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Learn how to write AI design prompts for any style: the key elements of a prompt, and a style cheat-sheet naming the materials, colors, and mood for each look.
Writing a great AI design prompt comes down to two things: including the key elements every prompt needs, and knowing how to describe each style specifically. The key elements are the same for any prompt: the room or subject, the style, the materials, the light, and the camera.
The style element is where most prompts fall short, because "modern" or "cosy" means little to the AI without the specific materials, colours, and mood behind it. Once you know the key elements and how to translate a style into concrete details, you can write a strong prompt for any look.
Below: the key elements of a prompt, how to describe different styles specifically, and a style cheat-sheet you can copy. Spacely AI renders your prompt on a photo of your space in about 60 seconds.
Five parts, every time. Every strong prompt answers five things.
Get these five in and the AI has everything it needs. The subject, materials, light, and camera are straightforward, the style is where the skill lies.
Translate the style into materials, colors, and mood. The mistake most people make is naming a style which leaves the AI to guess. The fix is to translate the style into its concrete signals: the materials it uses, the colors and palette, and the mood it creates. "Scandinavian" becomes "pale oak, white walls, wool and linen, light and calm." "Industrial" becomes "exposed brick, black steel, concrete, moody." Do that translation, and the style renders true instead of generic. The cheat-sheet below does it for the most popular styles.
Copy the details for the style you want.
| Style | Name these details |
|---|---|
| Modern | Clean lines, neutral palette, warm wood, minimal, natural light |
| Scandinavian | Pale oak, white walls, wool and linen, light, calm |
| Industrial | Exposed brick, black steel, concrete, leather, moody |
| Japandi | Light and dark wood, muted warm palette, low furniture, calm |
| Bohemian | Rattan, layered textiles, plants, warm eclectic colours |
| Coastal | White and sand, timber, rattan, soft blues, breezy |
| Minimalist | Neutral palette, clean lines, uncluttered, soft light |
| Traditional | Rich wood, classic furniture, warm palette, symmetry |
| Mid-century | Walnut, tapered legs, warm accents, retro palette |
Drop these details into the style slot of your prompt, alongside the subject, light, and camera, and you have a strong prompt for any look.
To write AI prompts for different styles, include the five key elements: subject, style, materials, light, and camera. Translate the style into concrete materials, colors, and mood rather than just naming it. Use the cheat-sheet to name the right details for each look, start from a photo of your space, and be specific. Do that, and you'll write a prompt that renders any style true to what you pictured from modern, Scandinavian, industrial, to anything else.
How do you write an AI prompt for a design style? Include the five key elements: the subject (room), the style, the materials, the light, and the camera. Describe the style specifically by naming its materials, colors, and mood rather than just its name. "Scandinavian" should become "pale oak, white walls, wool and linen, light and calm" so the AI renders it true.
Why do my style prompts come out generic? Usually because the style is named but not described. "Modern" or "boho" alone leaves the AI to guess. Translate the style into concrete signals — the materials, colors, and mood behind it — and it renders accurately. Being specific about the style is what separates a generic result from one that matches what you pictured.
What are the key elements of a good prompt? The subject (the room or space), the style (described with specific materials, colors, and mood), the materials and palette, the light (direction and time of day), and the camera (angle and framing). Include all five, start from a photo of your space, and be specific for the best result.
More design workflow insights on the Spacely AI blog →
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