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README.md
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***
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[](https://huggingface.co/spaces/TheStinger/Ilaria_Upscaler) [](https://huggingface.co/spaces/TheStinger/Ilaria_Upscaler?duplicate=true) [](https://github.com/TheStingerX/Ilaria-Upscaler) [](https://discord.gg/aihub) [](https://ko-fi.com/ilariaowo)
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***
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<p align="center">
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<h1>Ilaria Upscaler 💖</h1>
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</p>
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🎉 Welcome to Ilaria Upscaler! 🎉
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This project leverages various libraries and modules to create a Graphical User Interface (GUI) for upscaling images.
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It's primarily designed for use with HuggingFace Spaces. 🤗
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Ilaria RVC is part of the Ilaria AI Suite wich includes various easy and powerful tools. 💖
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## 📦 Installation 📦
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To use this project, clone the original Space on Hugging Face.
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Make sure you restart it time to time to keep up with the new updates.
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## 🖥️ Usage 🖥️
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Once the dependencies are installed automatically, Hugging Face will use app.py to start the user interface.
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From there, you can utilize the various features of the project.
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## 🌟 Features 🌟
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Ilaria RVC offers a range of features, including:
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- 🖼️ **Image Upscaling and Restoration**:
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Ilaria Upscaler uses the RealESRGANer class from the realesrgan module to upscale and restore images.
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It supports multiple models, each with different scales and architectures, providing flexibility in the upscaling process.
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- 🎛️ **Adjustable Parameters**:
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The realesrgan function allows users to adjust various parameters such as the model name, denoise strength, face enhancement, and output scale.
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This provides a high level of customization to fit different use cases.
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- 🖥️ **User-Friendly Web Interface**:
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Ilaria Upscaler The code uses the gradio module to create an intuitive web interface.
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Users can easily upload an image, and the application will return the upscaled and restored image.
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- 📂 **Efficient File Handling**:
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The code uses the os and basicsr.utils.download_util modules for efficient file handling operations.
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It checks if the model file exists in the local directory, and if not, it downloads the file from the specified URL.
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- 👩 **Face Enhancement Option**:
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If the face_enhance parameter is set to True, the code uses the GFPGANer class from the gfpgan module to enhance faces in the image.
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This is particularly useful for images with faces that need to be upscaled and enhanced separately from the rest of the image.
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## 🙏 Credits 🙏
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- **Squishy** - For helping me with the ideas
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## 🤝 Contributing 🤝
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Interested in contributing to this project? Ilaria is always looking for collaborators.
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Feel free to open a pull request on Hugging Face.
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## 📄 License 📄
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This project is released under the `INCU` license.
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For more details, please check the license file.
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For further questions feel free to contact Ilaria.
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