[ICME2023, oral] CCLAP: Controllable Chinese Landscape Painting generation
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Updated
Jun 26, 2024 - Python
[ICME2023, oral] CCLAP: Controllable Chinese Landscape Painting generation
A style transfer application that is able to apply a new style to an image while still preserving its original content.
This project leverages the SDXL-Turbo model for versatile image processing tasks. Offering a simple command-line interface, it facilitates both Text-to-image and Image-to-image operations. Users select an operation, input prompts, and the script dynamically generates and executes code snippets.
CUT Implementation for Face Extraction and Portrait Generation
A simple cellular automata based snowflake generator
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