I work in the space. There are a lot of use cases that get censored by OpenAI, Kling, Runway, and various other providers for a wide variety of reasons:

- OpenAI is notorious for blocking copyrighted characters. They do prompt keyword scanning, but also run a VLM on the results so you can't "trick" the model.

- Lots of providers block public figures and celebrities.

- Various providers block LGBT imagery, even safe for work prompts. Kling is notorious for this.

- I was on a sales call with someone today who runs a father's advocacy group. I don't know what system he was using, but he said he found it impossible to generate an adult male with a child. In a totally safe for work context.

- Some systems block "PG-13" images of characters that are in bathing suits or scantily clad.

None of this is porn, mind you.

Sure but that has nothing to do with the model architecture and everything to do with the cloud inference providers wanting to cover their asses.

What does any of that have to do with the distinction between diffusion vs. autoregressive models?