The overlooked texture, I saw it anew through AI.
“We throw away the object long before we truly see its texture. True design doesn’t invent beauty; it rescues it from neglect.”
In everyday life, a recycled paper-pulp coffee cup carrier often has a lifespan of just fifteen minutes before it ends up in the bin.
Yet, when we look closer through the lens of digital storytelling and AI aesthetics, this humble moulded-pulp object reveals a poetic quality: raw, organic, and resilient.
History often remembers the silk, spices, and porcelain of ancient trade, but rarely the rough protective wrappings that helped carry precious goods across vast distances.
Imagine caravans travelling along the ancient Silk Road, crossing the windswept Taklamakan Desert with precious cargo packed for the long journey ahead.
Rather than using pristine, delicate packaging, imagine using layers of coarse plant fibres, sturdy hemp cloth, and weathered felt—materials chosen for their ability to withstand dust, scorching sun, and the friction of thousands of miles of travel.
These protective layers were more than mere coverings. They were the weathered armour of a long journey, marked by use, movement, and time.
Inspired by this idea, I began to see the modern coffee cup carrier differently. If humble materials can carry traces of endurance and tell stories through their textures, why do we see this everyday object as disposable after just fifteen minutes?
1. Seeing Beyond the Everyday
A coffee cup carrier is designed to be functional. It holds cups, provides grip, and helps prevent spills. Its success is usually measured by how well it performs its task—not by how it looks or feels.
But what happens when we stop seeing it as packaging and start seeing it as a material?
Moulded paper pulp has qualities that are easy to overlook: irregular fibres, compressed ridges, uneven edges, tiny dents, and a naturally matte surface. These imperfections are not necessarily flaws. They can become visual features when we pay attention to them.
This is where the idea of Ordinary, Reframed begins. Instead of changing the object into something unrecognisable, I wanted to reveal qualities that were already there.
Image 1 — The Original Material
Full AI image prompt:
Photorealistic macro editorial photograph of an ordinary moulded recycled paper-pulp coffee cup carrier, preserving its recognisable original shape and two cup wells. Extreme close-up of coarse natural paper fibres, compressed pulp ridges, uneven edges, tiny dents, and subtle surface imperfections. Warm sand, unbleached kraft brown, and muted earthy tones. Soft natural window light from the side, revealing tactile surface relief and delicate organic shadows. Minimalist composition, quiet Wabi-Sabi atmosphere, shallow depth of field, authentic material detail, restrained high-end editorial photography, no glossy plastic, no luxury props, no added decorative elements, no text, no logo, landscape 16:9 composition.
2. What I Learned from Le Labo’s Visual Language
Before writing my AI prompts, I looked at the visual language of Le Labo, the fragrance brand known for its restrained, laboratory-inspired packaging and understated presentation [3].
I focused on the broader design principles behind this visual style, including restraint, material presentation, and the use of space.
Material Honesty
The packaging’s restrained presentation provides a useful reference for exploring how materials and labels can coexist without excessive decoration.
For my concept, the coffee cup carrier’s paper fibres would remain visible and become an essential part of the design.
Typographic Restraint
Simple typography and compact labels can make a product feel considered without overwhelming it.
For my concept, a small, understated label could provide structure while leaving the material itself as the main focus.
Light, Shadow, and Negative Space
Minimalist product photography often depends on careful lighting and the space around an object. Directional light can reveal ridges and fibres; soft shadows can add depth; and an uncluttered background gives the viewer time to notice details.
These principles helped me define a visual direction: earthy colours, a matte surface, minimal typography, directional lighting, and generous negative space.
The important distinction is that Le Labo serves as a reference for visual analysis—not a template to copy. The aim is to apply lessons about restraint and material presentation to an everyday object of my own.
Image 2 — Deconstructing the Visual Style
Full AI image prompt:
Create a refined editorial design-analysis board about minimalist apothecary-inspired product photography and packaging, using an original recycled paper-pulp coffee cup carrier as the central design subject. Arrange the board in a clean modular grid with generous white space, muted cream, kraft brown, charcoal grey, and deep olive accents. Include a large photorealistic image of the original moulded-pulp carrier, a close-up material texture study, a small neutral label-design study using original fictional typography, and a lighting study showing soft directional side-light and sculptural shadows. Add thin annotation lines and clearly separated blank caption areas for later editing. Contemporary graphic design, restrained editorial art direction, tactile paper surfaces, material honesty, sophisticated but understated composition, landscape 16:9 layout. Do not reproduce any real brand logo, trademark, existing product label, or copyrighted packaging design. Do not generate legible explanatory text; leave caption areas blank for manual annotation.
3. Teaching AI to See Texture
One of the most useful lessons from this experiment was that a prompt does more than describe an object. It directs attention. Research on text-to-image models in industrial design offers a useful starting point for understanding the relationship between written instructions and visual exploration [1].
A vague instruction such as “make this coffee cup carrier look luxurious” leaves too much open to interpretation. The result might introduce glossy surfaces, dramatic styling, or an altered shape without revealing anything meaningful about the original material.
To explore the difference, I compared three prompt approaches: a generic luxury prompt, a material-focused prompt, and a lighting-focused prompt.
Experiment A: The Generic Luxury Prompt
Prompt:
Luxury product photography of a recycled paper-pulp coffee cup carrier, premium styling, elegant neutral background, dramatic commercial lighting, photorealistic, sophisticated editorial aesthetic, landscape 16:9 composition.
This establishes a commercial mood, but it does not clearly explain what makes the material interesting. The AI may prioritise the overall impression of luxury rather than the details of the paper pulp.
