DeepDanbooru
danbooru-tags
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DeepDanbooru | danbooru-tags | |
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8 | 1 | |
2,485 | 5 | |
- | - | |
0.0 | 4.1 | |
6 months ago | 11 months ago | |
Python | Jupyter Notebook | |
MIT License | MIT License |
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DeepDanbooru
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Discussion Thread
Okay, it turns out that someone has trained an image classifier on danbooru as a dataset.
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LAION publishes open source version of Google CoCa models ( SOTA on image captioning task )
First of all - DeepDanbooru is the exclusive project of KichangKim, who aimed to train models based on (variants of) the ResNet architecture to output Danbooru tags.
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Can i get some help installing deep danbooru?
> pip install -r requirements.txt Like what does this mean, where do i put the files i got from https://github.com/KichangKim/DeepDanbooru ? The whole process is confusing me
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i tried to install "Animator script" and "DeepDanbooru" into AUTOMATIC1111 did not work?
For: https://github.com/KichangKim/DeepDanbooru I see the "Put your deepbooru release project folder here.txt" file so I "git clone" it into this folder, moved it up and so on but the button did not show and in the console are no errors. Also I restarted the UI after each moving of the project.
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DeepDanbooru interrogator implemented in Automatic1111
if not is_installed("deepdanbooru") and deepdanbooru: run_pip("install git+https://github.com/KichangKim/DeepDanbooru.git@edf73df4cdaeea2cf00e9ac08bd8a9026b7a7b26#egg=deepdanbooru[tensorflow] tensorflow==2.10.0 tensorflow-io==0.27.0", "deepdanbooru")
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[Hobby Scuffles] Week of August 29, 2022 (Poll)
i think you could make an argument that training an art-generator model falls afoul of the "market for the original work" prong of fair use in a pretty severe way. but something like DeepDanbooru where the output is not the image but a descriptor of it would be a much easier sell as fair use.
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“Smart” or “AI” assisted Media management system that detects and auto-tags files?
DeepDanbooru is suprisingly good for tagging photos and drawings.
danbooru-tags
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An Analysis Of Danbooru Tags and Metadata
Most of the time was spent writing code to transform the raw data so that it could be easily processed in Python. The source code for this project is in this repository.
What are some alternatives?
szurubooru - Image board engine, Danbooru-style.
imgbrd-grabber - Very customizable imageboard/booru downloader with powerful filenaming features.
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
datadoubleconfirm - Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
stable-diffusion-webui - Stable Diffusion web UI
scCODA - A Bayesian model for compositional single-cell data analysis
SW-CV-ModelZoo - Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Keras - Deep Learning for humans
jina - ☁️ Build multimodal AI applications with cloud-native stack