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Balledk/
Simone-ZIT-v2.2

Name: Simone-ZIT-v2.2
Availability: InStock

black-forest-labs/FLUX.1-dev

adapter

creativeml-openrail-m

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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.

Balledk/Simone-ZIT-v2.2

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

Training Philosophy

Usage & Prompting

Technical Specifications

Balledk/
Simone-ZIT-v2.2