EMA produces sharper images while MSE's images are smoother
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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://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
Scheduler: diffusers.EulerAncestralDiscreteScheduler
Steps: 30
Seed: 44
Prompt: kneeling cat knight, portrait, finely detailed armor, intricate design, silver, silk, cinematic lighting, 4k
CFG Scale: 7.5
Scheduler: diffusers.EulerAncestralDiscreteScheduler
Steps: 50
Seed: 44
Prompt: a beautiful girl In front of the cabin, the country, by Artgerm Lau and Krenz Cushart,hyperdetailed, trending on artstation, trending on deviantart
CFG Scale: 7.5
Scheduler: diffusers.EulerAncestralDiscreteScheduler
Steps: 50
Seed: 44
Prompt: destroyed city
CFG Scale: 7.5
Scheduler: diffusers.EulerAncestralDiscreteScheduler
Steps: 50
Seed: 44
Prompt: victorian city landscape
CFG Scale: 7.5
Scheduler: diffusers.EulerAncestralDiscreteScheduler
Steps: 50
Seed: 44
Prompt: prehistoric native living room
CFG Scale: 7.5
Scheduler: diffusers.EulerAncestralDiscreteScheduler
Steps: 50
Seed: 44