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The pipeline optimisation for brands' visuals Batch image production in 1 window: 〰️ take the image 〰️ rotate the virtual camera 〰️ take shots 〰️ edit & upscale 〰️ resize aspect ratios if needed 〰️ download -> finalise in Figma / Ps One designer becomes a factory 👇

AmirMušić

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19,785 Aufrufe • vor 3 Monaten •via X (Twitter)

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🚀 Photo to Video Ads is now live on Pollo AI Turn any product photo into scroll-stopping video ads in seconds. No camera. No crew. No editing. Built for e-commerce brands, Shopify sellers, and modern DTC marketers in beauty, fashion, and beyond. Here’s a real example — a Laneige Lip Sleeping Mask ad generated from just one product image 👇 Want pro-level product videos for your store? Download the Pollo AI App now. Check the comments for the download link and quick access 👇 #Ecommerce #ProductAds #VideoAds #Shopify #AdCreatives #DigitalMarketing #SocialCommerce

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📖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.

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“The Impossible” 1964 shot that reportedly left Martin Scorsese speechless. This stunning sequence from the 1964 film I Am Cuba (Soy Cuba) is still regarded as one of the most technically daring shots ever captured on camera. Long before CGI or stabilized drone systems existed, director Mikhail Kalatozov and cinematographer Sergey Urusevsky engineered the sequence using elaborate rigs of cables, pulleys, and custom-built camera setups. The camera begins at street level, ascends the exterior of a building, moves through a cigar factory, and then glides out over the city in a single continuous take, creating a fluid, gravity-defying movement that feels strikingly modern even by today’s standards. The shot is also renowned for its surreal visual quality. Shot on specialized infrared film, the vegetation appears almost luminous white against a deep black sky, giving the image an otherworldly, dreamlike atmosphere. Initially overlooked as Cold War propaganda, the film was rediscovered decades later and restored in the 1990s, after filmmakers like Martin Scorsese and Francis Ford Coppola praised its extraordinary craftsmanship. Even now, it remains a benchmark for what’s possible in practical cinematography.

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IF I WAS FORCED to build a $20K/month AI creative agency using nothing but Photoshop, starting from 0, here's exactly what I would do in steps: The production setup (Days 1–3) 1. Download the Higgsfield plugin inside Photoshop — takes 5 minutes 2. You now have: sketch-to-image, layer decomposer, mockup studio, relight, upscale, face swap, character swap, background removal, AI stylist — all in 1 tool 3. Old creative agency workflow: designer + photographer + editor + 3–5 day turnaround 4. New workflow: 1 person, Photoshop, 30 minutes per deliverable The offer (Days 3–7) 5. Pick 1 niche — ecom brands, real estate agents, or course creators all need visuals constantly 6. Build a simple offer: "10 ad creatives delivered in 24 hours — $500" 7. Old agencies charge $2,000–$5,000/month for the same output 8. Your cost to deliver: $0 beyond the plugin. Pure margin. 9. Create 3 sample mockups using the tool — drop a product image in, generate 9 variations, pick the best 3 10. That's your portfolio. Built in under 1 hour. Cost: $0. The client machine (Days 7–20) 11. Go on X and search "[niche] + need a designer" or "[niche] + creatives" 12. DM 50 people per day — "I'll make you 3 free ad creatives in 24 hours, no catch" 13. Deliver them in 30 minutes using the plugin 14. 50 DMs/day × 14 days = 700 outreach messages 15. Conservative 3% conversion = 21 people see the free work 16. Close 5 of them at $500 = $2,500 in week 3 The scale (Days 20–30) 17. Upsell every client to a $1,500/month retainer — 10 creatives/week, unlimited revisions 18. 1 client per day in Photoshop takes 45 minutes max 19. 10 retainer clients × $1,500 = $15,000/month 20. Add 3 one-off clients at $500/month = $1,500 21. Add a $997 "AI creative system" course teaching other people this exact workflow = $3,000+/month from 3 sales The math: 50 DMs/day × 30 days = 1,500 outreach messages 3% book a call = 45 calls 40% close at $1,500/month retainer = 18 clients 18 × $1,500 = $27,000/month recurring Time per client per day: 45 minutes Total daily work: 4–5 hours Every mockup — AI. Every restyle — AI. Every layer rebuild — AI. Every variation — AI. No photographer. No designer and no reshoot. Start it here. 👇

