Can I generate multiple lighting scenarios for the same space?

Answer

Short answer:

Yes. You can use a single base image, such as a sketch, a 3D screenshot, or a clay render, and generate unlimited lighting variations simply by changing your text prompt.

How it works

The process relies on keeping your input geometry constant while asking the AI to interpret the atmosphere differently.

1. Upload your base: Start with a sketch, a basic 3D view, or a photo.

2. Define the structure: The platform uses your uploaded image as the structural reference. This ensures walls, furniture, and windows stay in the same place across all versions.

3. Prompt for lighting: In the text prompt area, describe the lighting condition you want.

• Example 1: "Modern living room, sunny morning, hard shadows, bright natural light."

• Example 2: "Modern living room, cozy evening, warm artificial lighting, blue hour outside window."

1. Generate: The AI applies the requested lighting and mood to your original geometry.

Alternatively you can also pick a final render from your base model and use the Render Variation or Chat tool to create variations of the same render without relaying to the base image.

What you can generate

You are not limited to standard "day" and "night" toggles. You can describe specific atmospheric conditions to match your project narrative.

• Time of day: Sunrise, high noon, golden hour, blue hour, or deep night.

• Weather conditions: Overcast soft light, rainy mood, foggy atmosphere, or bright clear skies.

• Interior lighting: All lights off (natural light only), ambient rendering, focused task lighting, or architectural LED strips.

• Seasonal changes: Winter light (cool, bluish tones) versus summer light (warm, intense highs).

When to use this

• Client presentations: Show a client how their space feels during a dinner party versus a morning coffee routine without building two separate 3D scenes.

• Real estate marketing: Create a "dusk" render to increase emotional appeal for listing images.

• Lighting studies: Quickly test if a space feels too dark or too cold before committing to a final lighting plan.

Limitations or notes

• Shadow accuracy: The AI generates shadows based on visual logic, not physics simulation. While highly realistic, shadows may not match a precise solar study for a specific longitude and latitude.

• Reflection consistency: If you dramatically change the lighting (e.g., from day to night), reflections in glass or mirrors will change to match the new environment.

• Detail variations: While the main structure remains identical, small details like fabric textures or background foliage might shift slightly between different generations.