Downloads · 30 days
0
Sunbread/isekai-rolename-vae
isekai-rolename-vae is a machine learning model from Sunbread. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This project is designed to generate character names for isekai-style light novels using a GRU-Seq2Seq-VAE model.
Downloads · 30 days
0
Access
Public
Updated Sep 7, 2024
Repo size
7.2 MB
Likes
0
Public
Click a slice to open those files.
.pt2.1 MB · 91%
From the Hugging Face model README
This project is designed to generate character names for isekai-style light novels using a GRU-Seq2Seq-VAE model.
The isekai-rolename-vae project leverages neural networks to assist writers in crafting unique and fitting character names for isekai light novels. The model produces names that are easy to pronounce and align with genre conventions, without carrying specific meanings.
To begin using isekai-rolename-vae, follow these steps:
git clone https://huggingface.co/Sunbread/isekai-rolename-vae
To generate character names, execute the inference.py script from the command line. The script will output 16 names at a time:
cd isekai-rolename-vae
python ./inference.py
This command will load the model and generate 16 new character names for your isekai light novel.
This project draws inspiration from the creative challenge of naming characters in isekai light novels, as explored in the article "起名废即使在写异世界转生轻小说时也要从容生存——用GRU-Seq2Seq-VAE生成异世界轻小说人物名吧!". The innovative use of neural networks for generating character names was a key influence in developing this project.
This project is licensed under the MIT License. Feel free to use and modify the code for your own projects.
Happy writing, and may your isekai characters come to life with distinctive names from this tool!