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⭐ RebelEssence_ZIT — Punk/Gothic Editorial Style LoRA (ZImage Turbo)

A modular, stable, clean and highly coherent Style LoRA.

RebelEssence_ZIT is a Style LoRA designed to bring a dark fashion, punk/gothic, editorial aesthetic into your generations. It delivers clean skin, precise makeup, metallic accessories, and a controlled alternative mood without overpowering the base model.

The LoRA was trained using a modular 10‑folder dataset structure, with each folder dedicated to a specific visual component:

Reference (face, skin, proportions)
Hair (texture, volume, consistency)
Makeup (gothic/punk, eyeliner, smokey eyes)
Outfit (leather, mesh, dark fashion)
Accessories (chokers, chains, metal details)
Poses (natural and dynamic posture)
Full Body (proportions and silhouette)
Lighting (neon, soft contrast, dramatic light)
Backgrounds (studio, urban dark, industrial)
Close-ups (skin texture, eyes, fine details)

This structure gives the model an exceptionally balanced bias: no drift, no forced identity, no unwanted facial imprinting, and no contamination. It responds to prompts in a clean, controlled, and predictable way.

⭐ LoRA Strength (Weight)

RebelEssence_ZIT remains stable even at high strengths.

Recommended range: 0.7 → 1.0
0.7 = softer integration, more natural look
0.8–0.9 = sweet spot, strong and coherent style
1.0 = full identity with no artifacts

The LoRA holds 1.0 without collapsing, without glitches, and without plastic skin — a rare behavior for ZImage Turbo.

⭐ Training Details

Base: ZImage Turbo
Rank: 12
Alpha: 1
Learning Rate: 0.000085
Steps: 1600
Batch Size: 2
Weight Decay: 0.0001
Dataset: Modular 10‑folder structure
Trigger Word: rebelessence

The training was calibrated to achieve:

strong but non-invasive identity
consistent style without rigidity
zero ethnic drift
zero artifacts
zero contamination
zero plastic skin

⭐ What You Can Create with RebelEssence_ZIT

dark fashion editorial portraits
punk/gothic beauty shots
full-body leather/mesh outfits
neon lighting (blue/purple)
urban dark scenes
high‑definition close-ups
alternative/punk metal aesthetics
ethnic variations (asian, african, latina, caucasian) without drift

The model respects ethnic prompts and does not override them — a sign of a clean dataset and controlled bias.

⭐ Why It’s a Modular Style LoRA

Thanks to the 10‑folder structure, RebelEssence_ZIT:

does not impose a fixed face
does not force a specific outfit
does not repeat poses
does not lock backgrounds
does not collapse into one lighting style

It interprets your prompt instead of copying the dataset. This makes it extremely versatile and production‑ready.

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