Aesthetic Quality Modifiers - Masterpiece

Training data is a subset of all my manally rated datasets with the quality/aesthetic modifiers, including only the masterpiece tagged images.

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

Recommended prompt structure:

(remove score_ tags for illustrious, use very awa for noobai)

Positive prompt:

{{tags}}

score_9, score_8_up, score_7_up, score_6_up, masterpiece, best quality, very aesthetic, absurdres

Negative prompt:

(worst quality, low quality:1.1), score_4, score_3, score_2, score_1, error, bad anatomy, bad hands, watermark, ugly, distorted, signature

描述:

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

With the kohya_ss dev branch, v_paratemization ,zero_terminal_ssr enabled, and noise offet set to 0.

Included some newly rated images and small updates to match the noobai tagging:

by {artist} -> artist:{artist}
very aesthetic -> very awa

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