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Claude + GPT Image 2 + Seedance + Meta Ads MCP Just fired my $10k/month performance marketing agency. Here's the exact stack (and how it runs): Step 1: Research Hand Claude your product page, your competitors' pages, and your best ad angles. It spits out a full brand brief + competitor breakdown in minutes. No strategist. No $200/hour consultant. Step 2: Static ads in seconds Claude crafts image prompts from your brief. Drop those into GPT Image 2. You get scroll-stopping creative. Batched. On-brand. No Figma needed. Step 3: Video ads that convert Claude writes video prompts. Feed them into Seedance 2.0. UGC-style clips. AI actor formats. Product showcases. All generated. Zero filming. (Both GPT Image 2 + Seedance are live on HeyOz right now.) Step 4: Publish + optimize on autopilot Hook Claude into Meta Ads MCP. It pushes your creatives live, tracks performance, and keeps iterating. Your agency was billing you hourly for this exact thing. I documented the full workflow in a guide: prompts, setup, and the exact MCP config. Why this matters: Most brands are still bleeding money on slow, overpriced creative production. The ones who crack this in the next 90 days will own an unfair advantage. Don't be the brand that figures it out too late. Comment "REPLACE" and I'll DM it to you.

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Everyone's sleeping on image-to-3D AI models. They can make your app look incredibly unique, with just a little effort. Here's how. This is my calorie tracker, built in a week with nothing but prompting. Just Claude Code + a couple APIs. The visuals are all AI-generated. I'll be sharing the full workflow + all the crazy technical stuff Claude and I did to make this work, so nobody has to struggle through it like me. Deep dive coming soon! Till then, this is the high-level idea: 1. Get a clean image of the food (or whatever your asset is) - In my app, the user describes foods via text, or attaches images (or both) - If text, an LLM extracts the food description and formats it into a specific prompt I tuned for this design, and we generate an image using Z-Image Turbo through fal - If image, we do the same thing but with FLUX.2 [dev] to edit the user image into our reference design - Originally, both used Google Nano Banana, but switching to open models cut costs and latency a ton 2. Gaussian splatting (2D image → 3D model) - I tried various 2D-to-3D options on fal and ended up with TripoSplat as my preferred balance of speed, cost, latency; this turns an image into a 3D model that looks super high quality (link below) - The app displays the 2D image while our backend generates the 3D splat - We "groom" the splat to reduce size and load time by culling low-opacity/scale points 3. Render efficiently on device Originally, it looked great but ran at 10 FPS. Getting to 120 FPS was a crazy journey. TL;DR: - SwiftUI had to go; it forced us to render each asset in independent MTKViews, which wasn't workable - Instead, we composite every dish into one full-bleed CAMetalLayer using MetalSplatter (link below) - We had to make some optimizations within MetalSplatter's code too, to reduce the overhead of sorting points per render Then I added some finishing touches like the subtle rotation and parallax as they move around. I think it turned out pretty cool :) Overall, this took some effort, but we still got it done in less than a day. Hopefully your agent can follow in the footsteps of mine and do it much faster. Keep an eye out for the bigger writeup, which'll give your agent everything it needs. If you have any questions, drop em below!

Anshu

19,931 Aufrufe • vor 25 Tagen

Everyone loves saying: "Why don't Indian brands make products like this?" But they don't see the real problem. A well-wisher sent me a reel of a product that would be a huge hit in India. I checked the numbers. China factory price: $20 Landed cost in India: ~₹3,000 Retail price needed: ~₹6,000 Too expensive for most Indians. The funny part? If we Indianised it, we could probably sell it for ₹3,000 and still make it work. But there is one big wall. Moulds. Just the tooling would cost around $80,000. Before selling even one unit. That's the real challenge with making products in India. Not ideas or demand. But the cost and risk of building from scratch. So for now, we focus on smaller bets. Products where we can afford to take the risk. Still, it hurts seeing great ideas and not being able to build them all. How can we solve this?

