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She makes $3k + a month from AI UGC so real your brain thinks she’s human. Chopsticks to lips. Micro skin texture. Visible pores. Individual eyebrow hairs. Reflections in her eyes. You saw light and skin and decided she was real. She isn’t. The workflow: Strong reference image →...

157,763 просмотров • 1 месяц назад •via X (Twitter)

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Contact sheet prompting is the hottest AI video technique right now 🤯 One image in → 6 consistent frames out → cinematic video ads in minutes. But everyone's doing it manually. I automated the entire workflow in n8n + Airtable. Here's why contact sheet prompting is blowing up: You give AI one reference image, and it generates a grid of consistent shots — same face, same outfit, different angles. Instant storyboarding, full creative control, no photoshoots. The problem? It's super tedious: → Write the prompt manually → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one by one → Repeat for every product This n8n automation handles all of it: → Upload character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 generates smooth transitions between frames → You get 5 video clips ready to stitch Approval checkpoints at every stage, no surprises. What lands in your Airtable: → AI-generated creative prompt → Core hero image (model + product) → 6-frame contact sheet → 5 cinematic video clips → Full control before each generation step Contact sheet prompting on autopilot. I filmed a 20 minute Loom video showing you exactly how I set it up. Want the Loom + the complete n8n workflow + Airtable base? > Comment "SHEET" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

53,637 просмотров • 7 месяцев назад

Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)

Mike Futia

24,576 просмотров • 6 месяцев назад

Google Gemini Omni is f*cking insane for UGC ads 🤯 Google just dropped their new video model and I spent the past 24 hours putting it through its paces. Multi-shot UGC ads -> Consistent creator across every scene ->Agent mode that runs the whole session. Perfect for DTC brands and agencies who need UGC creative at volume without hiring creators or paying per-video platform fees. If you're briefing creators every week, waiting days for footage, paying $150–$300 per UGC video, and still getting ads that miss the brand vibe... Gemini Omni eliminates the entire loop: → Generate a realistic AI creator from a single image prompt → Upload your creator + product image, reference both by filename in every prompt → Agent mode writes and runs your full production session → Creator stays consistent across every scene change and outfit → Product label accurate, correct color, readable text → 5-shot direct response ad in one briefing No creator briefs. No waiting for footage. No per-video platform fees. What you get: → Multi-shot UGC ads with a locked creator across every scene → AI creator image prompt tuned for realism — not plastic AI faces → Asset tagging system that keeps your product consistent shot to shot → A reusable workflow: new product, new angle, same pipeline I also built a Claude Cowork skill that writes your entire production package before you generate a single frame: Creator prompt, shot list, dialogue, asset-tagged prompts, and voiceover script. I put together a full playbook with the Claude skill file and the exact workflow to run this yourself. Want access for free? > Like this post > Comment "OMNI" And I'll send it over (must be following so I can DM)

Mike Futia

33,695 просмотров • 2 месяцев назад

This guy built an AI pipeline that generates hyperrealistic fashion models in 47 minutes and now dropshippers pay him $1,400 to clone the entire system. He got tired of watching e-com brands lose $8K per photoshoot when a single product angle changed so he built a 9-node workflow that generates 127 product videos from one Pinterest photo without hiring a single model. Here's the exact breakdown: → Claude writes a 34-parameter JSON brand DNA before any image is touched target psychographics, price anchor, vibe matrix, anti-inspiration blacklist → Pinterest becomes the model source library but you can't just download and animate → Kling 2.6 takes that static JPG and turns it into 5-second video but only after the prompt architecture is locked → Negative prompt node runs 41 exclusion terms: no plastic skin, no CGI glow, no symmetry artifacts, no doll face, no synthetic lighting → That one step kills the "AI look" that tanks engagement by 67% in the first 3 seconds → TikTok Studio uploads 19 videos in one batch with zero manual captioning because the brand voice was pre-programmed in step one → Atlas scrapes Amazon product links and auto-generates a Shopify store with hero images, pricing tiers, scarcity copy, and mobile-optimized checkout in 90 seconds → The store goes live before the first TikTok video finishes processing The key move 94% of people skip: you can't animate the photo before you inject the negative prompt. If you send a raw Pinterest image straight into image-to-video the face morphs into a wax figure. The fabric loses texture. The hands grow extra fingers. The whole thing screams "AI" and your CTR dies. His system runs the exclusion filter first so the model moves like she's shot on an iPhone 15 Pro in natural light. One brand hit 2.6M views on TikTok in 11 days with zero paid ads and converted at 3.7% because the videos looked like organic UGC not polished studio content. Brands now pay him $1,400 for the full pipeline setup + $340/month to keep the store synced with new product drops and seasonal video batches. The entire system runs on $23/month in API costs and one laptop. No photographer. No model agency. No product samples. Just a prompt template, a Pinterest account, and the discipline to filter out the AI artifacts before you render movement.

Kaidu

534,198 просмотров • 2 месяцев назад

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)

NOVA

63,871 просмотров • 4 месяцев назад

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)

Mike Futia

211,645 просмотров • 5 месяцев назад

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

12,846 просмотров • 1 месяц назад

I genuinely cannot understand how someone can watch this story and still stand there, looking at two women, and somehow decide that the wrong one is the victim. On one side, you have a girl (Yıldız) who has been mistreated her entire life. Since the moment she was born, she was treated like a sacrifice for a conflict she was never even part of and later we find out that this conflict never even existed. Her right to study was taken from her. She was pushed into a marriage at a very young age just imagine being six, seven, eight years old, living in fear of being tied to someone you don’t even know. She was treated like a servant in her own home, by the very people she thought were her family. And just when she gets close to the happiness she dreamed of, the man she was engaged to shows up with another wife. She gets mistreated by that wife, by his family, and even (unintentionally) by him, because he was trying to run away from his own feelings, and that only caused her more heartbreak. The whole world was literally against her. She fought through all of that, only to find out in the end that everything she suffered for was based on something that wasn’t even real. Her entire life was built on a lie. That she isn’t even part of that family that she has literally no one in this world. Now on the other side… You have a girl (Melek) who, yes, was taken from her biological mother but she was raised by loving parents. She had everything anyone could wish for: education, freedom, a happy childhood, a healthy environment. She lived her life, fell in love, went out, made choices and no one questioned her, no one controlled her. And then what did she do? She found out that her man was engaged to another woman before marrying her (and even saw him marry her) and instead of holding on to her dignity, she chose to stay, to fight for a man who lied to her, to hold onto a marriage he tried to end multiple times. She used her unborn child to keep him tied to her. She lied constantly, and her excuse was that she was “protecting her marriage” a marriage that was already broken from the moment Serhat removed that ring at the airport in episode one. She tried to hand Yıldız (a woman who had already suffered enough) over to dangerous people. Then she found out the truth about her own birth (that her father ra*ped her mother.)And still no empathy. No moment of humanity toward her own mother. All she cared about was herself. And even though none of this had anything to do with Yıldız, she still found a way to blame it on her. Instead of holding her father accountable, she went and made a deal with him to get rid of Yıldız. She literally made a deal with the devil just to hurt Yıldız one more time. And after all of that… you want me to feel sorry for her? You want me to call her a victim? I honestly cannot believe we are living on the same planet with people who see this and still say, “she’s the victim.” Not morally. Not logically. Not emotionally. There is no world where this makes sense. It’s like watching someone clearly cause harm, and still calling them the victim and actually BELIEVING it. #HalefKöklerinÇağrısı

Maurora🫦

10,530 просмотров • 4 месяцев назад