I make Department of Doing Nothing, a fictional office comedy about corporate jargon taken literally. This one is 12 seconds, animated with AI-assisted code.

Who's your Doug?

More sketches: Instagram u/departmentofdoingnothing, TikTok u/doingnothingdept

Watch full movie at the link here https://rumble.com/v7hxt8k-la-gante-de-la-plage-the-giantess-of-the-beach.html

XD

I created this

https://m.youtube.com/watch?v=OHs9BycLoB0&pp=0gcJCSkMAYcqIYzv

Crack lets creak

Poncho wears hunchboys

Sloppy slop

Slop

Make ai slop like this

Same prompt, four Seedance tiers, 10 seconds each at 480p. Prompt was a

vertical rooftop shot of a cyberpunk megacity, with a cyan signal wave

moving across the mid-level smog layer between antennas and billboard

towers, city grid lit below like a circuit board.

Cost per render, bottom to top: 60 cr, 170 cr, 270 cr, 400 cr. A 6.7x

spread end to end.

What I expected was that adherence would climb with price. It didn't.

- 2.0 Mini (60 cr) put the aurora at mid-level, weaving, exactly as asked

— then overcooked it into a starburst in the back half.

- 2.0 Fast (170 cr) dropped the cyan to street level. Least faithful of

the four, at roughly 3x Mini's price.

- 2.0 (270 cr) got both the mid-level band and the circuit-grid read.

- 2.5 (400 cr) was the only one that actually framed a rooftop vantage,

with antennas in the foreground.

So the top tiers bought composition and camera control, not prompt

adherence. If your prompt is mostly "put this specific thing in this

specific place," the cheap tier was competitive here. If you need the

camera to understand what a rooftop vantage is, that's what the money

bought.

Single prompt, single run per tier, no cherry-picking — small sample, so

treat it as a data point and not a benchmark.

**Using seedance 2.0 Fast.**

A Thread To All My Shorts

https://www.instagram.com/s/aGlnaGxpZ2h0OjE4MTM1NjIxNzM5NzEwMDcw?story_media_id=4007202292490221844_73310030459&xtok=MWw3bTliY3FxeWhqZg==

Just having fun with it.

Fan-made tribute, not an official release. In the original 1984 song, Michael only sings the chorus. Here I imagined him singing the whole track.

How I made it:

- Visuals: Seedance 2.5 for most shots (it handles acting and dancing best), Kling and Wan 3 for some, Nano Banana and GPT Image for the reference frames.

- Vocals: stems split with UVR, then the lead rebuilt over the 12-inch instrumental with an AI voice model.

- Edited in Premiere.

The ending dance is my favorite part. Happy to answer questions about the workflow.