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Princess Connect - Priconne Character Focus ☆3/☆6 Style

370
1.9k
14
Type
LoRA
Stats
1,921
Reviews
Published
Mar 7, 2023
Base Model
SD 1.5
Training
Steps: 25,920
Epochs: 60
Hash
AutoV2
E7777B5223
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SDXL Training Contest Participant
Machi's Avatar
Machi

This LoRA model is a bit unique in that not only does it assist in imitating the Princess Connect! Re:Dive art style, but due to the relatively consistent composition and posing in the reference works it is very good at creating scenes with a centrally located character as the focus with high level of detail for and around the character.

Main features

  • Good at wide aspect ratios

  • Good at keeping characters in frame ("feet out of frame", "thighs", etc. prompts won't cause super zoom in nearly as often)

  • Good at enhancing visual elements around the subject character

  • Priconne art style

Other features

  • Good for highres fix (all images bucket to 960x512, trained at 960 res)

  • A bit better than usual at background continuity across areas interrupted by foreground (just a little, don't expect miracles)

  • Helps somewhat with Counterfeit-V2.5 LoRA compatibility by reducing the multiple characters appearing issue.

  • Can assist with composing scenes for use with ControlNet, img2img to achieve detailed compositions of different styles

Use & Prompting

  • No activation tokens are required.

  • (At the moment) For use with Counterfeit-V2.5. I can't guarantee it'll work well on any other model, as LoRA trained on Counterfeit-V2.5 tend to behave oddly when used elsewhere.

  • Weights between 0.6-1.0 recommended.

    • If using with character LoRA, try starting on the lower end

    • Other style LoRAs will tend to clash. I recommend low or no weight of the accompanying LoRA for initial gen and then img2img afterwards

  • Sometimes, faces will appear on the right side (due to ☆6 Rima...). Add (solo) or other such emphasis/negatives to suppress this.

Dataset

All ☆3 and ☆6 character art up to Café Tamaki. Six star artworks were repeated 4x per epoch, three star 1x per.

Tagging was done via wd14-swinv2-v2 with threshold 0.15. All character tags were then removed.