How to turn mnml.ai, LookX or PromeAI renders into a video without the building changing
Turn mnml.ai, LookX or PromeAI renders into a video: each app's own clip tools, how to get six outputs of one design, fidelity checks, then a 30-second film.
In this article
AI rendering apps such as mnml.ai, LookX and PromeAI turn a sketch, a massing model or a screenshot into a convincing still in seconds. Making those stills move is the next request from clients and from your own Instagram feed. Some of these apps now have a short clip feature of their own, but a 30-second project video needs six images that show the same building, and AI renderers are very good at quietly changing the building between generations. This guide covers what each app offers as of October 2026, how to get six consistent outputs, the fidelity checks to run before animating, and how to turn the six into a film.
Key takeaways
- mnml.ai lists a Video Animate tool that turns a still into a short clip, and LookX lists video generation from an image or text; PromeAI's own site could not be reached to verify its video feature as of October 2026.
- Every AI render is a fresh interpretation, so start all six images from views of the same 3D model or sketch set rather than from text prompts alone.
- Keep the style settings, prompt wording and creativity or geometry-override level identical for all six, and fix problems with region edits instead of regenerating the whole image.
- Check each render against the model before animating: count the windows, follow the roofline, match the materials; a video model extends errors, it doesn't correct them.
- A video made from AI renders shows a concept, so caption it as one and keep the original model views with the project files.
Can you turn mnml.ai, LookX or PromeAI renders into a video?
Yes, in two ways. mnml.ai and LookX each offer their own feature for animating a still into a short clip, which suits a single hero shot. For a 30-second project video, generate six renders of the same design from consistent model views, check them against the model, then export the full-size files to an image-to-video tool that builds a film from all six.
The second route is where most of the effort goes, and almost all of it happens before any video is made.
What each app offers, from its own site (as of October 2026)
mnml.ai lists a family of tools: Exterior AI, Interior AI, Sketch to Image, Landscape AI, Masterplan AI, Floor Plan AI, Render Enhancer, Style Transfer, Imagine, Concept Generator and Video Animate (mnml.ai). It accepts "sketches, photos, and SketchUp, Revit or Rhino views" and offers "region-level edits, erase, extend and 8K upscale." Video Animate is described as a way to "turn any still in the project into a short clip," with shots named the way an architect would brief them: walkthrough, drone view, pull back, hero shot. On commercial use, mnml.ai states: "All generated designs can be used commercially with any Pro plan subscription."
LookX lists RealTime ("Transform text and sketches into rendering images instantly"), Video Generation ("Generate video based on image or text"), Train Custom Models ("by uploading a series of images with similar styles"), a Style Adapter that works from "a reference image," Upscale Image, 1-Click Duplication ("Instantly generate images with the same effect") and plugins for SketchUp and Rhino (LookX).
PromeAI blocked automated access to its site when this guide was written, so its current features, including any image-to-video tool, could not be verified as of October 2026. Check its own feature pages before relying on a specific tool.
Veras, from EvolveLAB, is worth including because many studios use it the same way, inside their modeling software. Its page lists SketchUp, Revit, Rhino, Archicad, Vectorworks and Autodesk Forma as hosts, plus a web version, and a geometry override slider: "Decreasing the slider value ensures that your geometry remains faithful to the project" (EvolveLAB). The same page lists "Render from Same Seed," and doesn't mention a video feature. Veras and the other in-CAD visualizers covers them in more depth.
| App | Starts from | Consistency tools listed | Own video feature |
|---|---|---|---|
| mnml.ai | Sketches, photos, SketchUp, Revit or Rhino views | Region edits, erase, extend, Style Transfer | Video Animate: short clips with named shots |
| LookX | Text, sketches, SketchUp and Rhino via plugin | Custom models, Style Adapter, 1-Click Duplication | Video Generation from image or text |
| PromeAI | Could not be verified | Could not be verified | Could not be verified |
| Veras | Live views in SketchUp, Revit, Rhino, Archicad, Vectorworks, Forma, or web | Geometry override slider, Render from Same Seed | None listed |
Six outputs, one design: how to stop the building changing
An AI renderer doesn't remember your building. Each generation reinterprets the input, so six renders made from six loose prompts give you six cousins: similar massing, different windows, a roof that changes pitch, cladding that wanders from timber to fiber cement. A video tool can't fix that, and a film made from those images looks like six projects.
Anchor every image to the model
Start each of the six from a view of the same 3D model, or from drawings of the same design, rather than from text alone. mnml.ai and LookX both accept views from SketchUp or Rhino, and Veras renders the live model view. The model fixes the geometry; the AI only decides surfaces and light. Set up all six camera views in the model first, at the same eye height and with one aspect ratio, before you render anything.