Everyone loves saying: "Why don't Indian brands make products like this?" But they don't see the real problem. A well-wisher sent me a reel of a product that would be a huge hit in India. I checked the numbers. China factory price: $20 Landed cost in India: ~₹3,000 Retail price needed: ~₹6,000 Too expensive for most Indians. The funny part? If we Indianised it, we could probably sell it for ₹3,000 and still make it work. But there is one big wall. Moulds. Just the tooling would cost around $80,000. Before selling even one unit. That's the real challenge with making products in India. Not ideas or demand. But the cost and risk of building from scratch. So for now, we focus on smaller bets. Products where we can afford to take the risk. Still, it hurts seeing great ideas and not being able to build them all. How can we solve this?

Prakash Dadlani

97,613 Aufrufe • vor 1 Monat

xAI isn't playing around. They just released the Grok Imagine API, a unified video + image generation toolkit, and it's already sitting at #1 on the Artificial Analysis Video Arena for both Text-to-Video AND Image-to-Video. It's beating: ● Google's Veo 3.1 & Veo 3 ● OpenAI's Sora 2 ● Runway Gen-4.5 ● Kling 2.5 Turbo The Numbers Don't Lie: ● 64.1% win rate against Runway Aleph in blind human evaluations ● 57% win rate against Kling o1 ● Best-in-class latency. Sub-20 second generation for 720p, 8-second videos. (up to 15-second video) ● Native audio generation baked right into video output (dialogue, music, sound effects, all synced) What Makes It Different It's built for real creative workflows: ✅ Text-to-video AND image-to-video in one API ✅ Video editing with prompt-based controls (add/remove objects, restyle scenes) ✅ Camera controls: zoom, pan, timelapse, pull-back ✅ Style transfers: cyberpunk, watercolor, anime, you name it ✅ Performance animation: map your movements onto characters ✅ Native audio-video sync (no post-production needed) Why the focus on speed and cost? The partner feedback that shaped this: "Quality alone isn't enough if latency and cost make iteration painful." So xAI optimized for all three. Speed. Cost. Quality. Already Integrated With: ● fal. ai ● ComfyUI ● InVideo ● Flora ● HeyGen xAI went from underdog to chart-topper. The Grok Imagine API is fast, affordable, and genuinely production-ready. If you're building anything with AI video, this just became the one to beat.

xAI isn't playing around. They just released the Grok Imagine API, a unified video + image generation toolkit, and it's already sitting at #1 on the Artificial Analysis Video Arena for both Text-to-Video AND Image-to-Video. It's beating: ● Google's Veo 3.1 & Veo 3 ● OpenAI's Sora 2 ● Runway Gen-4.5 ● Kling 2.5 Turbo The Numbers Don't Lie: ● 64.1% win rate against Runway Aleph in blind human evaluations ● 57% win rate against Kling o1 ● Best-in-class latency. Sub-20 second generation for 720p, 8-second videos. (up to 15-second video) ● Native audio generation baked right into video output (dialogue, music, sound effects, all synced) What Makes It Different It's built for real creative workflows: ✅ Text-to-video AND image-to-video in one API ✅ Video editing with prompt-based controls (add/remove objects, restyle scenes) ✅ Camera controls: zoom, pan, timelapse, pull-back ✅ Style transfers: cyberpunk, watercolor, anime, you name it ✅ Performance animation: map your movements onto characters ✅ Native audio-video sync (no post-production needed) Why the focus on speed and cost? The partner feedback that shaped this: "Quality alone isn't enough if latency and cost make iteration painful." So xAI optimized for all three. Speed. Cost. Quality. Already Integrated With: ● fal. ai ● ComfyUI ● InVideo ● Flora ● HeyGen xAI went from underdog to chart-topper. The Grok Imagine API is fast, affordable, and genuinely production-ready. If you're building anything with AI video, this just became the one to beat.

