lighting "The lighting is natural and slightly uneven, with a bit of grain to preserve an unpolished, realistic, everyday feel" For eComm operators who want to scale ad creative fast, this is a huge unlock. No more spending hundreds on UGC creators. No more shipping out endless product samples. But you have to understand the prompting. If it looks fake, it simply won't perform. If you want me to send you the full detailed prompts that generated these characters: Like & RT this post Comment "Prompts" Follow me (so the auto-dm can send) i'll dm you

How to prompt hyper-realistic UGC avatars for your ads I've spent 3 weeks fine-tuning the prompts that power ads like these. Here is the 80/20: 1. Be specific about imperfections "His hair is thinning slightly on top with some gray at the sides, and his face shows a few natural wrinkles from years of sun exposure." 2. Specify the camera shot "A low-resolution, authentic selfie-style video recorded with an iPhone front camera." 3. Define imperfect lighting "The lighting is natural and slightly uneven, with a bit of grain to preserve an unpolished, realistic, everyday feel" For eComm operators who want to scale ad creative fast, this is a huge unlock. No more spending hundreds on UGC creators. No more shipping out endless product samples. But you have to understand the prompting. If it looks fake, it simply won't perform. If you want me to send you the full detailed prompts that generated these characters: Like & RT this post Comment "Prompts" Follow me (so the auto-dm can send) i'll dm you

David Roberts

33,853 views • 9 months ago

THE FACEBOOK AD THIEF I just built an AI agent that "steals" my competitor's best Facebook ads and makes them mine. Perfect for ecom owners, and I'm giving it away for free. (Saves 15+ hours per week on creative research, boosts ad performance by 40%) Here's how the Facebook Ad Thief works: → Scrapes Facebook's ad library to find competitors' live campaigns → Uses Google's Gemini AI to analyze winning ad structures and messaging → Rebuilds those ads with your brand and products using advanced prompting and Nano Banana → Automatically saves all variations to Google Drive for easy access → Handles complex scenarios like multiple product placements This automation eliminates the manual grind of competitor research and creative ideation. Instead of spending hours scrolling through ad libraries and trying to reverse-engineer what's working, I get proven ad concepts delivered automatically. The real power? It uses "meta-prompting" - AI writing prompts for other AI - to handle edge cases that generic prompts miss. Want the complete system? Here's how to get it: 1. Like & RT this post 2. Follow my profile so I can DM you 3. Comment "ADTHIEF" I'll send you the entire n8n workflow template, all of the prompting, and a full step-by-step setup video for free. Stop reinventing the wheel. Start stealing what already works.

David Roberts

137,805 views • 11 months ago