Fix the settings once and reuse them
| Setting | What to hold constant |
|---|---|
| Style or preset | The same style, reference image or custom model for all six |
| Prompt | One written prompt naming the materials, season, time of day and weather, pasted unchanged into each render |
| Creativity or geometry override | Low, and the same value every time; raise it only for mood boards |
| Seed | The same seed where the app exposes one, such as Veras's "Render from Same Seed" |
| Aspect ratio | One ratio; portrait or square if the film is vertical |
| Output size | The app's full or upscaled size, the same for every image |
Edit, don't regenerate
When five renders are right and one has the wrong window, fix that window. mnml.ai lists region-level edits and erase; most AI renderers have an equivalent inpainting tool. Regenerating the whole image to fix one detail rolls the dice on everything else in it.
Cover six roles
Six renders of the front elevation make a dull film. Plan an establishing view, the approach, the main interior, a secondary space, a material detail and a closing view; the six roles a project video needs explains each. If you only have one strong render so far, getting from one image to six honestly covers which extra views count.
Fidelity checks before you animate
Put each render side by side with the model view it came from and check:
- Openings. The same number of windows and doors, in the same places, with the same mullion pattern. AI renderers add and merge openings more than anything else.
- Rooflines and floor counts. Follow the roof edge across the image; count the storeys.
- Materials. The cladding in the exterior matches the cladding visible from the interior views and in the detail shot.
- Structure that couldn't stand. Cantilevers with no support, columns that stop in mid-air, stairs that lead nowhere.
- Text and signage. Remove readable lettering; video models smear it.
- People and cars. Leave them out or keep them small. In an Arch2Video film, people in your images are replaced by a small cast of original, fictional adults, who appear in at least one scene.
- Light. Shadows fall the same way in every exterior, and the color temperature matches.
Fix every failure here. A video model reads pixels and extends what it sees; it doesn't know the model, so a merged window becomes a merged window that moves.
App clip or six-image film
| The app's own clip (mnml.ai Video Animate, LookX) | Six-image film | |
|---|---|---|
| Input | One render | Six renders of one design |
| Output | A short clip per render | About 30 seconds, six connected scenes |
| Control | You choose the shot or prompt per clip | The tool plans the sequence |
| Editing | You join clips and add music yourself | Delivered as one finished file |
| Best for | A hero clip for a website or a single post | A project Reel, Short or client update |
The app's own clip is the faster route if you need one moving image. For anything longer, you'd make six clips, join them in an editor and license music, which is where a finished-film tool saves the time.
Turning six AI renders into a 30-second film
Export the six checked renders at full or upscaled size. For Arch2Video, each image needs a long side of at least 512 pixels, with 1,500 pixels or more for the sharpest scenes; JPG, PNG, HEIC, TIFF and WebP are accepted up to 30 MB each. Upload all six to Arch2Video. There's no prompt box: the AI director plans the scene order, which may differ from your upload order, and uses every image once. You get a 1080 × 1920 vertical MP4 of about 30 seconds with six connected five-second scenes, an original soundtrack (Still Air by default, or Quiet Piano, Concrete or none) and your logo if you add one. It usually takes an hour or more, and you're emailed when it's ready. The price is USD 15 per video, paid once, with no subscription.
Watch the film against your fidelity checklist before posting. AI motion is an interpretation, so a camera move can reveal a side of the building no render showed, and the model will have invented it. Caption the film as concept work: "AI-assisted design visualization. Not a built project." AI rendering disclosure for architects has wording for built and unbuilt work.
Frequently asked questions
Can mnml.ai make a video from my render?
Yes. As of October 2026, mnml.ai lists Video Animate, which it describes as a way to "turn any still in the project into a short clip," with shots named as walkthrough, drone view, pull back or hero shot. Its home page doesn't state the clip length, so check the tool before planning around a duration. For a 30-second film, you'd either join several clips yourself or use six renders in a six-image film tool.
Why does my building look different in every AI render?
Because each generation reinterprets the input. Start every render from a view of the same model or drawing set, paste the same prompt and style settings into each, keep the creativity or geometry override low and constant, and reuse a seed where the app offers one. When one image is wrong, fix it with a region edit rather than regenerating the whole render.
Can I use AI renders from these apps in client work?
Check each app's terms for your plan. mnml.ai states that "all generated designs can be used commercially with any Pro plan subscription"; LookX and PromeAI terms weren't reviewed for this guide. Commercial permission from the app doesn't settle questions about what the image shows, such as a recognizable neighboring building. This is general information, not legal advice.
Should I keep the original model views after rendering?
Yes. Keep the model views, the prompt, the settings and the final renders together in the project folder. If a client or a reviewer asks how an image was made, or a later render needs to match, those files are the only record; the exported image won't tell you which prompt or seed produced it.