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README.md

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+## Who We Are
+
+We are a team focused on automating the training process of stable diffusion models (LoRA, Lycoris, Pivotal Tuning, etc.). 
+
+Our goal is to automate the entire pipeline, including data acquisition, data filtering, training, step selection, and platform deployment, **saving manpower and optimizing model training quality to the maximum**.
+
+Our team comprises a Ph.D. in Software Engineering, a Ph.D. candidate in Computer Vision, professionals in art and design, and several AI waifu enthusiasts.
+
+We are a purely non-profit team, and all our work is completely open, without any form of charge.
+
+## Our Achievements
+
+We have conducted multiple iterations on Pivotal Tuning training technology (training with a LoRA and one or more pt files). The progress is documented in the following technical blogs:
+* [Overview of v1.4 Training Automation](https://civitai.com/articles/2064/2023-8-31-release-of-v14-training-automation-process)
+* [Result Analysis of v1.4 Training Automation](https://civitai.com/articles/2479/2023-10-7-survey-of-v14-training-automation-and-planning-of-version-v15)
+* v1.5 Automation is coming... :)
+
+Models we have trained or hosted can be found at:
+* [CyberHarem - Huggingface](https://huggingface.co/CyberHarem), including datasets used for training
+* [narugo1992 - Civitai](https://civitai.com/user/narugo1992), where only a few models are selected for publication to avoid offense to those who insist on manually training models, lol
+
+Quantitative analysis from the blog "Result Analysis of v1.4 Training Automation" shows that **v1.4 training automation has achieved a quite impressive level in both quality and quantity**, but there's still room for further improvement. This is an ongoing effort for v1.5 and future versions.
+
+## Our Technical Outputs
+
+### dghs-imgutils
+
+Project Link: https://github.com/deepghs/imgutils
+
+Project Documentation: https://deepghs.github.io/imgutils/main/index.html
+
+**This is a library for various common operations on anime images**, including but not limited to:
+
+* Tachie (Difference) Detection and Clustering
+* Contrastive Character Image Pretraining
+* Object Detection
+* Edge Detection / Lineart Generation
+* Monochrome Image Detection
+* Image Rating
+* Truncated Image Check
+* Image Tagging
+* Character Extraction
+
+Check out the documentation for more features.
+
+### Waifuc
+
+Project Link: https://github.com/deepghs/waifuc
+
+A **data pipeline framework based on dghs-imgutils**, supporting:
+* Fast data retrieval (local disk, danbooru, pixiv, zerochan, etc.)
+* Swift data filtering (comic exclusion, monochrome image exclusion, multi-character image exclusion, irrelevant character exclusion, etc.)
+* Rapid data saving (local, cloud; with metadata, saved in stable diffusion dataset format, etc.)
+* Quick building of processing pipelines (connecting multiple aforementioned stages)
+
+*Note: This tool is currently a work in progress, although it's in use. It hasn't been released on PyPI and lacks comprehensive documentation. These aspects will be addressed soon.*
+
+### Model Zoo
+
+We manage our models and datasets on Huggingface: https://huggingface.co/deepghs
+
+### Anything More?
+
+In fact, our plans go beyond what's mentioned here. Other tools are continuously improving and will soon be released. Stay tuned!
+