tetsuo

18,325 Aufrufe • vor 5 Monaten

Seedance 2.0 / continuous one-take / hyperreal water physics. It takes lot of time to make VFX rendering for a shot like this. Seedance just generated it in minutes First frame image prompt 🔽 A lone emergency technician in an orange survival jacket stands on the shattered roof of a flooded museum in a drowned European capital, storm clouds overhead, broken statues and floating debris below, cold blue-grey palette, cinematic disaster realism, wet surfaces, strong scale, 35mm film look Created with nano banana pro ImagineArt Video Prompt: 👇 "Disaster film realism, one-take. The camera starts high above a drowned capital city in violent storm weather, then dives toward a lone emergency technician standing on the shattered roof of a flooded museum. He sees a rescue flare in the distance and runs. The camera follows tightly behind him as he sprints across collapsing rooftops, leaps over broken skylights, slides down a tilted glass dome, and grabs a dangling cable. Below, dark floodwater surges through streets filled with drifting cars and statues. He lands on a partially submerged tram roof, keeps moving, and reaches a rescue beacon platform just as a giant wave crashes past behind him. Cold grey-blue apocalyptic palette, hyperreal water physics, wind, spray, handheld urgency, one continuous shot, no cuts."

Seedance 2.0 / continuous one-take / hyperreal water physics. It takes lot of time to make VFX rendering for a shot like this. Seedance just generated it in minutes First frame image prompt 🔽 A lone emergency technician in an orange survival jacket stands on the shattered roof of a flooded museum in a drowned European capital, storm clouds overhead, broken statues and floating debris below, cold blue-grey palette, cinematic disaster realism, wet surfaces, strong scale, 35mm film look Created with nano banana pro ImagineArt Video Prompt: 👇 "Disaster film realism, one-take. The camera starts high above a drowned capital city in violent storm weather, then dives toward a lone emergency technician standing on the shattered roof of a flooded museum. He sees a rescue flare in the distance and runs. The camera follows tightly behind him as he sprints across collapsing rooftops, leaps over broken skylights, slides down a tilted glass dome, and grabs a dangling cable. Below, dark floodwater surges through streets filled with drifting cars and statues. He lands on a partially submerged tram roof, keeps moving, and reaches a rescue beacon platform just as a giant wave crashes past behind him. Cold grey-blue apocalyptic palette, hyperreal water physics, wind, spray, handheld urgency, one continuous shot, no cuts."

Dheepan Ratnam

33,863 Aufrufe • vor 4 Monaten

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,653 Aufrufe • vor 3 Monaten

I used to spend $150/image ad - Now I spend $2.50 Ever wished you could replicate ANY winning ad (yours or a competitor's) in seconds? Now you can. Just upload any static ad, and BOOM! — our AI tool generates 4 high-converting variations in under 60 seconds. And these ads are: - proven to convert - typo-free (even when text-heavy) - secret weapons for buying data FAST And they’re ready to test immediately. No designers. No agencies. No waiting. Just scroll-stopping static ads in minutes that are perfect for: - Scaling winning creatives without creative fatigue - Rapid A/B testing of winning concepts - Replicating competitor ads legally - 100+ ad variations done in 1 hour We just built this AI tool a few months ago. We spent over 6 figs on our AI image ads last month and had our MOST profitable month in one of our beauty brands. Whether you're an ecommerce founder, employee, or performance marketer - these image ads change the game. Why hire a designer for weeks when you can generate winning variations in seconds — for less than a cup of coffee? Comment "IMAGES" and I'll DM you access to try this tool for free 👇 (must be following)

I used to spend $150/image ad - Now I spend $2.50 Ever wished you could replicate ANY winning ad (yours or a competitor's) in seconds? Now you can. Just upload any static ad, and BOOM! — our AI tool generates 4 high-converting variations in under 60 seconds. And these ads are: - proven to convert - typo-free (even when text-heavy) - secret weapons for buying data FAST And they’re ready to test immediately. No designers. No agencies. No waiting. Just scroll-stopping static ads in minutes that are perfect for: - Scaling winning creatives without creative fatigue - Rapid A/B testing of winning concepts - Replicating competitor ads legally - 100+ ad variations done in 1 hour We just built this AI tool a few months ago. We spent over 6 figs on our AI image ads last month and had our MOST profitable month in one of our beauty brands. Whether you're an ecommerce founder, employee, or performance marketer - these image ads change the game. Why hire a designer for weeks when you can generate winning variations in seconds — for less than a cup of coffee? Comment "IMAGES" and I'll DM you access to try this tool for free 👇 (must be following)

