motimalu
7 months ago
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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.
Recommended prompt structure:
(remove score tags for illustrious)
Positive prompt:
{{tags}}
score_9, score_8_up, score_7_up, score_6_up, absurdres, masterpiece, best quality, very aestheticNegative prompt:
(worst quality, low quality:1.1), score_4, score_3, score_2, score_1, error, bad anatomy, bad hands, watermark, ugly, distorted, signature
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Info
Base model: SDXL 1.0
Trigger word:
Version v1.0 [noobai-v-pred-1]: 1 File
To download these files, please visit this page from a desktop computer.
About this version: v1.0 [noobai-v-pred-1]
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: 17 Versions
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