CyberAgentAILab/layout-dm
[CVPR 2023] LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
This project helps graphic designers and marketers automatically generate visually appealing document layouts. You provide content elements like text boxes, images, and buttons, and it outputs a variety of potential layouts, helping you quickly explore design options without manually arranging every component. It's ideal for anyone creating marketing materials, presentations, or digital interfaces.
294 stars. No commits in the last 6 months.
Use this if you need to rapidly prototype or generate diverse layout options for documents or user interfaces and want a system to intelligently arrange elements for you.
Not ideal if you require precise, pixel-perfect control over every design element's placement and prefer manual design tools over automated generation.
Stars
294
Forks
33
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 24, 2023
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/CyberAgentAILab/layout-dm"
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