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Official PyTorch implementation for the paper: "VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models"

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Name		Name	Last commit message	Last commit date
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assets		assets
loras		loras
modules		modules
outs		outs
preds/蔷=rose		preds/蔷=rose
.gitignore		.gitignore
ConComGen.py		ConComGen.py
README.md		README.md
SemTypo.py		SemTypo.py

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VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models

Kailai Feng, Yabo Zhang, Haodong Yu, Zhilong Ji, Jinfeng Bai, Hongzhi Zhang^*, Wangmeng Zuo

This repository is the official PyTorch implementation of "VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models".

✨ News/TODO

Source code of Controllable Compositional Generation.
Source code of Semantic Typography
Source code of Regional Decomposition
More results

📖 Overview

An overview of the pipeline.

⚙️ Run inference demo

Run the following command to get subject image and surrounding image.

Run the following command to pre-process subject image and surrounding image.

python SemTypo.py --resolution 1024

Run the following command to get final results.

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Official PyTorch implementation for the paper: "VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models"

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