mushroomfleet/WAN-A14B-TH0RR4-woman-v0

TH0RR4-woman

A specialized LoRA model for generating 90's anime secret operative sci-fi tribute style imagery, trained on WAN 14B 2.1 and optimized for inference with WAN 14B 2.2 (A14B) low noise.

📁 Repository Structure

├── TH0RR4-woman.safetensors
├── captions/
│   ├── [training caption text files]
├── ENH/
│   ├── [prompt enhancer system prompts]
│   └── [user alteration templates]
├── images/
│   ├── [sample images from ollama workflows]
└── workflows/
    ├── [ComfyUI workflow files]

🎯 LoRA Model

🌟 TH0RR4-woman.safetensors (Primary Model)

• Style focus: 90's anime secret operative aesthetic
• Character specialization: Female operative characters in retro-futuristic sci-fi settings
• Training base: WAN 14B 2.1
• Optimized for: WAN 14B 2.2 (A14B) low noise inference
• Best for: Nostalgic anime-style secret agents, cybernetic operatives, and retro sci-fi heroines

📝 Additional Resources

🖼️ Images Folder

Contains sample images generated using dedicated ollama-enabled workflows, showcasing the model's capabilities and style range for the TH0RR4-woman aesthetic.

🔄 Workflows Folder

Includes ComfyUI workflow files specifically designed for optimal TH0RR4-woman generation, featuring:

• Optimized node configurations
• Recommended settings for 90's anime style
• Secret operative character generation workflows

📋 Captions Folder

Contains the training caption data used to develop the model, providing insight into the style descriptors and character elements that define the TH0RR4-woman aesthetic.

🚀 ENH Folder (Enhancement Prompts)

Houses system prompt .md files designed to transform basic prompts into style-aligned descriptions optimized for 90's anime secret operative generation.

Features:

• Template system: User-alterable templates for custom prompt enhancement
• Style optimization: Prompts specifically tuned for retro anime operative aesthetics
• Workflow integration: Originally designed for ollama-enabled generation workflows
• Versatile usage: Compatible with chat interfaces and local LLM implementations

Implementation:

• Use each .md file as a complete system prompt
• Modify templates to suit specific character or scenario needs
• Leverage for consistent 90's anime secret operative styling

🔧 Technical Specifications

• Training Model: WAN 14B 2.1
• Inference Model: WAN 14B 2.2 (A14B) low noise
• Style Focus: 90's anime secret operative sci-fi tribute
• Character Emphasis: Female operatives and cybernetic agents
• Aesthetic: Retro-futuristic anime styling with secret agent themes

🚀 Getting Started

1. Download TH0RR4-woman.safetensors
2. Load with WAN 14B 2.2 (A14B) in low noise mode
3. Explore sample workflows in the /workflows folder
4. Use ENH system prompts for style-consistent generation
5. Reference /images folder for style inspiration and capabilities
6. Customize templates in /ENH folder for specific operative scenarios

📋 Best Practices

• Start with workflows: Use provided ComfyUI workflows for optimal results
• Leverage ENH prompts: Utilize enhancement templates for consistent 90's anime styling
• Low noise inference: Always use WAN 14B 2.2 (A14B) in low noise mode
• Reference samples: Check /images folder for style guidance and capability examples
• Template customization: Modify ENH templates to create unique operative character variations

🎨 Style Characteristics

• Era: 90's anime aesthetic with retro-futuristic elements
• Theme: Secret operative, cybernetic agents, sci-fi espionage
• Character focus: Strong female protagonists in covert operations
• Visual style: Classic anime proportions with sci-fi technology integration
• Atmosphere: Nostalgic yet futuristic, mysterious and action-oriented

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TH0RR4-woman - Channeling the iconic 90's anime secret operative aesthetic for next-generation image synthesis.