01
Photos, video, and 360°
Stills, ordinary video, equirectangular 360°, or Insta360 dual-fisheye clips — several at once, mixed, in a single scene. Both lenses are solved, and the camera operator can be masked out.
Mac · Windows · Linux · on-device
Shoot it once.
Then look from anywhere.
Capture an object or a space with a phone, an action camera, or a DSLR. LuluSplat solves the camera positions and trains a photorealistic 3D Gaussian Splat you can orbit — entirely on your own GPU, on Mac, Windows or Linux. No uploads, no account, no subscription.
Windows may say “Windows protected your PC” for this installer — choose More info, then Run anyway.
- Mac · M1 or later · 110 MB
- Windows · 10/11 · Vulkan · 83 MB
- Linux (beta) · Vulkan · 98–103 MB
- 01
Ingest
Stills, video, equirectangular 360°, Insta360 .insv — mixed in one scene.
- 02
Extract
Frames pulled from clips, blurry ones rejected at a threshold you set.
- 03
Solve
Camera poses and a sparse point cloud, checked before training starts.
- 04
Train
Vanilla or MCMC on your own GPU — Metal on Mac, Vulkan on Windows and Linux.
- 05
Export
.ply and .splat, plus a run log with counts, timings and peak memory.
01 How it works
Three steps from footage to a scene you can orbit.
Step 01 / 03
Drop in your media
A folder of stills, ordinary video, equirectangular 360° footage, or Insta360 dual-fisheye clips — several at once, mixed together, in a single scene. Camera positions are solved for you.
Shot on a phone, an action cam, or a DSLR — it all works.
Step 02 / 03
Problems caught early
Blurry frames are dropped as they are extracted, and the reconstruction is checked before the long training step. A capture with too little overlap is flagged in seconds rather than an hour in.
A blur threshold you can tune, and a warning that says plainly what went wrong.
Step 03 / 03
Watch it converge
Orbit the scene as it trains — rough at first, sharpening as it goes. Switch the live viewport off for a faster run.
Full console output, and a RAM readout for the run in progress.
02 Features
Built for the whole capture, not just the pretty part.
02
Problems caught early
Blurry frames are dropped as they are extracted, and the reconstruction is checked before the long training step — so a thin capture is flagged in seconds, not an hour in.
03
Two ways to train
Vanilla grows splats wherever detail is missing. MCMC trains a fixed number and keeps moving them to where they help most, with memory known before it starts. Train a project with each and compare.
04
Native on Mac, Windows and Linux
Reconstruction and rendering run on your own GPU — Metal on Apple silicon, Vulkan on Windows and Linux. No cloud instance, no queue, nothing to rent.
05
Bring your own reconstruction
Already have COLMAP data? Import it and skip straight to training. Batches accept it too — a folder that already holds a reconstruction goes right to the training step.
06
Completely private
Your photos and video never leave the machine. Nothing is uploaded, there is no queue to wait in, and it all works offline.
03 Automation
Run it at volume, or without sitting in front of it.
Everything above is the whole app. These are for the days when one capture at a time is not the job.
A / Batch
Queue the captures and walk away
Line up as many captures as you like and leave the machine to it. Each becomes its own project with its own settings.
- The list saves itself — a run interrupted overnight picks up where it stopped, finished projects skipped and failed ones retried.
- Folders that already hold a COLMAP reconstruction go straight to training.
- Ordinary video, 360°, and Insta360 clips can all go in together.
B / Command line
The app is its own CLI
Give it a subcommand and it runs headlessly instead of opening a window.
- Build a capture, import a reconstruction, train again, or run a saved batch — from a script, a cron job, or a watch folder.
- Progress on stderr, results on stdout:
--jsonpipes straight into build systems and render farms. - Authorise a folder once and it works everywhere beneath it.
- run
- import
- train
- batch
- grant
- mcp
C / AI assistants
A built-in MCP server
Claude and other assistants can drive the pipeline themselves, over the Model Context Protocol.
- Build a splat, follow it as it trains, and report on projects already finished.
- Ask it how to shoot a capture that reconstructs well, before you shoot it.
- Training logs are exposed as resources, so an assistant asked why a run was slow can read the timings rather than guess.
04 Export
Finish here. Keep working anywhere.
Save finished scenes as .ply and .splat — the formats Gaussian Splat viewers, web players, and DCC plugins already read. Every run also appends its splat count, quality, duration, and peak memory to output-log.txt.
Need a different 3DGS format? Use our online converter, Pebee
Need transition effects? Use our online 3DGS Transition Lab
05 Get it
LuluSplat: 3D Gaussian Splat
Capture any real-world object or space, and inspect it from angles you never stood in. On your own machine, on your terms.
Windows may say “Windows protected your PC” for this installer — choose More info, then Run anyway.
Mac · .dmg · 110 MB
Windows · .exe · 83 MB
Linux (beta) · .deb · .rpm · .tar.xz · 98–103 MB
The direct downloads are completely free. Get it from the Mac App Store or the Microsoft Store to support development and receive automatic updates.
