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Overview
Stable Diffusion Model is a software framework that allows users to implement and simulate diffusion processes in various fields.It is capable of generating a number of high-quality, high-revolution images with the respective prompts that users type in.This README provides an introduction and guidelines for using the Stable Diffusion.
1.Features
① Efficient and scalable algorithms for solving large-scale diffusion problems
②Visualization tools for analyzing and visualizing the simulated results
③Visualization tools for analyzing and visualizing the simulated results
④Visualization tools for analyzing and visualizing the simulated results
2.example You can see the codes in the main archive and easily starting your diffusion trip.For your reference ,if you type in a prompt named 'an orange cat' or 'a corgi',you can obtain the following images.
3.Contributing
If you find any issues or have suggestions for improvements, please submit them through the GitHub issue tracker. Contributions to the Stable Diffusion are welcome. You can fork the repository, make your changes, and submit a pull request.
Please ensure that your contributions adhere to the coding conventions and style guidelines outlined in the repository.
4.License
Stable Diffusion is licensed under the MIT License. You are free to use, modify, and distribute the library in accordance with the terms of this license.
5.Contact
If you have any questions or need further assistance, feel free to reach out to the development team at 3270939387@qq.com. We would be happy to assist you.
1.6 KiB
Overview
Stable Diffusion Model is a software framework that allows users to implement and simulate diffusion processes in various fields.It is capable of generating a number of high-quality, high-revolution images with the respective prompts that users type in.This README provides an introduction and guidelines for using the Stable Diffusion.
1.Features
① Efficient and scalable algorithms for solving large-scale diffusion problems
②Visualization tools for analyzing and visualizing the simulated results
③Visualization tools for analyzing and visualizing the simulated results
④Visualization tools for analyzing and visualizing the simulated results
2.example You can see the codes in the main archive and easily starting your diffusion trip.For your reference ,if you type in a prompt named 'an orange cat' or 'a corgi',you can obtain the following images.
3.Contributing
If you find any issues or have suggestions for improvements, please submit them through the GitHub issue tracker. Contributions to the Stable Diffusion are welcome. You can fork the repository, make your changes, and submit a pull request.
Please ensure that your contributions adhere to the coding conventions and style guidelines outlined in the repository.
4.License
Stable Diffusion is licensed under the MIT License. You are free to use, modify, and distribute the library in accordance with the terms of this license.
5.Contact
If you have any questions or need further assistance, feel free to reach out to the development team at 3270939387@qq.com. We would be happy to assist you.