Experiment B: The Material-Focused Prompt
Prompt:
Macro editorial product photography of an original moulded-pulp coffee cup carrier, preserve the original silhouette and two cup wells, visible recycled paper fibres, coarse dry matte texture, compressed ridges and subtle imperfections, warm earthy tones, soft directional side-lighting revealing surface relief, deep sculptural shadows, generous negative space, photorealistic material detail, no glossy plastic, no altered shape, landscape 16:9 composition.
This version gives the AI more specific instructions. It identifies the material, describes the surface, and asks the model to preserve the original form.
Experiment C: The Lighting-Focused Prompt
Keep the material description from Experiment B, but change the lighting instruction:
Prompt:
Macro editorial product photography of the same original moulded-pulp coffee cup carrier, preserve the exact recognisable silhouette and two cup wells, visible recycled paper fibres, coarse dry matte surface, compressed ridges and subtle imperfections, warm earthy tones. Use soft, diffused window light coming from one side, with gentle graduated shadows that reveal the paper fibres and surface relief without harsh highlights or a glossy appearance. Minimalist composition, generous negative space, shallow depth of field, photorealistic material detail, no plastic shine, no altered shape, landscape 16:9 composition.
Comparing Experiments B and C helps isolate the role of lighting. The material description remains consistent, while the lighting changes the way texture is perceived.
Three Practical Lessons
1. Describe what you can actually see.
Words such as fibres, compressed ridges, matte, rough edges, and small imperfections are more useful than relying on broad adjectives like premium or beautiful.
2. Tell AI what must not change.
If the purpose is to explore the original material, specify that the carrier’s silhouette and cup wells should remain intact. Otherwise, the model may redesign the object rather than reinterpret its surface.
3. Use lighting to reveal, not disguise.
Side-lighting can make raised fibres and shallow dents more visible. Soft, diffused light can reveal detail without creating harsh highlights. The right choice depends on whether you want the texture to feel rugged, delicate, or sculptural.
These experiments also have limitations. Text-to-image models may alter small structural details, invent fibres, or produce an unrealistic surface. A convincing image is not proof that the physical object has changed, become stronger, or become more sustainable.
Image 3 — A/B/C Prompt Comparison
Full AI image prompt:
Create a clean three-panel editorial comparison board for a design experiment featuring the same original moulded recycled paper-pulp coffee cup carrier. Use three equal vertical panels within a landscape 16:9 canvas. Show the identical carrier silhouette and two cup wells in each panel, at the same camera angle, scale, and position.
Panel A: generic luxury commercial product photography, elegant neutral background, premium styling, dramatic but conventional studio lighting.
Panel B: material-focused macro photography, clearly visible coarse recycled paper fibres, compressed ridges, dry matte surface, uneven edges, subtle imperfections, warm earthy tones.
Panel C: the same material-focused carrier photographed with soft diffused side-window light, gentle shadows revealing the surface relief, no harsh highlights, natural tactile detail.
Keep the object size, shape, and framing consistent across all three panels so that the visual differences come primarily from prompt strategy and lighting. Minimalist editorial art direction, restrained colours, subtle panel separation, clean blank spaces below each panel for adding labels manually, photorealistic material detail, no logos, no decorative props, no generated explanatory text, landscape 16:9 composition.
4. From Visual Beauty to Material Value
The experiment changed the way I looked at the coffee cup carrier, but it did not change the carrier itself.
AI helped me explore different ways of presenting its texture. It made me more attentive to the fibres, ridges, irregularities, and shadows that I might previously have ignored. The result was a shift in perception rather than a transformation of the material.
That distinction matters when we talk about sustainability.
An attractive AI-generated image cannot demonstrate that a product is recyclable, reusable, durable, or environmentally preferable. Those claims require evidence about material composition, manufacturing, use, and end-of-life treatment.
However, design can influence what people notice and value. The Ellen MacArthur Foundation explains that circular design considers how products and materials are created, used, and kept in circulation, with the aim of reducing waste and preserving value [2].
By presenting an ordinary object with greater attention to its material qualities, we can begin asking different questions: Could its design be improved? Could it be reused in a suitable context? Could less material be used? Could a better system reduce the need for disposable carriers altogether?
AI does not answer all these questions. It can, however, help us visualise possibilities, compare directions, and communicate ideas that might otherwise remain difficult to see.
Image 4 — The Final Concept
5. Ordinary, Reframed
The most valuable part of this project was not making a coffee cup carrier look expensive. It was learning to look at it more carefully.
A familiar object can seem insignificant because we know exactly what it is for. We hold it, use it, and discard it without pausing to notice its material, its construction, or the decisions behind its design.
By combining material observation, visual references, and AI image generation, I began to see the coffee cup carrier as more than a temporary container. Its fibres, uneven edges, and compressed surfaces became a starting point for a new visual story.
Perhaps the real opportunity of AI in design is not simply to create something that looks new. It is to help us notice something familiar in a new way.
And perhaps the question is not whether a coffee cup carrier can last longer than fifteen minutes in our hands, but whether the way we see it can last a little longer.
References
[1] Barros, M., & Ai, Q. (2024). “Designing with words: exploring the integration of text-to-image models in industrial design.” Digital Creativity, 35(4), 378–391. https://doi.org/10.1080/14626268.2024.2411223
[2] Ellen MacArthur Foundation. “Design and the circular economy – deep dive.” https://www.ellenmacarthurfoundation.org/design-and-the-circular-economy-deep-dive
[3] Le Labo. Official website. https://www.lelabofragrances.com/