【LoCon / Illustrious-XL】L3n4's Beholder Vision

LOCON
Original


Updated:

Introduction to Beholder Vision

Beholder Vision began as an experimental LyCORIS-LoCon for Illustrious-XL v0.1, trained on 126 meticulously curated images of aesthetic anime art.

The concept: create “eye-candy” results, with flexibility to adapt to a variety of creative needs.

Usage Recommendations

Illustrious XL Ver. Parameters (Recommended as of Nov 30, 2024):

  • Strength: 1.01.2 (personally go for just 1.0)

  • Sampler: DPM++ 2M SDE (Karras)

  • Steps: 2535

  • CFG Scale: 67

Changelog and Updates

Dec 6, 2024

Version 3o is here!

Dec 4, 2024

Version 2.1o is now available! This marks a complete rework of the initial test version for Pony. It has been trained 5,490 steps, making it competitive with the original Beholder Vision.

  • Despite its extensive improvements, the new LoRA is just 54.8MB—half the size of previous Pony iterations of the model and vastly enhanced in every aspect.

Dec 2, 2024

The first version of Beholder Vision for FLUX.1 [dev], 1.3o, is now out.

Nov 30, 2024

I’m excited to announce Beholder Vision 1o (and its successor, 1.1o)!

  • 1o debuts as an experimental GLoRA, while 1.1o returns to classic LoCon, delivering improved performance at a smaller file size.

  • Now natively compatible with other SDXL models, including NoobAI-XL Epsilon-pred 1.0-Version.

This version represents a significant leap forward over the 0.9beta, thanks to an upgraded training dataset and finely tuned parameters. (Details on the dataset and parameters will be shared if there’s interest.)

Version Detail

Illustrious
The first iteration of my Beholder Vision LoCon (LyCORIS). Trained on a dataset of 126 images.

Project Permissions

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

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