AI Real Estate Video Generator

Listing video is the highest-leverage content in residential sales: same photos, dramatically more engagement. The job is not to make the property look fantastic — it is to make the space readable: how rooms connect, how light moves, how big it actually feels. This guide covers the room-by-room workflow on VidVid, the camera moves that sell space, and the compliance line that matters more than the visuals.

Start here: what must never be generated

Property video sits close to regulated advertising, and the failure mode is not ugly footage — it is a misrepresentation claim.

• Never let a model invent: floor area, room dimensions, price, address, school catchment, tenure, service charges, energy rating, parking, or whether a feature exists.
• Never generate: furniture that implies a room is larger than it is, views that do not exist from that window, or a renovation that has not happened.
• Always: add facts as text overlays from the listing record, verified by the agent. Keep the source photos unretouched where the condition of the property is material.

A useful rule: the model supplies motion and light. Everything a buyer could rely on comes from your data.

The room-by-room workflow

1. Shoot or collect in sequence. Front elevation, entrance, then rooms in visiting order. Continuity matters more than individual shot quality.
2. Choose the move per room. Small rooms: slow push-in. Large rooms: slow lateral traverse. Kitchens and living spaces: a gentle reveal. Never a fast orbit — it distorts walls and windows.
3. Keep motion small. Real estate sells on stability. Motion amplitude should be low; a drifting camera reads as calm, a swinging camera reads as distortion.
4. Generate per room, 3–5 seconds. One room, one beat. Cut them in order and let the sequence do the storytelling.
5. Add the fact layer in post. Price, beds, area, EPC, address — overlays from verified data, never generated.
6. Cut a vertical version. Portal and social placements are vertical. Reframe the best three shots rather than regenerating.

Model picks for property footage

Model	Why it suits property	Example cost	Use it for
Wan 3.0	Cinematic motion, narrative scenes	28 credits (2s · 480p)	Cheapest way to validate a room move before committing
Framepack	Longer image animation	14 credits (2s · 720p)	Holding a single listing photo steady with gentle motion
Luma Ray 3.2	Fluid motion and atmospheric scenes	100 credits (5s · 540p)	Exteriors, gardens, drone-feel establishing shots
FLUX 3 Video	Image-led video continuity	170 credits (5s · 720p)	Keeping one reference image coherent across a longer shot
Seedance 2.5	4–30s, multi-aspect, extendable	144 credits (4s · 480p)	Longer single-room takes and vertical reframes
MiniMax H3	High-impact cinematic short video	24 credits (3s · 480p)	Cheapest model here to prove a shot before you scale it

Credit figures read from the VidVid pricing page on 2026-09-21 as published example configurations. Exact cost appears on the Generate button for your settings and changes as models update. See current pricing

Prompts for listing video

PROMPT — Living room reveal
Slow forward push-in through the living room of the reference photo, natural window light unchanged, walls and window frames stay straight, no furniture appears or disappears, 4 seconds, 16:9, steady camera, no distortion.

PROMPT — Kitchen traverse
Very slow lateral drift across the kitchen, morning light from the window, surfaces and cabinet lines stay parallel, no objects added, 4 seconds, 16:9, locked-off height.

PROMPT — Exterior establishing
Slow drone-style rise above the front elevation, soft late-afternoon light, trees move slightly in the wind, building geometry unchanged, 5 seconds, 16:9.

PROMPT — Vertical portal cut
Same room as the hero shot reframed vertical, centred on the window, slow push-in, 4 seconds, 9:16.

Test cards before you shoot a whole portfolio

Card A — Geometry integrity. Input: one living-room photo. Model: MiniMax H3. Settings: 5s, 768P. Checkpoint: do walls and window frames stay straight in every frame? Output: the full H3 run for this card — file, prompt and settings — is published below.

Card B — Exterior motion. Input: front elevation photo. Model: MiniMax H3. Settings: 5s, 768P, 9:16. Checkpoint: does the building hold its shape during the rise? Output: the full H3 run for this card — file, prompt and settings — is published below.

Card C — Long-take continuity. Input: one hero room photo. Model: MiniMax H3. Settings: 4s, 768P, 1:1. Checkpoint: does anything appear or vanish mid-shot? Output: the full H3 run for this card — file, prompt and settings — is published below.

The three MiniMax H3 runs behind these cards

Same three cards, run once each on MiniMax H3 through the official API at 768P. Files, prompts and settings are published below so you can repeat them exactly. These are bench runs on a reference image and generic prompts, not on your catalogue — read them as evidence of turnaround and frame stability, not as a verdict on your own asset.

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Prompt we sent (as run): A slow macro push-in on a matte ceramic object, realistic reflections, black studio background, premium commercial lighting, the object keeps its exact shape, no deformation, 5 seconds.

Open this clip in a new window →

Prompt we sent (as run): Vertical 9:16 product hook, energetic but controlled camera move, subject fully visible in the first second, bright accent colour, shallow depth of field, object shape stays fixed.

