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Welcome to the SDXL Training Framework Wiki

This wiki serves as the central knowledge base for our research-focused SDXL training framework. Here you'll find comprehensive documentation about the underlying concepts, methodologies, and ongoing research developments.

Getting Started

• Development Setup - Environment configuration and project setup
• Architecture Overview - System design and core components
• Training Pipeline - Training methodology and process flow
• Quality Metrics - Current assessment approach and goals

Research Areas

Core Concepts (In Development)

• Understanding Flow Matching - Deep dive into flow matching principles
• NovelAI V3 Methods - Theory and implementation details
• Memory Optimization - Hardware accessibility improvements

Implementation Details

• Research Guidelines - Our framework's philosophy and objectives
• Interactive Development - Developer-driven exploration approach

Planned Documentation

Training Resources

• Dataset Preparation - Coming Soon
• Hyperparameter Optimization - Coming Soon
• Model Architecture Details - Coming Soon
• Pipeline Customization - Coming Soon

Development Resources

• Code Style Guide - Coming Soon
• Testing Protocols - Coming Soon
• Debugging Procedures - Coming Soon
• Performance Profiling - Coming Soon

Community Engagement

We welcome contributions to expand our documentation. Priority areas include:

• Training methodology details
• Hardware optimization techniques
• Quality assessment methods
• Development workflows

Note: Our documentation is actively expanding. Check the Research Guidelines to understand our direction and to get involved.

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This wiki is actively maintained by the research community. All contributions should align with our established [Research Guidelines]].