The rendered "after" image is the single most important sales asset in permanent lighting. When a homeowner sees their actual house lit up — not a generic stock photo, not a competitor's install — the buying reflex fires. Generic before/after pictures don't trigger that response; recognition does. This guide walks through how to render a house with permanent lighting installed, from cold address to marketing-ready asset.
The two-step rendering workflow
Every modern house render follows the same two-step pattern:
- Pull a "before" image of the house from Google Street View at the best available angle (front-facing, unobstructed by trees, daytime if possible).
- Pass that image to an AI model with a prompt describing permanent lighting installed under the roofline. The model returns a photo-realistic "after" image of the same house with the lighting added.
The whole process — done manually — would take a designer 15–30 minutes per house. Done in Light Launch, it takes about 30 seconds per house and runs end-to-end without manual intervention.
Step 1: Pull the best Street View angle
Most addresses have 5–15 Street View images at different points along the road and from different camera angles. Picking the best one matters — a tree-obscured shot or a side-view ruins the render. Light Launch's scout-best-view pipeline handles this automatically:
- It pulls every available Street View pano for the address.
- It prescreens each one for image quality (resolution, lighting, occlusion).
- It uses AI scoring (via Gemini) to rank candidates on how clearly the front of the rooftop is visible.
- It returns the single best angle at full resolution (2K+), ready for rendering.
If you're doing this manually with a general AI tool, you'll need to click through Street View, save the best frame, and feed it to the AI yourself. That's fine for one house. It doesn't scale to mailing a neighborhood.
Step 2: Generate the "after" render
Once the best Street View frame is selected, the AI model (Light Launch uses a tuned Google Gemini image-generation pipeline) takes the image plus a prompt describing permanent lighting installed under the roofline. The output is a photo-realistic image of the same house with:
- Permanent lighting installed along the fascia or soffit.
- Realistic lighting glow at dusk lighting conditions (the sale-triggering visual).
- The original house structure preserved — same shape, same color, same details.
The render is high-resolution enough (2K+ in current pipelines) to print on a 6×9 postcard at 300 DPI without quality loss.
Step 3: Use the render as a marketing asset
The rendered photo has more leverage than most installers realize. Inside Light Launch, every render automatically flows into:
- 6×9 postcards mailed to the homeowner via USPS at $1 each (see postcard marketing).
- A per-homeowner customer portal where the homeowner sees their rendered house, custom pricing, and a Stripe deposit button.
- The CRM lead card for sales-rep reference.
- The post-install neighbor follow-up postcards mailed to the rest of the block (see neighbor follow-up).
Outside Light Launch, installers also export renders for social-media posts, YouTube thumbnails, sales presentations, and pre-install proposals. The rendered image is the single sales asset that closes deals.
The end-to-end flow in Light Launch
- Type a street name into the Render Agent.
- Light Launch pulls every house on the street from the address list, finds each one's best Street View angle, and renders all of them with permanent lighting installed.
- Each render auto-enriches with the homeowner's name, phone, email, and an auto-calculated linear-foot price.
- You select which renders to mail. 200 postcards at $1 each = $200 total spend.
- The postcards print, address, and ship via USPS automatically.
- Homeowners scan, see their custom portal, pay deposits — your dashboard fills with paid leads.
Total time from address to mailable postcard: about 8 minutes for a typical street. The average installer returns $32 in install revenue for every $1 spent on this workflow.
Can I do this without Light Launch?
You can render individual houses using general AI tools (ChatGPT's image generator, Midjourney, Gemini's web UI) by manually feeding them a Street View frame and prompting for permanent lighting. The output quality is workable. The problem is everything else in the pipeline:
- Manual Street View frame selection per-house.
- Manual prompting per-house (and prompt tuning to keep the house structure intact).
- Manual address-list pulling for the target neighborhood.
- Manual postcard layout, printing, addressing, and USPS handoff.
- Manual customer-portal building if you want homeowners to see their render online.
- Manual lead enrichment (owner name + contact info) per-house.
The render itself is 5% of the work. The rest is why purpose-built tools exist.
Render every house on a street in 8 minutes.
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