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Prompt we sent (as run): Extreme macro of a brushed metal surface, slow lateral camera move, reflected light crawling across the material, no distortion, commercial product photography look.

Run	Mode	Settings	Output file	Submit → ready
A	image → video	5s · 768P	1344×768, 24 fps, 5.2 s, 726 KB	196 s
B	text → video	5s · 768P · 9:16	768×1344, 24 fps, 5.2 s, 1.0 MB	117 s
C	text → video	4s · 768P · 1:1	768×768, 24 fps, 4.5 s, 341 KB	83 s

Scope: three single runs on one model. We did not measure the credit deduction inside VidVid, we did not time any other model, and we did not score output quality — that stays a human call. VidVid’s published H3 example rate is 24 credits (3s · 480p); the live figure is on the Generate button.

Now run the same three cards on another model

A measured card only means something when the model is the single variable. Keep the input, prompt, duration and resolution identical and the next generation shows you what that model does differently. Models from the table above, with their published example costs:

• Wan 3.0 — 28 credits (2s · 480p) — Cheapest way to validate a room move before committing
• Framepack — 14 credits (2s · 720p) — Holding a single listing photo steady with gentle motion
• Luma Ray 3.2 — 100 credits (5s · 540p) — Exteriors, gardens, drone-feel establishing shots
• FLUX 3 Video — 170 credits (5s · 720p) — Keeping one reference image coherent across a longer shot

Open the studio, load the same reference image, paste the same prompt and switch the model. One generation is enough to see the difference on your own asset. Run the comparison in the VidVid studio

Credit figures are VidVid’s published example configurations, read on 2026-09-21, and are only comparable at matched settings. None of these models was timed by us.

Swapping the model changes the bill and the result — not the workflow. The same shot on the other models in this guide: Seedance 2.5 — 144 credits (4s · 480p), Luma Ray 3.2 — 100 credits (5s · 540p), FLUX 3 Video — 170 credits (5s · 720p), Framepack — 14 credits (2s · 720p). What actually differs: Framepack is the cheapest way to put gentle motion on a still listing photo; FLUX 3 Video holds continuity across image-led shots; Luma Ray 3.2 gives the slow atmospheric drift that sells a room; Seedance 2.5 is the pick when the walkthrough needs to run longer or change aspect ratio.

The failure that matters most here

Symptom: the room looks beautiful and wrong. Walls bow, windows stretch, a doorway appears where there was none, or the ceiling height changes between frames.

Cause: real estate photography is full of straight lines and repeating geometry — exactly what video models distort under large camera moves.

Fix:

1. Reduce motion amplitude. Push-in and slow traverse, never orbit.
2. Shorten to 2–4 seconds; distortion accumulates over time.
3. Use image-to-video with the real listing photo rather than describing the room in words.
4. Add straight-line constraints: walls stay straight, window frames stay parallel, no objects added or removed.
5. If a room still fails, use a still with a subtle Ken Burns move in your editor. Not every room needs generation.

Budgeting per listing

A typical 30–45 second listing tour is 8–10 room shots.

• Validate: 480p, 2–4 seconds per room, one take each.
• Publish: re-render only the rooms you keep at 720p.
• Reuse: the vertical cut reuses the same generations, reframed. See the vertical video guide.

At that shape, one Creator plan month covers a meaningful number of listings — but price per listing before you promise volume to a client.

Mistakes that cost you the instruction

• Generating facts. Area, price and tenure must come from the listing record.
• Large camera moves in small rooms.
• Adding furniture or views that are not there.
• Publishing without an agent review pass.
• forgetting the vertical cut, which is where most portal traffic actually is.

FAQ

Can I turn listing photos into a video tour?

Yes. Image-to-video is the right approach: it keeps the real room geometry while adding camera motion and light.

Which camera moves work best?

Slow push-in and slow lateral traverse. Avoid orbit and fast pans — they distort walls and windows.

How do I keep rooms from warping?

Short clips, small motion, image-to-video with the real photo, and explicit straight-line constraints in the prompt.

Can the model add furniture or staging?

It can, and you should not use that output in a listing. Generated staging misrepresents the property. Stage physically, or leave it empty.

What about before-and-after renovation videos?

A legitimate and high-performing format when the photos are real. See the before and after video guide.

Can I see real MiniMax H3 output before I spend anything?

Yes. Three complete H3 runs are published on this page with their prompts, settings and the MP4 files themselves — 768P, 4–5 seconds, 83–196 seconds from submit to file ready. The other models are listed with their published example cost, so you can run the same prompt and compare on your own footage.

Where to go next

• Open the VidVid studio and run Card A on one listing photo.
• Cut the vertical version with the vertical video guide.
• Renovation listings: read the before and after guide.
• Sharper prompts first: the AI video prompt guide.