GSwan/LexArtDiffuzeX · Hugging Face

EMA produces sharper images while MSE's images are smoother

Sharing this model with the community. As it closely resembles Lexica Art V2 or Lexica Aperture v2, this product is an excellent choice.

It's absolutely amazing how we're able to create incredibly realistic faces with only a few simple steps.

If you want to support my work, you can buy me a coffee or tea:

https://ko-fi.com/gswan

https://www.buymeacoffee.com/gswan

Enhance your writing prompt by adding the estilovintedois prefix, as it guarantees a consistent writing style.

"While you're welcome to use this model, please keep in mind that any potential damages or mishaps resulting from its use are not our responsibility..."

"This model was trained on a large amount of high quality images with simple prompts to generate beautiful images without a lot of prompt engineering."

"It should also be very dreamboothable, being able to generate high fidelity faces with a little amount of steps."

This model is based on vintedois_diffusion. Credit to the original developers. Vintedois (22h) Diffusion model trained by Predogl and piEsposito with open weights, configs and prompts (as it should be).

Example prompts

Prompt: photo of an old man in a jungle, looking at the camera

CFG Scale: 7.5