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MLSA KIIT Hacktoberfest: Stable Diffusion Fine-tuning Project Code of Conduct

Our Pledge

As members, contributors, and leaders of the MLSA KIIT community, we pledge to make participation in our Stable Diffusion fine-tuning project a positive and enriching experience for everyone. We aim to create an environment that fosters learning, innovation, and collaboration in the field of AI and machine learning.

Our Standards

Behaviors that contribute to a positive environment for our community include:

  • Sharing knowledge and assisting others in understanding Stable Diffusion and LoRA techniques
  • Respecting diverse approaches to model fine-tuning and image generation
  • Providing constructive feedback on others' fine-tuning results and generated images
  • Being open to learning from others' implementations and ideas
  • Focusing on the technical aspects of the project and maintaining a professional atmosphere

Examples of unacceptable behavior include:

  • Using inappropriate language or imagery in code, documentation, or project communications
  • Trolling, insulting comments, or personal attacks, particularly regarding fine-tuning choices or results
  • Sharing or using datasets or generating images that could be considered harmful or unethical
  • Publishing others' private information, such as contact details or private model weights, without permission
  • Any conduct which could reasonably be considered inappropriate in an academic or professional setting

Project-Specific Guidelines

  1. Dataset Usage: Ensure you have the right to use and share any datasets used for fine-tuning.
  2. Image Generation: Be mindful of the content you generate. Avoid creating or sharing inappropriate or offensive images.
  3. Model Sharing: Only share LoRA weights, not entire fine-tuned models, to respect project guidelines.
  4. Collaboration: Be open to collaboration and knowledge sharing about Stable Diffusion and LoRA techniques.

Scope

This Code of Conduct applies to all spaces related to the MLSA KIIT Hacktoberfest Stable Diffusion fine-tuning project, including GitHub repositories, discussion forums, and any project-related events.

Enforcement

Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the MLSA KIIT team responsible for enforcement at MLSA KIIT Discord. All complaints will be reviewed and investigated promptly and fairly.

Enforcement Guidelines

MLSA KIIT community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct:

  1. Correction: A private, written warning, providing clarity around the nature of the violation and an explanation of why the behavior was inappropriate.

  2. Warning: A warning with consequences for continued behavior. No interaction with the people involved for a specified period of time.

  3. Temporary Ban: A temporary ban from any sort of interaction or public communication with the community for a specified period of time.

  4. Permanent Ban: A permanent ban from any sort of public interaction within the project community.

Attribution

This Code of Conduct is adapted from the Contributor Covenant, version 2.0, available at https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.

By participating in this project, you agree to abide by this Code of Conduct and the policies of MLSA KIIT.