A lora to celebrate the science fiction movies and shows of the 1950s. It's fairly narrowly trained, doing well with space suits, bulky robots and moon-like landscapes.

I'm still learning about training, and one thing I learned is that since I've trained at a width of max 544p, the further you deviate from this, the less the lora will affect the output.

I should vary and increase the size more for the next version.

Hunyuan loras trained using https://github.com/a-r-r-o-w/finetrainers

All images/videos in showcase contain ComfyUI workflows.

Wan 2.2:

The Low noise lora has absolutely most effect for style. High noise still affects the outcome, but to a much less degree.

For the Wan showcase, I use 25 steps: 15/10. 0.8 strength, and dpm++_sde scheduler in ComfyUI. I haven't had a lot of time for testing, but it might be that it loses strength as you go up in frames.

I use Q4.gguf for High noise, and Q6 for Low noise, for no particular reason. No block swapping.

Wan lora trained with diffusion-pipe.