First of all, I would like to thanks @artificialguybr (techguy), CivitAI (dataset) and Redmond.AI (GPU Power) for the training of this checkpoint model.

Finetuned over SDXL1.0.

The idea was to train a robust and consistent model using images generated by CivitAI users. A total of 2,197 images were manually selected and tagged with BLIP-2.

I recommend generating images at least in 1024x1024 resolution for the best results.

However, 832x1216 works fine too!

A good workflow:

Prompt: Whatever you want

Steps: 30

Sampler: DPM++ SDE

CFG scale: 7

Size: 832x1216

Upscaler: 4x-UniScaleV2_Moderate

Upscale by: 1.5

Denoising strength: 0,25~0,35

The model tends to exhibit texture features reminiscent of artistic models from version 1.5 and also tends to displays a kind of oriental eyes.

As soon as possible, I will attempt to generate a new version with wildcards and a more refined training process for photorealism.