Xenogenesis

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🧬 V.I.R.T.E.X Series

Current releases:

  • X – Xenogenesis β†’ clean anime base

  • E – Evolve β†’ enhanced detail lightning

  • T – (Will likely be a merge focused on inpainting or noise reduction)

  • R –

  • I –

  • V –

Future versions will explore different styles, eventually create a balanced mix between semi-realistic anime and pure anime.


X: Xenogenesis is the first release in my V.I.R.T.E.X series of merge checkpoints.
It represents a clean, stable anime style, focused on character quality and consistency.

This model is optimized for:

  • sharp anime faces

  • smooth, clean shading

  • stable anatomy

  • predictable results

It avoids excessive realism and noise, keeping a pure anime look with controlled detail.


✨ Key Features

  • Clean anime face rendering (no over-realism)

  • Stable eyes and facial structure

  • Smooth, polished shading

  • (Probably) Good performance with LoRAs

  • Consistent results across prompts


βš™οΈ Recommended Forge NEO Settings

Sampling method:

  • Euler A (recommended)

  • TCD_Euler_A (stronger but more aggressive)

Schedule:

  • DDIM

  • Karras (best for final clean passes)

Steps:

  • 20-30

CFG:

  • CFG 4-7

Resolution:

  • 1024Γ—1216

  • 1216Γ—1216


πŸ”§ Forge NEO Tools (Recommended)

SAG (Self-Attention Guidance)

Scale:

  • 0.5

Blur Sigma:

  • 2

Blur mask threshold:

  • 1

🧩 MultiDiffusion (High Resolution Upscaling)

Use MultiDiffusion when generating at higher resolutions, for example:
1536Γ—1536 β†’ 3072Γ—3072

This helps maintain:

  • detail consistency

  • sharpness

  • clean structure without artifacts

βš™οΈ Recommended Settings

Method:
Mixture of Diffusers

Tile Width / Height:

  • Set to half of target resolution
    (example: 3072 β†’ 1536)

Tile Overlap:

  • 64

  • 96

  • 256

Tile Batch Size:

  • 4

*High denoise strength may introduce artifacts or instability (recommended maximum: 0.45).


🧠 Notes

  • Works best with my style LoRA's!

  • Currently the simplest of the marge in series.

  • Fell free to experiment! Results may vary depending od workflow!


πŸ“¦ Base Models Used:

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