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How to Remove the Safety Filter in Stable Diffusion: A Step-by-Step Guide

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This tutorial provides step-by-step instructions for disabling the safety filter in Stable Diffusion, specifically for users of the official tools/scripts from the Stable-Diffusion repository. It includes code modifications and cautions about potential changes in line numbers with different versions.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Clear, concise instructions for modifying code
    • 2
      Practical advice for managing safety checks
    • 3
      Updates regarding the relevance of the tutorial

  • • unique insights

    • 1
      Emphasizes the importance of backing up files before making changes
    • 2
      Suggests commenting out lines instead of deleting for easier future modifications

  • • practical applications

    • The article provides direct, actionable steps for users looking to customize their Stable Diffusion experience, particularly in removing safety filters.

  • • key topics

    • 1
      Disabling safety filters in Stable Diffusion
    • 2
      Modifying Python scripts
    • 3
      Best practices for code modification

  • • key insights

    • 1
      Quick and straightforward tutorial for a specific task
    • 2
      Focus on practical application and user customization
    • 3
      Acknowledgment of evolving tools and methods in AI

  • • learning outcomes

    • 1
      Understand how to modify Python scripts for Stable Diffusion
    • 2
      Learn best practices for managing code changes
    • 3
      Gain insights into the implications of disabling safety features
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“ Introduction

In this guide, we will explore how to remove the safety filter from Stable Diffusion's txt2img.py script. Although recent third-party tools have made this process easier, understanding the underlying steps can be beneficial for users who prefer the official tools.

“ Understanding the Safety Filter

The safety filter in Stable Diffusion is designed to prevent the generation of inappropriate content. However, some users may wish to disable this feature for various reasons, including artistic freedom and experimentation.

“ Preparing to Modify txt2img.py

Before making any changes, it's crucial to back up your original txt2img.py file. Navigate to the 'scripts' folder within your Stable Diffusion installation and create a copy of the file to ensure you can revert to the original if needed.

“ Disabling Safety Checks

To disable the safety checks, open txt2img.py and locate the line that reads: 'x_checked_image, has_nsfw_concept = check_safety(x_samples_ddim)'. Replace this line with 'x_checked_image = x_samples_ddim', ensuring that the indentation remains consistent.

“ Optional: Stopping Safety Models from Loading

For users looking to optimize their VRAM usage, you can further enhance performance by preventing safety models from loading. In txt2img.py, find and remove the following lines: 'safety_model_id = "CompVis/stable-diffusion-safety-checker"', 'safety_feature_extractor = AutoFeatureExtractor.from_pretrained(safety_model_id)', and 'safety_checker = StableDiffusionSafetyChecker.from_pretrained(safety_model_id)'.

“ Conclusion

While the steps outlined above provide a method to remove the safety filter from Stable Diffusion, it's important to note that many users may find third-party tools more convenient. Always ensure that your modifications comply with ethical guidelines and usage policies.

 Original link: https://www.reddit.com/r/StableDiffusion/comments/wv2nw0/tutorial_how_to_remove_the_safety_filter_in_5/

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