Miniaturus Potentia is my sd 1.5 family of models using my main acheivements discovered and first implemented within SDXL/Proteus.

trained on 220k GPTV captioned images and than dpo tuned on 3k hand picked stylistic images. the same methodoligy used for Proteus.

Settings for Miniaturus_Potentia

Use these settings for the best results with Miniaturus_Potentia :

CFG Scale: Use a CFG scale of 8.5

Steps: 35 to 70 steps for more detail, 35 steps for faster results.

Sampler: DPM++ 3M SDE

Scheduler: Karras

Use it with 🧨 diffusers

from diffusers import AutoPipelineForText2Image
import torch
        
pipeline = AutoPipelineForText2Image.from_pretrained('dataautogpt3/Miniaturus_PotentiaV1.2', torch_dtype=torch.float16).to('cuda')        
image = pipeline('The image features an older man, a long white beard and mustache,  He has a stern expression, giving the impression of a wise and experienced individual. The mans beard and mustache are prominent, adding to his distinguished appearance. The close-up shot of the mans face emphasizes his facial features and the intensity of his gaze.').images[0]

You are free to:

Share — copy and redistribute the material in any medium or format for personal use only. Commercial use is not permitted without direct consultation from the author.

Adapt — remix, transform, and build upon the material for personal use only. Commercial use is not permitted without direct consultation from the author.

The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

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