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README.md
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inference: true
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inference: true
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---
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# README for Text-to-Image Model Fine-Tuned on Stable Diffusion 1.0XL for NFT-Genesis
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## Overview
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This project involves a text-to-image model fine-tuned on the Stable Diffusion 1.0XL architecture, specifically tailored for the NFT-Genesis project. The model is designed to generate high-quality, unique images based on textual descriptions, making it especially suited for creating digital art and Non-Fungible Tokens (NFTs).
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## Features
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- **Fine-Tuning on Stable Diffusion 1.0XL**: Leverages the advanced capabilities of the Stable Diffusion model for high-quality image generation.
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- **NFT-Genesis Specialization**: Optimized for creating images that are ideal for use in the NFT space, emphasizing uniqueness and artistic quality.
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- **Textual Description Input**: Generates images based on user-provided text descriptions, offering a high degree of creative control.
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- **High-Resolution Output**: Capable of generating images in high resolutions suitable for digital art applications.
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## Requirements
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- Python 3.6 or later
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- PyTorch 1.7.1 or later
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- PIL (Python Imaging Library)
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- Other dependencies listed in `requirements.txt`
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## Installation
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1. Clone the repository:
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```bash
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git clone [repository URL]
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cd [repository name]
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```
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2. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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## Usage
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To generate an image:
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```python
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from model import NFTGenesisModel
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model = NFTGenesisModel()
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description = "Your textual description here"
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image = model.generate(description)
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image.save("output.jpg")
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```
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## Configuration
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- **Model Parameters**: Adjust model parameters in the `config.py` file to tweak performance and output quality.
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- **Custom Datasets**: To further fine-tune the model, you can use custom datasets by following the instructions in `dataset/README.md`.
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## Contributing
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Contributions to the project are welcome. Please follow the guidelines in `CONTRIBUTING.md` for submitting pull requests or reporting issues.
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## License
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This project is licensed under [specify license type], as found in the LICENSE file.
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## Acknowledgements
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- Original Stable Diffusion 1.0XL Team for the base model architecture.
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- Contributors and community members who have offered valuable insights and improvements.
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## Disclaimer
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This model is intended for creative and artistic purposes. Users are responsible for the ethical use of the technology and ensuring that generated content respects copyright and other legal considerations.
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