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 read the About This Version on the appropriate base models and workflow/training information.
Recommended prompt structure:
Positive prompt (quality tags at the end of prompt):
{{tags}}
masterpiece, best quality, very aestheticGeneration 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://civarchive.com/posts/11457095
Description
Trained on NoobAI-XL (NAI-XL) V-Pred 1.0-Version
Included addtional ~2000 (now 7273 total) newly rated images.
Training/tagging updates:
change
min_snr_gammafrom 5 to 0should produce closer lighting/blacks to base model
tag
nsfwexplicitwith 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