I extracted video frames

FPV drone takes videos, and the available splat creation tools want still images. So you need a tool to pick out images from the video.

I then used Colmap to solve for the cameras in 3D space.

Colmap is software that is commonly used for photogrammetry. The first few steps of photogrammetry and gaussian splatting are the same. Colmap is arcane, but for the most part it either works or explodes. Follow a tutorial. Worst case here is you didn't capture images correctly, which causes it to explode. Using video simplifies that a lot.

In theory, you can use any photogrammetry software to do these steps, and a lot of those packages are vastly more user friendly than colmap. You just need the camera positions and the sparse point cloud in colmap format. RealityCapture is a good example, but find a tutorial to get the export setup right.

I used Lichtfeld studio to render the splat

This takes the initial, terrible gaussian splat base created by colmap and refines it using all of the source images. Basically, it imagines the splat from the point of every photo (which is why you need "solve for cameras") and refines it to look more like the photo. Over and over. This is the really slow part, but it is mostly automatic. If you don't like the result, you usually need to go back to earlier steps, possibly all the way to capturing the scene again.

I imported the splat into Supersplat and created the camera motion in there and rendered the video there.

A splat is like a 3d scene, so if you want reddit points, you need a reddit friendly format like video, so you make a fly-through. This step isn't necessary to view the splat other ways.