- Mac
- Apple silicon — M1 or later · v1.1.3 · .dmg · 110 MB
- Windows
- Windows 10 or 11, 64-bit · Vulkan-capable GPU from 2016 or later · v1.1.3 · .exe · 83 MB
- Linux
- x86-64 · Vulkan 1.1 GPU driver · .deb for Ubuntu 24.04, .rpm for the RHEL 9 family, or .tar.xz · beta · v1.1.3 · 98–103 MB
- Compute
- On-device GPU — Metal on Mac, Vulkan on Windows and Linux — no cloud instance
- Trainers
- MacVanilla (gsplat), MCMC (metal-gauss) Windows · LinuxVanilla (gsplat), MCMC (metal-gauss Vulkan port)
- Input
- Stills, video, equirectangular 360°, Insta360 .insv, COLMAP
- Output
- .ply, .splat,
output-log.txt - Automation
- CLI subcommands, MCP server
- Network
- Not required — fully offline capable
What's new
1.1.3 latest
- A new Vanilla trainer — runs on the same Metal engine as MCMC with gsplat's proven settings: dense detail trains in full, using less memory, and an Unlimited budget stops at what your Mac can hold.
- The viewport fills the window — a wider window shows more of the scene instead of black bars.
- A realistic time left — the estimate allows for training slowing down as the scene grows; a "~" marks it while it may still change.
1.1.2
- Faster camera solving — feature matching now runs on the GPU and checks every feature, for slightly more detail. Switch it off in the sparse settings to match on the CPU.
- Leaner bundle adjustment — the scene is refined less often as it grows, cutting that stage by about a third with the same accuracy.
1.1.1
- Large captures caught before they load — checked up front, with the Training resolution that will fit.
- Vanilla stops before memory runs out — halts at what your Mac can hold and keeps everything trained so far.
- The live viewport steps aside — if the GPU can't spare memory, it switches off and training carries on.
1.1.0
- A second trainer: MCMC — trains a fixed splat budget, so memory is known before it starts. Pick Vanilla or MCMC per project.
- Splat budgets — cap either trainer from 100k to 100M; a budget this Mac can't hold is refused up front.
- Training resolution — one setting caps the image size both trainers work from.
- Help on every setting — a ? beside each one explains what it does.
- A sharper live viewport — on from the start, no dropped splats in dense areas, smooth while training.
- Half the memory for Vanilla — training images held at a quarter of their former size.
- Finished scenes open faster — viewing no longer loads the training images.
1.0.4
- Command line — drive the app from a script, with JSON results for pipelines.
- AI assistants — an MCP server, so Claude and others can build a splat and follow it as it trains.
- Drone propellers — Trim edges keeps fisheye rims out of tracking; Crop edges keeps them out of training.
- Readable over bright scenes — the scene panel and sparse/splat switch no longer wash out against a sky.
- Stopping actually stops — cancelling during a load takes effect at once, and reads as stopped rather than failed.
- Large captures load leaner — peak memory during load is down by about a third.
1.0.3
- Fisheye reconstructions — COLMAP data solved with a fisheye model is undistorted on import and trains like any other.
- Multi-camera and rig captures — per-camera folders are found wherever they sit; COLMAP rigs import unchanged.
- Folders read all the way down — images and video are picked up from subfolders at any depth.
- Version in the window header — without opening Help to find it.
1.0.2
- Insta360 .insv — dual-fisheye clips import directly, both lenses solved, operator maskable.
- Several videos in one scene — mix as many clips as you like — ordinary video and 360° together.
- Batch processing — queue captures, each its own project; an interrupted run resumes where it stopped.
- Batches accept COLMAP data — a folder holding a reconstruction goes straight to training.
- Training log — splat count, quality, duration and peak memory appended to output-log.txt.
- Leaner memory — fixed a leak that grew GPU memory for the length of a run — peak down by about two thirds.
1.1.3 latest
- Folders, all the way down — New from Media takes a folder and picks up images and video from subfolders at any depth; projects already built inside are skipped.
- Mixed captures solve correctly — ordinary photos alongside fisheye or 360° footage keep their own camera model.
- Starts alongside overlay tools — Vulkan overlays such as OBS, FPS monitors and GeForce Experience no longer make the app quit on launch.
1.1.2
- First Windows release — LuluSplat on Windows 10 and 11 (64-bit), on any Vulkan-capable GPU from 2016 or later.
- Trainers — Vanilla (gsplat) and MCMC (metal-gauss Vulkan port).
- Faster camera solving — feature matching runs on the GPU.
- External COLMAP — use your own CUDA build of COLMAP, set in Settings.
- External FFmpeg — use your own FFmpeg, set in Settings.
1.1.3 beta
- First Linux release — x86-64, on any Vulkan 1.1 GPU: a .deb for Ubuntu 24.04, an .rpm for the RHEL 9 family, or a tarball that installs without root.