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Welcome to the sd-optim Wiki!

This wiki provides detailed documentation, guides, and explanations for using sd-optim. The goal is to centralize information that was previously scattered or included in configuration file comments.

Overview

sd-optim is an opinionated tool for optimizing model merges using various optimization methods/libraries like Optuna or BayesianOptimization with the help of the powerful sd-mecha merging library.

Navigation

• 01. Getting Started: Basic setup and installation.
• 02. Configuration: Detailed explanation of config.yaml and optimization_guide.yaml.
• 03. Payloads: How to configure prompts and generation settings.
• 05. Optimization Strategies: Guidance on choosing optimizer settings, samplers, and acquisition functions.
• 04. Scoring: Information about available image scorers and their configuration.
• 06. Merge Methods: Documentation for supported sd-mecha merge methods and custom methods.
• 08. Advanced Usage: Tips for advanced scenarios like recipe optimization.