leonas sketches
  • Leona: An Open-Source AI Sketch Agent
    • Introduction
  • Getting Started
    • Installation Guide
    • Using Leona's Sketches
    • System Requirements
    • Additional Dependencies
  • Framework Breakdown
    • PNP-Diffusion Foundation
    • Architecture Overview
    • Key Features
  • Advanced Usage
    • Training New Models
    • Custom Datasets
    • API Integration
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  1. Framework Breakdown

Architecture Overview

PreviousPNP-Diffusion FoundationNextKey Features

Last updated 2 months ago

The architecture of Leona's Sketches is designed to maximize flexibility and performance.

Core Components:

  1. Input Parsing: Converts text prompts or sketches into high-dimensional embeddings using pre-trained encoders. This stage captures the essence of the input and sets the groundwork for sketch generation.

  2. Diffusion Process: Utilizes iterative refinement steps to transform random noise into meaningful artistic sketches. Self-attention layers guide the process to focus on critical regions of the input.

  3. Post-Processing: Applies user-specified enhancements such as style modifiers, denoising, and sharpening to produce a polished final output.

Scalability:

The architecture supports both single-image processing and batch operations, making it suitable for individual creators and production-level workflows.