Input: matched before and after room photos
Output: a six-to-eight-second comparison
Aspect: 16:9
Build log
1. Set the rule
I opened the well-lit room photos and factual property notes, locked real room geometry, window direction, and floor line, and wrote down what could not change.
2. Run one minimum version
I made one small a six-to-eight-second comparison first. The camera angle changed, so I saved the original framing and reused it exactly.
3. Build the focused variant
I reused the same reference and changed only one same-angle before/after pair.
4. Review and export
I checked doorways, window lines, floor plane, and proportions at full size, then exported the final 3:4, 4:3, and 16:9.
Complete execution record
Task boundary and source gate
Treat AI real estate before after video as a deliverable, not a definition. The job receives matched before and after room photos and owes a six-to-eight-second comparison in 16:9. Write the rejection reason first, then turn it into the first hard constraint.
Require the room name, shooting direction, window direction, flooring material, built-in list, and a note on what may be staged. Check vertical lines, blown windows, mirrors, and owner permissions. Do not widen rooms, erase wires, invent views, or promise amenities that are not in the listing. Photographic staging is not permission to redesign the building.
The imgmov route
Name room photos by room and shooting order before upload. In Canvas, keep the walk-through order and use generation to repair perspective, light, or an empty-space decision. Structural facts and room dimensions stay in listing copy, not in the prompt.
Public Airbnb and seller-console pages did not expose a stable article body during research. Do not treat a generated size as platform-approved. Confirm the current listing dashboard limits before export and keep the platform check in the QA note.
Lock the variables that cannot drift
Lock verticals, floor joints, door swings, window direction, ceiling height, fixed fixtures, appliance brands, and furniture that remains after checkout. A generated room may look styled, but it must still fit the floor plan.
Put the locked fields at the top of the prompt, not at the end: The practical move is to lock real room geometry, window direction, and floor line and change only one same-angle before/after pair. Save that prompt with the reference, ratio, and model so the next run starts from a decision instead of a guess.
Step-by-step build path
1) Set the rule: I opened the well-lit room photos and factual property notes, locked real room geometry, window direction, and floor line, and wrote down what could not change. Leave one checkable artifact from this step; do not start the next until it exists. 2) Run one minimum version: I made one small a six-to-eight-second comparison first. The camera angle changed, so I saved the original framing and reused it exactly. Leave one checkable artifact from this step; do not start the next until it exists. 3) Build the focused variant: I reused the same reference and changed only one same-angle before/after pair. Leave one checkable artifact from this step; do not start the next until it exists. 4) Review and export: I checked doorways, window lines, floor plane, and proportions at full size, then exported the final 3:4, 4:3, and 16:9. Leave one checkable artifact from this step; do not start the next until it exists.
Change one named variable per rerun: prompt, reference, camera, duration, model, ratio, or export crop. If two variables change together, a better output cannot be reused because nobody knows which fix worked.
Review gates and evidence
Play the sequence from entry to exit. Check whether a viewer can keep left/right order, identify the room, read appliance state, and still match the photo set to the floor plan.
Keep source, approved wording, rejected version, correction, credit cost, and final crop next to the asset. The record exists so the next reviewer can reproduce the decision without a chat thread.
Failure diagnosis and retry ladder
If a wall moves, use more real stills and shorten the camera path. If light invents sunset, return to the original exposure. If furniture changes, reduce the scope to one staged surface.
Do not upgrade on hope. A 5-second Agnes Video probe is 10 credits. If the concept passes, Seedance 2.5 costs 90 credits at 480p or 195 at 720p for 5 seconds; Kling is 195 without audio or 245 with audio. Veo enters only when a 4/6/8-second cinematic bucket is genuinely worth 80/125/165 credits. Prove hook, subject, and rhythm first, then pay to clean up motion that already worked.
Versioning and handoff
Deliver listing, social, and vertical versions separately. Every cut repeats the same room order and the same owner-approved facts.
The folder is boring on purpose: source, approved reference, generation settings, caption file, platform cuts, QA screenshots, and one correction line. A reusable asset is boring in the right way.
Why this is not a generic answer
The imgmov advantage is the chain: Asset Library preserves the subject reference, Canvas fixes shot order and first/last frames, the workspace routes Agnes to Seedance, Kling, or Veo only after proof, and your external editor adds captions and CTA without regenerating the media.
Do not widen rooms, erase wires, invent views, or promise amenities that are not in the listing. Photographic staging is not permission to redesign the building. If the request only asks what ai real estate before after video means, a search page is faster. This page is useful when someone must deliver a six-to-eight-second comparison under real constraints.
Frequently asked questions
What is the one rule I keep repeating?
The practical move is to lock real room geometry, window direction, and floor line and change only one same-angle before/after pair.
The workflow is specific about its stopping point: it starts with matched before and after room photos and stops at a six-to-eight-second comparison. In imgmov, upload the source, lock it as a reference, set 16:9, run one proof, and save the passing settings. If a reviewer cannot tell which version is approved, the workflow has failed even when the media looks good.
What do I check before export?
Geometry, furniture scale, light direction, and final crop.
Do not upgrade on hope. A 5-second Agnes Video probe is 10 credits. If the concept passes, Seedance 2.5 costs 90 credits at 480p or 195 at 720p for 5 seconds; Kling is 195 without audio or 245 with audio. Veo enters only when a 4/6/8-second cinematic bucket is genuinely worth 80/125/165 credits. Prove hook, subject, and rhythm first, then pay to clean up motion that already worked.
What makes this different from a generic generator?
I start from matched before and after room photos and keep a six-to-eight-second comparison consistent, instead of inventing a new scene each run.
The check is not “does it look AI-nice?” It is: Play the sequence from entry to exit. Check whether a viewer can keep left/right order, identify the room, read appliance state, and still match the photo set to the floor plan. Then the source, approved copy, rejected version, correction, and final crop stay in the same handoff folder.
What should I do if the first render drifts?
Cut the motion, lock the reference, and rerun one small version before batching.
If a wall moves, use more real stills and shorten the camera path. If light invents sunset, return to the original exposure. If furniture changes, reduce the scope to one staged surface. Change one named variable, keep the old version, and record the credit cost. If the same failure repeats, fix the reference or scope rather than asking the prompt for forgiveness.