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
With the kohya_ss dev branch, v_paratemization and zero_terminal_ssr enabled.
Updated the training data to include some recently rated datasets
Total 6,661 images
Updated some tags to match noobai tagging conventions
very aesthetictags tovery awaby {artist}tags toartist:{artist}
Previews use CFG of 10 with DynamicThresholding (CFG-Fix) Integrated in Forge
A CFG of 5.5 is recommended if not using this, references on the effect of CFG on image saturation: https://civitai.com/posts/11143736
ComfyUI reference example with DynamicThresholding: https://civitai.com/images/49703093
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Available On (2 platforms)
Same model published on other platforms. May have additional downloads or version variants.