NOTE: V4 changed the quality tags. Update your prompts.
This LoRA adds quality tags inspired by NAI to create aesthetically pleasing images without artist tags. The dataset was split into 4 tag groups based on their favcount on e621.
V4 is for fluffyrock-1088-minsnr-zsnr-vpred-ema (trained on e267), which requires a corresponding yaml file. You will also need the CFG Rescale extension.
V3 is for fluffyrock vpred (trained on e160).
Usage: add the tags to the prompt, use emphasis to change the strength of the effect. Do NOT use LoRA weight.
Positive prompt: (best quality, good quality:1.2)
Negative prompt: (worst quality, bad quality:1.2)Description
Trained more than 3x as long as v2, ending with 2 epochs at 896px to improve sharpness.
Resize is more conservative (sv_ratio=15 instead of 5), leading to larger filesize but outputs will be more faithful to the unresized model.