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Kickstart the creative process with AI moodboards

Post Hero Image

Kickstart the creative process with AI moodboards

AI can be a powerful tool for generating fresh ideas and visuals, making it easier to create moodboards that inspire and inform creative projects. Moodboards are useful across a wide range of fields, from fashion and product design to interior design, architecture, gaming, advertising, and beyond.

By creating moodboards, creatives can explore how different elements—like shapes, colors, textures, and themes—can come together to shape new concepts. For example, a moodboard focused on a specific color palette or tone can serve as a springboard for developing a unique garment, capturing the right mood and aesthetic.

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Check out some of our other posts on fashion:

From Concept to Catwalk: How AI Brings Designer Dreams to Life
AI isn’t just about creating imaginative concepts; it’s about bringing real, tangible designs to life. In the examples below, we see how a clear artistic vision can be shaped with AI, then crafted in fabric and construction to become a unique piece of clothing. Each piece not only captures the contours and intricate details but also reflects the textures, colors, and subtle design nuances intended by the designer. These AI-assisted designs aren’t just theoretical—they’re practical inspirations,
AI as a Partner, Not a Replacement: How Real Designers Bring Fashion to Life
Some people think AI is just a one-click solution, destined to replace the human artist—but that couldn’t be further from the truth. At TD-Studio, we collaborated with six talented fashion designers to bring their visions to life, and it was far from a simple, one-click process. It took close teamwork with each artist, working through multiple steps and rounds of refinement. The level of detail and thought that went into each collection wouldn’t have been possible without classically trained de
From a Single Sketch to Infinite Styles
In a recent faculty workshop at FIT NYC, one of the professors asked us if AI-rendered sketches might end up looking similar. In other words, would student work start blending together? The answer? Absolutely not! Starting from a single example sketch, we showed a wide range of unique outputs, each generated by using different open-source models and settings. And those examples? Just the beginning. With nearly endless customization options—from prompts and models to control weights, detection,
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