u/Southern-Chain-6485

>I'm using 20 steps in the first passwithout the distill lora to try (maybe I should either use distill or lots more of steps? I'm using Kijai's unet). I've tried with euler, euler ancestral, and lcm, with this workflow I've found in civitai https://pastebin.com/H7t2iB99 and the motion ends up wrong by the end of the video and see how her hair, the sword and everything the model has to add it's just artifacts. How do people get good results? This the prompt I'm using, with the enhancer llm distributed with Sulphur : In a cinematic series of shots, the final fight between Plucky Heroine and Mecha McGoon unfolds. Plucky Heroine, standing at the left of the frame, jumps 6 meters up and forwards into the air, assisted by her powersuit, she raises her sword and swings it down, crushing Mecha McGoon mechanical head.

>

> Epic music in the background, rain droplets, the sword swooshes as Plucky Heroine unleashes her strike. The camera tracks Plucky Heroine.

Yeah, it was a simple 1girl portrait (a very close up dslr photographic portrait of a tall, pretty, feminine 18 years old sorceress. She has white skin, long straight dark brown hair tied upwards. She has Brown eyes and a perky nose. She wears a blue scarf. She's defiant, stalking someone unseen. She stands looking at the viewer.\\nThree point lighting, the sorceress facial features are easily distinguishable, the light smoothes them) and even though the prompt specifies dslr photo, the last sampler still veered into illustration (heun, if unprompted, tends to go for cartoon or illustration as well).

Euler ancestral, Euler, Gradient estimation and others give you just what you ask of them, but I was pleasantly surprised by the exp_heun and the dpmp_2m_sde_gpu samplers. Of course, they aren't useful if you want photographic images for whatever reasons. But if you want to be surprised, those samplers are worth a try.

(the image is resized, so I don't think it keeps the metadata, as it didn't fit in its full size)