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Smoking Hot — Concept Campaign for Kilian Paris
A concept fragrance campaign for Kilian Paris' Smoking Hot — a gourmand oriental built on vanilla, tobacco, patchouli, and burning resin. Rather than leading with the bottle, this campaign leads with the notes: macro visuals of bourbon vanilla pods, glowing resinoid, patchouli rising from earth, and dense tobacco — all rendered in a dark amber palette that mirrors the scent's warmth and smoke.
Every image was produced using AI generation (Midjourney / Nano Banana Pro) with prompt engineering crafted to match Kilian's existing luxury aesthetic — moody, tactile, and unapologetically rich. The stills were then edited and animated into a 30-second cinematic reel.
📽 Reel 01: https://www.instagram.com/p/DUHfB1ECkWq/
📽 Reel 02: https://www.instagram.com/p/DUHIO3ECgY1/
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What if your AI workflow is the reason your brand still looks generic?
Q2 forced me to reset how I build everything creatively and honestly… I simplified it way down.
Right now my process is just two tools, but waaay more intention behind them.
I’m using Claude to actually think with me. I feed it strategy, references, and the full brand world, and it translates that into really detailed prompts. When you pair that with Nano Banana 2, you finally start seeing visuals that actually feel like your brand.
I stopped expecting AI to figure it out and started directing it like a creative partner.
That’s also why I moved away from MidJourney. The second you need anything brand-specific like real text, packaging, or logos, it starts to fall apart. It’s great for vibes, not for building real brand systems.
This workflow forces more clarity upfront, and the output is 10x more intentional.
Curious how everyone else is using AI right now… are you directing it, or letting it lead?
*Concept only. Not an official collaboration.
good talk
For the Flora Technique Challenge, I experimented with a single input image that produces two distinct outputs. The first is a character sheet design, featuring multiple angles and key visual traits to clearly define the character. The second is a 4K cinematic storytelling sequence, composed of 9 scenes arranged in a 3×3 grid.
The goal behind this approach was simple: to ensure that the cinematic storytelling remains visually consistent with the character sheet across every scene. Bridging that gap between design and narrative is something I find incredibly valuable as generative workflows continue to evolve.
For the entire image pipeline, I used Nano Banana 2, while prompt expansion was handled with Claude Sonnet 4.6 inside Flora AI.
Curious to hear your thoughts, how do you approach character consistency in AI-generated storytelling?
you can try it here 👉🏻 https://app.flora.ai/techniques/4k-character-sheets-and-cinematic-9-scenes
#FLORATechnique
This is solid, it feels both clean and engaging. If someone wanted to create something at this level, what would you say matters most in your process?
Cinematic AI Ad — Panda Product Showcase
A multi-step workflow that turns any product into a cinematic 8-scene AI ad with a 3D panda character, dramatic dark lighting, and animated sequences — all generated inside FLORA.
Built for content creators and brand marketers who want high-quality AI product ads without a production team.
Input: product name + brief
Output: 8 cinematic keyframes, ready to animate
Very cool! Can you link your technique link in the comments? Instructions are in the guidelines
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