Alex Fedotoff

68,914 Aufrufe • vor 1 Jahr

Veo 3.1 + n8n is insane 🤯 Google's new model lets you generate studio-quality UGC videos that look like they cost $1k to produce. Copy my entire automated workflow below 👇 Most e-commerce brands & creative agencies are stuck choosing between: → Expensive creator networks ($500-$2k per video) → In-house production (weeks of coordination) → Stock footage that looks generic This n8n automation cuts through all of that. Here's the complete process: Step 1: Upload one product image to an n8n form Step 2: AI generates multiple UGC prompt variations automatically Step 3: Veo 3.1 renders each prompt into ultra-realistic video Step 4: System creates testimonials, unboxings, demos & lifestyle shots Step 5: All videos delivered to your workspace production-ready Total cost per video: $2-3 Total time: 15 minutes for 20+ videos Full commercial rights: yours forever This is the same workflow I've been using to generate 100+ UGC videos for e-comm brands. 100% automated. Want the complete n8n workflow? > Comment "VEO" > Like this post And I'll send it over (must be following so I can DM)

Veo 3.1 + n8n is insane 🤯 Google's new model lets you generate studio-quality UGC videos that look like they cost $1k to produce. Copy my entire automated workflow below 👇 Most e-commerce brands & creative agencies are stuck choosing between: → Expensive creator networks ($500-$2k per video) → In-house production (weeks of coordination) → Stock footage that looks generic This n8n automation cuts through all of that. Here's the complete process: Step 1: Upload one product image to an n8n form Step 2: AI generates multiple UGC prompt variations automatically Step 3: Veo 3.1 renders each prompt into ultra-realistic video Step 4: System creates testimonials, unboxings, demos & lifestyle shots Step 5: All videos delivered to your workspace production-ready Total cost per video: $2-3 Total time: 15 minutes for 20+ videos Full commercial rights: yours forever This is the same workflow I've been using to generate 100+ UGC videos for e-comm brands. 100% automated. Want the complete n8n workflow? > Comment "VEO" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

83,659 Aufrufe • vor 9 Monaten

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

211,416 Aufrufe • vor 4 Monaten

In Scarface, the Bolivian drug lord Alejandro Sosa was based on a real life Bolivian cocaine baron named Roberto Suárez Gómez - the so called “King of Cocaine” - and he was one of the most powerful crime figures in Latin American history. Like Sosa, Suárez came from one of Bolivia’s most wealthy families. He was well educated and projected an image of a respectable family man - all the while running a cocaine empire that reportedly made over $400 million a year. His family’s wealth began during the rubber boom of the late 19th century. They built a powerful commercial empire through rubber extraction by brutally exploiting the local Indigenous population. After the rubber industry collapsed in the early 1900s, cattle ranching became their main source of income. Roberto inherited a business that had large swaths of land well suited for coca production, as well as a fleet of aircraft perfect for drug trafficking. When the cocaine boom took off in the mid-1970s, he repurposed those assets and quickly became the world's largest producer and supplier of coca paste - the base material used to make cocaine. And much like Sosa, he had deep connections with Bolivia’s military, the CIA, and controlled his own private hit squad he used to take out his rivals. (1/5)

In Scarface, the Bolivian drug lord Alejandro Sosa was based on a real life Bolivian cocaine baron named Roberto Suárez Gómez - the so called “King of Cocaine” - and he was one of the most powerful crime figures in Latin American history. Like Sosa, Suárez came from one of Bolivia’s most wealthy families. He was well educated and projected an image of a respectable family man - all the while running a cocaine empire that reportedly made over $400 million a year. His family’s wealth began during the rubber boom of the late 19th century. They built a powerful commercial empire through rubber extraction by brutally exploiting the local Indigenous population. After the rubber industry collapsed in the early 1900s, cattle ranching became their main source of income. Roberto inherited a business that had large swaths of land well suited for coca production, as well as a fleet of aircraft perfect for drug trafficking. When the cocaine boom took off in the mid-1970s, he repurposed those assets and quickly became the world's largest producer and supplier of coca paste - the base material used to make cocaine. And much like Sosa, he had deep connections with Bolivia’s military, the CIA, and controlled his own private hit squad he used to take out his rivals. (1/5)

Gangster Cinema Central

692,034 Aufrufe • vor 3 Monaten