Architecture Overview
The architecture of Leona's Sketches is designed to maximize flexibility and performance.
Core Components:
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.
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.
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.
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