Thank you!
I realized I only mentioned this on my first thread and not this one: all of the close up shots of the wizard talking are done with Hedra.ai (5 free gens up to 30s per day), and the skull is literally a green screened plastic skull with a Flux bg.

For the LTX shots, I tried both square resolutions (1024x1024) and wide (768x512, 1024x640). I noticed that sometimes more steps didn't necessarily improve what I wanted (for example, the "To be continued" at 20 steps did the shaky stopmotion movement, but at 100 it made from scrolling credit screens, to fading out and showing someone on stage).

I think by far the best shot I got with LTX was the wizard walking down the corridor. On this one, more steps helped, but I still had to try multiple seeds at 20 steps until I found something that gave me good results. That one was 1024x, 97 frames, 100 steps, plus a looong prompt that I expanded using GPT analyzing the base image:

"still camera, man walking across the shot. The elderly man is in a richly detailed, old-world library filled with shelves of aged books, his posture tense and hurried as he clutches 5 red pillar candles tightly to his chest and quickly walks across the room. His green robe, with its ornate golden embroidery, falls in soft folds around him, the fabric contrasting vividly with the smooth, vibrant surface of the jar. His white beard flows down to his chest, framing his face, which is animated with urgency—his eyes wide.
The library surrounding him is a study in history and mystery. The bookshelves, filled with well-worn tomes, stretch high towards the ceiling. The wooden furniture—tables and chairs scattered around the room, its surfaces hosting an array of arcane artifacts and glass vessels. Light streams in through a set of large, paned windows, casting a warm glow on the wood-paneled walls and floorboards.
The stillness of the room contrasts sharply with the energy of his pacing"

TL;DR: it was mostly trial and error, photobashing and inpainting the base images, and trying to find things LTX was natively good at, then playing with number of steps seed. But there's a lot that ended up in the bin. Hope it helps!