---
license: creativeml-openrail-m
base_model: black-forest-labs/FLUX.1-dev
tags:
- lora
- flux
- ai-toolkit
- character-style
- person
- z-image-turbo
datasets:
- simone-v2
---

# Model Card: Simone-ZIT-v2.2 (Z-Image De-Turbo)

This is a specialized character LoRA optimized for **Z-Image De-Turbo (De-Distilled)**. Like the previous versions, it is trained as a **Style**, meaning the character is embedded into the model's weights without a specific trigger word.

## Training Philosophy
The model focuses on high-fidelity character consistency across various environments while maintaining the speed and quality benefits of the Z-Image Turbo architecture.

**Caption Strategy:**
* **No Trigger Word:** The character's name and defining features (hair/eye color) were omitted from captions to bake them directly into the subject weight.
* **Full Environment Decoupling:** Meticulous tagging of clothing, backgrounds, and lighting ensures the character remains a constant subject while the scene remains flexible.
* **Flexible Generation:** The character manifests automatically when describing a "woman" or "subject."

## Usage & Prompting
Describe a woman and her surroundings. The model will automatically apply the Simone character style.

* **Example Prompt:** `A woman wearing a silk blouse and tailored trousers, sitting in a modern sunlit cafe.`
* **LoRA Strength:** Recommended 0.7 - 1.0 for character accuracy.
* **Compatibility:** Best used with Z-Image Turbo/De-Turbo workflows.

## Technical Specifications

| Parameter | Value |
|---|---|
| **Trigger Word** | None (Trained as Style) |
| **Model Architecture** | Z-Image De-Turbo (De-Distilled) |
| **Rank (Dimension)** | 128 |
| **Batch Size** | 4 (Constant throughout training) |
| **Precision** | float8 |
| **Total Steps** | 4000 |
| **Save Frequency** | Every 200 steps |
| **Training Hardware** | NVIDIA H200 Tensor Core GPU |
| **Training Toolkit** | Ostris - AI Toolkit |

---
*Model card generated for the Simone-ZIT series.*