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Most AI outputs look impressive.
But they still don’t feel like a real ad.
That gap is exactly what I set out to close with AUREL🚀
—
I didn’t approach this like prompting.
I approached it like building a creative pipeline.
Everything starts with structure.
I used the Compositor Node as the core—treating every visual like a layered campaign build:
• model as the primary subject
• product placed with intent
• controlled lighting and shadow passes
• grain and texture for depth
Nothing is random.
Every layer is composed to feel like it went through an actual art direction process.
That’s where the “ad feel” comes from.
—
Then I pushed the product beyond flat placement.
Inside the Creative Code Node, I brought in Three.js to generate a 3D version of the product.
This changed everything.
Now the product:
• has real depth
• reacts to light correctly
• sits naturally inside the frame
It’s not pasted in—it’s constructed into the scene.
—
From there, I designed the system to branch into four distinct campaign directions:
- Luxury Editorial — minimal, high-contrast, fashion-first
- Streetwear — gritty, neon-lit, high energy
- Futuristic — cinematic, immersive, sci-fi driven
- Surreal — abstract, dreamlike, expressive
Each theme has its own composition logic, not just a visual style.
Workflow: https://app.fuser.studio/view/fb2d0257-c565-493f-a2a8-099d2b9dd598
looks premium ngl
so glad
Good 👍
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Project Title: Interactive Thermal Vision for Fashion E-commerce (Built with Fuser)
The Concept
A next-gen feature for online stores. Instead of just saying "this jacket is warm," we let customers prove it to themselves with an interactive lens.
The Problem
You can't feel the quality or warmth of a garment through a screen. Static photos show the style, but they don't communicate the tech behind the fabric.
The Solution
I built a workflow that turns a standard fashion shot into an interactive experience. I engineered a "thermal lens" that follows the mouse: as you scan the puffer jacket, it reveals a heat map showing heat retention, while the snowy background stays "cold."
How it Works
Generation: AI creates a high-end base image—a model in a massive pink puffer standing in a snowy mountain landscape.
Code (GLSL): Using Fuser’s code node, I wrote a shader that dynamically re-maps colors inside the lens to mimic a thermal scan, keeping the rest of the photo unaltered.
Value for Brands
It’s a plug-and-play tool for websites. It boosts engagement, keeps users on the page longer, and builds trust in the product's technical specs.
Nice work
Hey everyone! Turn a single reference image and a mood description into a complete set of production-ready visual asset, in one run.
What you bring:
A Key Visual reference image that captures the look, palette, or world of your project and a short text describing the film's mood or atmosphere (e.g. "drama, overcast, sci-fi")
What the technique does:
The technique reads both inputs together and builds a cohesive 6-frame storyboard that translates your mood into a visual narrative arc. Each frame is crafted to feel tonally consistent with the reference while expressing a distinct narrative beat. Once the storyboard is complete, every keyframe is exported individually as a standalone image.
What you get is 7 assets total: 1 full storyboard + 6 individually exported keyframes.
Best for: directors, cinematographers, animators, and visual development artists who want to go from concept to a shootable (or pitchable) frame sequence fast, without losing tonal coherence across shots.
Thanks for reading! :)
Nice!
It was 2am, couldn’t sleep, overthinking as usual… and then this idea just hit me 👀
What if you could take any blurry or old photo and turn it into a clean, detailed 4K image?
So I built it.
Been testing it out and honestly… it’s kind of crazy seeing old or low-quality images come back to life like that.
Try it now !! - 4K photo upscaler
Built totally using @Morphic.
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