Aesthetic Quality Modifiers - Complete

Training data is a subset of all my manally rated datasets with the quality/aesthetic modifiers, including only the masterpiece, best quality , or very aesthetic tagged images (7273 total).

Superset and final of models in the Aesthetic Quality Modifiers Collection.

ℹ️ LoRA work best when applied to the base models on which they are trained. Please check the versions for the appropriate base models.

Recommended prompt structure:

Positive prompt (quality tags at the end of prompt):

{{tags}}
masterpiece, best quality, very aesthetic

Generation Settings:

Previews are generated in Forge with upscaling and adetailer.

For Noobai V-Pred, a ComfyUI workflow reference with DynamicThresholding, Upscaling, and FaceDetailer can be found here: https://civitai.com/posts/11457095

Trained on NoobAI-XL (NAI-XL) V-Pred 1.0-Version

Included addtional ~2000 (now 7273 total) newly rated images.

Training/tagging updates:

• changemin_snr_gamma from 5 to 0

  • should produce closer lighting/blacks to base model

• tag nsfw explicit with imgutils anime_rating

Previews are generated in Forge with DynamicThresholding (CFG-Fix) Integrated enabled, settings.

dynthres_enabled: True, dynthres_mimic_scale: 7, dynthres_threshold_percentile: 1, dynthres_mimic_mode: Half Cosine Down, dynthres_mimic_scale_min: 1, dynthres_cfg_mode: Half Cosine Down, dynthres_cfg_scale_min: 3, dynthres_sched_val: 1, dynthres_separate_feature_channels: enable, dynthres_scaling_startpoint: ZERO, dynthres_variability_measure: STD, dynthres_interpolate_phi: 1