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Wizardry - limited palette

2.4k

Updated: Feb 18, 2026

stylestylized

Verified:

SafeTensor

Type

LoRA

Stats

144

499

101

Reviews

Published

May 4, 2024

Base Model

Pony

Training

Epochs: 17

Usage Tips

Strength: 1

Trigger Words

wizardry
illustration

Hash

AutoV2
AC7455B05D
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xRob's Avatar

xRob

Current version 0.15

Normal Strenght of 0.6-0.8 & Pony version beween 1 - 2

I personally love this style, it is something in between refined and unrefined,

This version has around 15% of the data i have, and i think it produces good enough results for a early access release.

Latest release: Wizardry for Illustrious

Version: Pre-Alpha 0.1
Type: LoRA (SDXL)

Wizardry for Illustrious is an early-stage LoRA trained on WAI-illustrious-SDXL v16. This is a foundational release intended as a baseline for future iterations. The current version reflects experimental keyword structuring and strength calibration, both of which will be revised in upcoming updates.

Current Status

This is a pre-alpha build. Prompt keywords are likely overextended due to long text conditioning during training, which may affect consistency and control. Strength scaling is not fully calibrated at the default 1.0 weight.

Future versions will:

  • Refine keyword structure and reduce over-conditioning

  • Improve strength responsiveness

  • Adjust training balance for better baseline usability


  • Suggested weight range: 1.25 – 2.75

  • 1.0 weight: Underpowered / weak influence

  • 4.0 weight: Likely to destabilize outputs

For best results, begin at 1.5–2.0 and adjust incrementally.


Base Model Compatibility

  • Primary generation base: WAI-illustrious-SDXL v16

  • Alternative base: WAI-illustrious-SDXL v14 (may produce a more artistic output; not fully tested)

No additional LoRAs were used during testing. Given Illustrious’ strong baseline capabilities, stacking should be viable, but compatibility has not yet been formally evaluated.


Notes

This release serves as a structural baseline for the Wizardry line. Expect substantial changes in future versions as prompt architecture and training refinement are improved.