Creating Real Estate Videos with VuGru: A Prompting Guide
- Matt Rafferty
- Apr 30
- 3 min read
In the competitive world of real estate marketing, video is everything. It allows potential buyers to experience a property more immersively than still photos ever could. Now, with VuGru’s video generation that utilizes state-of-the-art video creation models, you can use the photos you already have and turn them into cinematic short video clips — fast.
Whether you’re a realtor looking to enhance your listings or a photographer producing high-end media packages for properties, this guide will help you craft clear, effective prompts that work seamlessly with VuGru’s powerful video generation models.
But first — if you’re not sure what to type, don’t worry. VuGru has a built-in default motion.
The Most Reliable Option: Just Leave It Blank
If you don’t enter any prompt at all, VuGru will automatically generate a forward “push-in” shot — simulating a smooth, steady camera walking forward through the scene.
This default motion is also the most consistent and reliable because it doesn’t require the AI to guess or invent new surroundings beyond the original photo. Since the camera is simply moving into the existing image, the clip tends to be more natural and artifact-free.
Other types of camera movements are possible with prompts (and we’ll walk through some of those below), but we always recommend starting with the default forward motion if you’re new to VuGru or working with more complex images.
Why Prompt Engineering Matters in AI Real Estate Videos
Unlike traditional video editing or recording, the models that VuGru connects to rely on your text prompt and input image to generate the motion and feel of the clip. Your prompt isn’t just descriptive—it’s directive. If you want a high-quality video that accurately reflects the home and doesn’t “hallucinate” extra rooms or fantasy staircases, your prompt needs to be clean and focused.
Key Prompting Principles for Real Estate
1. Simplicity is Power
Start simple. Complex, wordy prompts may confuse the model or create unnatural results. For example:
✅ “Act as a videographer and slowly walk forward as if the camera were on a stabilizer.”
This avoids hallucinations and creates smooth, grounded motion.
2. Use High-Quality Input Images
The photo you upload is the foundation of your video. Avoid lens distortions, clutter, or awkward angles. Clean, well-lit, high-resolution shots will yield the most realistic outputs.
3. Focus on Motion, Not the Image
Describe the camera’s movement, not the content of the photo. The model already sees the image — your job is to guide how it moves through the space.
❌ “A modern kitchen with white countertops…”
✅ “Camera slowly glides right while maintaining focus on the island.”
4. Stick to Slow, Steady Movements
For real estate, slow motion allows viewers to absorb layout and features. Use phrases like:
“gently dolly backward”
“camera rises slightly while moving forward”
5. Avoid Orbits and Complex Pans
Prompts like “orbit around the room” or “swing through the entryway” often fail because the AI has to invent what’s beyond the frame — leading to distortions or visual glitches.
Keep lateral or curved movement subtle if you use it, or start with the default push-in for the best results.
Prompt Templates for Real Estate
Interior Forward Shot (most consistent):
“Act as a videographer and slowly walk forward as if the camera were on a stabilizer.”
Left/Right Slider Shots:
“Camera slowly glides right while maintaining focus on the focal point.”
Note: Side-to-side shots are more error-prone — keep movements small for better results.
Dolly Backwards:
“Camera slowly zooms out while maintaining focus on the focal point.”
This can introduce some AI-generated details, so proceed with caution.
Final Tips
Never use negative phrasing (e.g. “don’t show the neighbor’s yard”)
Avoid overly descriptive aesthetics (e.g. “make it look cinematic with a shallow depth of field”)
Use clear, non-conversational language
If in doubt, leave the prompt blank — forward motion is often the best result
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