Welcome to the world of the Stable Diffusion Pickle Scanner GUI! This user-friendly guide will take you through the steps necessary to effectively make use of this powerful tool. In a nutshell, this GUI facilitates the detection of malicious models while maintaining simplicity and portability.
Table of Contents
About The Project
The Stable Diffusion Pickle Scanner GUI is designed to provide a user-friendly interface for the Picklescan project. This GUI enhances the accessibility of the scanning process, allowing users to effectively identify potentially harmful models with ease.
Usage Examples
Here are some practical examples to get you started on using the Stable Diffusion Pickle Scanner GUI!
1. Scan a Malicious Model on Hugging Face
nitrosocke/Nitro-Diffusion
2. Scan a Malicious Model from a URL
https://huggingface.co/PublicPrompts/Synthwave/resolvemainsnthwve%20style.ckpt
3. Scan a Malicious Model from File or Directory
stable-diffusion-webui/models/Stable-diffusion
4. Test With a Malicious Files Test Directory
Stable-Diffusion-Pickle-Scanner-GUI/picklescan/tests/data
Roadmap
Future iterations of this project aim to include:
- [ ] Add model downloader
- [ ] Add model previews (currently under review)
For a comprehensive list of proposed features and known issues, feel free to check the open issues.
License
This project is distributed under the MIT License. More detailed information can be found in the LICENSE.txt file.
Contact
For any inquiries, you can reach out to:
@The_diSty
Email: distty@gmail.com
Project Link: GitHub Repository
Acknowledgments
A huge thanks to the following resources that have been invaluable:
Troubleshooting Tips
If you encounter any issues while using the Stable Diffusion Pickle Scanner GUI, here are a few solutions to consider:
- Ensure you have the most recent version of the GUI downloaded from the releases page.
- Check that your internet connection is stable if scanning models from URLs.
- If you’re experiencing crashes or slow performance, try running the application without other resource-intensive programs.
- For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.