Seedance 2 is out globally on Freepik! 🎸
And now you got to learn how to prompt for it.
So I went ahead and made a Spaces workflow for you - link below.
And here's a prompt for you to kick off:
[STYLE]
Ultra-high detail Pixar-quality cinematic animation, 8K, soft global illumination, individual hair and fur strands, realistic fabric simulation, shallow depth of field, warm cozy lighting
[FORMAT]
16:9, cinematic multi-shot scene, slow tension build
[SCENE]
Cozy bedroom at night with strong 80s personality, colorful retro posters on walls, desk with glowing computer, warm lamp.
[CHARACTERS]
A young man with short dense curly blonde hair forming soft rounded clumps, pale skin, slightly tired blue eyes, wearing a black hoodie
A golden retriever with thick light golden fur and expressive eyes.
[CAMERA SYSTEM]
Smooth cinematic camera, slow push-ins, medium and close shots, no jitter.
A scene showing the guy coding. The dog wakes up from some noise. the guy asks what's up. the dog walk to across the room to a closed closet door. noise coming from inside. the guy walks up and gets ready to open the door and calms the dog.
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1. Python
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2. SQL
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3. Excel
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8. Data Visualization
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9. Machine Learning
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10. Deep Learning
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11. AI
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12. LLM
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13. Generative AI
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I built an AI system that automates product video creation for entire e-commerce catalogs.
(Saves ~$30K per collection shoot and boosts on-site conversion rates by ~20%)
Here’s how the automation actually works:
→ Firecrawl scrapes product images directly from any e-commerce collection page
→ Google’s Veo 3.1 generates realistic model videos showing fit, movement, and drape
→ Each video begins and ends on the original product image for perfect looping
→ Videos are auto-named, organized, and stored in Google Drive
→ Everything runs in batch—no manual work while it processes
The result: fashion brands can showcase every SKU with video, not just hero products—and engagement jumps immediately.
Static product photos aren’t enough anymore.
Shoppers want to see how clothes move before they buy.
If you want the full blueprint, do this:
1️⃣ Like & RT this post
2️⃣ Follow me (so I can DM you)
3️⃣ Comment “FIT”
I’ll send you the full n8n workflow, all prompts, and a step-by-step setup video—for free.
No more $30K shoots.
No more guessing if your product pages convert.
Gemini Nano Banana Pro.
Prompt: A dreamlike, movie-quality augmented reality visual where numerous hovering Spotify player interface cards orbit the central figure (the person shown) in a complete 3D spatial composition, with each music player card strategically placed at varying distances, some prominently positioned in front and partially covering the subject, while others float behind and alongside them, utilizing the authentic Apple Music UI/Spotify UI elements playback progress indicators and featuring songs by [Artist Name]; all cards display smooth rounded edges with subtle angular perspective shifts, presenting a translucent, frosted-glass aesthetic that radiates a gentle diffused border luminescence with measured cinematic light bloom interacting organically with the ambient lighting of the scene; the composition showcases a cool-to-neutral color palette with rich yet preserved shadow detail, strategic bursts of color from album artwork, medium-high contrast levels with gradual highlight transitions, delicate focal depth variation where nearer cards maintain crisp detail while farther ones receive gentle blur treatment, and understated motion-enhancing accents, all while keeping the subject photorealistic, centrally positioned, and authentically integrated into their physical surroundings.
i made a game where you dodge, duck, dip, dive and dodge your way to help Santa deliver presents
created with mediapipe computer vision, threejs, and @Kimi_Moonshot (an all open source stack !!)
merry christmas and may your unhinged dreams come true ❆ ͙˚⋆
i've gotten DMs about this idea from people at pro sports teams, NCAA, european football clubs, youth coaches, VCs
there's demand from customers and investors
who's building this?
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.
Introducing Anything Max: Vibe Coding that's leaps above Lovable and Bolt
We've raised money at a $100M valuation and built what we believe is the future of vibe coding.
We asked 100 vibe coders to build their apps side by side on Lovable, Bolt, and Anything Max and they rated Anything Max the winner across all 3 categories - accuracy, design, and 'overall'.
Here's why:
• Full-stack control: Max can test backend hooks, branch database states, and debug issues, because Anything owns the full infrastructure.
• Max can load up your app in its own browser and click on all buttons like a human tester to find all edge case bugs, then trace the bug across the stack - could be a frontend, backend, or a database issue (only we can do this, read #1) and autonomously fix it with 97% accuracy.
Lovable and Bolt build prototypes, but Max users are building production-ready apps and already charging money for them.
Blake built a gut biome app to $10K run rate
Anthony built a referral tool to $20k in revenue
Yuri built a suite of apps doing $40K
Build your app with Max: https://t.co/haQw8s04mB
--------------------------------------------
We're hosting a $100K Hackathon to help people grow their app to $10K MRR.
- We'll teach you everything we know about growing to 1M users.
- You'll have 30 days to build a real product in public and get paying customers for it.
If you do it well, you can start the New Year with a functioning business.
Retweet and comment “LFG”, and we’ll send you a $100 discount code and the link to participate
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