Check the version description below for more info and add a ❤️ to receive future updates.
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.