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Boring SD XL Negative LORA: Enhance Images Stylistically AND Topically

209
3.4k
6.3k
64
Verified:
SafeTensor
Type
LoRA
Stats
2,649
6,148
Reviews
Published
Apr 29, 2024
Base Model
Pony
Training
Steps: 48,642
Epochs: 10
Usage Tips
Clip Skip: 2
Hash
AutoV2
58675C8E53

Inspired by the popular Boring_e621 negative embedding https://civitai.com/models/87781?modelVersionId=94126 , this is a negative LORA trained on thousands of images across years of data from different boorus with 0 favorites, negative scores, and/or bad tags like "low quality." Therefore putting it in the Negative Prompt tells the AI to avoid these things, which results in higher quality and more interesting images.

Pros:

-Generally increases quality which means more details, better depth with more shading and lighting effects, brighter colors and better contrast

Could be Pro or Con depending on what you want:

-Tends to generate more detailed backgrounds

-Tends towards a more detailed or even more realistic look

Cons:

-Many of the training images were low resolution sketches or MSPaint style doodles, if you are trying to generate sketches or doodle style work putting this in the negatives may be detrimental

-Many of the training images were black and white sketches or otherwise monochrome/grayscale, if you are trying to generate images without color putting this in the negatives may be detrimental

-Accidentally putting this in the positive prompt instead of the negative prompt reduces the quality of images


Test images was done using a weight of 1 with only this LORA in the negative prompt. You can adjust the weight of the LORA to change the impact, however in my testing the impact of different weights was minimal.

The first version uploaded "boring_SDXL_negative_LORA_SeaArtXL_v1" was trained on the Sea Art XL model (https://civitai.com/models/391781/seaart-furry-xl-10) and is intended to be used with that model. The second version was trained for AutismMix SDXL (https://civitai.com/models/288584?modelVersionId=324524). Please feel free to request if you want a version trained specifically for any other SD XL model.