Freelancers in KampalaFreelancers in Kampala
Web Designer | Flutterflow Developer | IT Support
$25k+
Earned
6x
Hired
4.9
Rating
28
Followers
Web Designer | Flutterflow Developer | IT Support
Projexts — Designing for What Matters
14
Followers
Projexts — Designing for What Matters
Fullstack Engineer | Streaming, Healthcare & GIS
$1k+
Earned
1x
Hired
9
Followers
Fullstack Engineer | Streaming, Healthcare & GIS
Photoshop Specialist | AI Workflows | Graphic Designer
1x
Hired
Photoshop Specialist | AI Workflows | Graphic Designer
Cover image for Still experimenting: Building my digital
Still experimenting: Building my digital fabric library Yesterday, I posted about the system I’m using to prototype "Quiet Luxury" looks. Since then, I’ve been busy in the "AI studio" putting that system to work. I wanted to see if I could get the AI to actually understand the difference between fabrics, not just the colors, but the physics. I spent the last day generating a digital "swatch-book" of 22 different materials, everything from heavy, liquid satin to rough, structured denim. The main challenge: Most AI generators love to make everything look "perfectly smooth." To fix that, I stopped trying to describe the garment and started describing the behavior. I focused on how light should hit a fuzzy chenille weave versus a glossy silk. Here is the prompt template I’ve been using: "High-detail, editorial product macro shot of a stylized, matte-white mannequin with a featureless head. [Insert Fabric Type] fabric. Physics: [Describe drape, weight, and surface]. Lighting: Directional soft-box from front-left to highlight [texture/gloss]. 8k resolution, ultra-realistic, clean, professional." It’s not just about making cool images. By keeping the lighting and the mannequin consistent, I’ve turned this into a real workflow. Now, I can swap fabrics in seconds to see how a design looks in different materials, which is way faster than waiting for physical samples. The coolest part was seeing how the AI handles the "tension points" where the fabric pulls over the mannequin's knee or thigh. Those tiny creases are what make it look like a real garment. If you’re experimenting with AI fashion design, try focusing on the "physics" of your material first. It’s been a total game-changer for my workflow. I’m still adding to my library.
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Cover image for My First Experiment in AI-Driven
My First Experiment in AI-Driven Lookbooks I’ve just completed my first deep dive into using Gemini AI (https://gemini.google.com/) to prototype a "Quiet Luxury" collection. I focused on capturing the unique 'physics' of each fabric under professional studio lighting: the fluid, graceful flow of the merino-silk contrasted with the firm structure of the suede. This was a masterclass in precision. Navigating the AI’s evolving interpretation of depth and scale was the biggest hurdle; framing sometimes shifted from full-body silhouettes to tight texture crops. I chose to view these inconsistencies not as failures, but as essential data, which taught me how to better "direct" the engine through precise prompting. To ensure visual uniformity, I developed this prompt framework: Technical Baseline: 85mm f/1.8 lens, high-end editorial product photography, 8k resolution. Environment: Centered abstract mannequin with a smooth, featureless head on a round floor stand, neutral grey cyclorama. Lighting: Top-left directional soft-box, sculpting light and shadow for depth. Subject Specs: [Insert specific garment]. Fabric Physics: [Insert fabric details, e.g., drape, weight, texture]. [No logos/graphics]. In conclusion: This process proved that while AI is a powerful tool for rapid ideation, it requires the same eye for detail as traditional studio photography. I’m already back in the "studio," refining these silhouettes and pushing deeper into digital fabric simulation. It’s a process - and I’m just getting started.
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63
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Websites that attract customers and drive conversions.