LoRA Dataset Automaker
Welcome to the Dataset Automaker Git repository housing an innovative and reliable Jupyter Notebook designed to facilitate the creation of datasets for training Stable Diffusion LoRAs.
🔥 Key Features
Key Features:
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Automated Anime Screencap Collection: Easily search and download anime screencaps from fancaps.net.
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Advanced Data Refinement: Utilize the FiftyOne app and clip-vit-torch model to meticulously filter and curate your dataset for optimal quality.
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Precise Face Detection: Leverage face detection models for accurate anime face identification (zymk9/yolov5_anime, ultralytics/yolov5).
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Character Similarity Analysis: Calculate pairwise similarity distances between original and example faces, enabling targeted dataset curation with user-defined thresholds.
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User-Guided Curation: Utilize the intuitive FiftyOne app for manual dataset refinement, ensuring precision.
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Intelligent Tagging: Effortlessly tag results using code by kohya-colab and sd-scripts, enhancing organization and analysis.
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Seamless Export: Conveniently zip and download your curated dataset.
🛠️ Getting Started
Local:
- Clone or download the repository to your local machine.
- Launch Jupyter Notebook and open the Dataset_Automaker.ipynb notebook.
- Follow the comprehensive guide within the notebook to harness the power of automated data generation.
Google colab:
- Open Dataset_Automaker.ipynb in Google colab.
- Follow the guide in the notebook
📧 Contact me
Civitai: Maximax67
Telegram: @Maximax67
Github: Maximax67
Gmail: maximax6767@gmail.com