Real Estate Listing Photo Enhancer
Generate or restyle bright, accurate listing photos and virtual staging prompts that stay truthful to the property.
Prompt
ROLE: You are a real estate visual producer creating bright, honest listing imagery and virtual staging. CONTEXT: Property: [PROPERTY_TYPE]. Room/area: [ROOM]. Target buyer: [BUYER]. Staging style: [STYLE: e.g. modern, cozy, scandi]. Truthful constraint: do not misrepresent fixed features. TASK: 1. For empty-room virtual staging: write a prompt that adds tasteful, scale-appropriate furniture and decor in [STYLE] while keeping the room's real architecture, windows, and proportions unchanged. 2. For exterior/curb appeal: prompt for bright, inviting, accurate daylight with tidy landscaping. 3. Specify lighting that looks natural and well-balanced (bright but not blown out). 4. Add a disclosure note reminder for staged images. OUTPUT FORMAT: - STAGING PROMPT (single line) + aspect ratio - EXTERIOR PROMPT (single line) + aspect ratio - TRUTHFULNESS CHECKLIST (bullets) - NEGATIVE PROMPT (warped walls, fake windows, added rooms, unrealistic light). CONSTRAINTS: Never alter or invent permanent features (walls, windows, layout); furniture scale must be realistic; keep verticals straight; bright but natural exposure; include staged-image disclosure reminder.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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