SONIC CYBERFEMINISM NETWERK

acerat quis semper eu, pulvinar in est. NamCONSTANTLY EVOLVING INSTRUMENTS OF DISRUPTION 

ZERO EXCUSES :

Beginner's Guide for Creating Ethical AI Artwork with Stable Diffusion


Open Source Setup (Most Ethical Approach)

Step 1: Choose Your Platform


1. Automatic1111 Web UI (Most Recommended)

  - Fully open source
  - Local installation (your data stays private)
  - Complete control over models and settings
  - Strong community support
   - No data collection


2. ComfyUI

  - Node-based interface
  - Transparent workflow
  - Full control over process
  - Great for learning the technical aspects

3. InvokeAI

  - Open source
  - Clear ethical guidelines
  - Good for beginners
   - Privacy-focused


Why is Local Installation is Best?


- Complete privacy
- No data collection
- Full control over models
- No usage restrictions
- One-time setup
- Better understanding of the process
- Community-driven development

Understanding AI Art Ethics


Core Principles

- Respect copyright and artist rights
- Be transparent about AI-generated work
- Consider impact on art community
- Properly credit and acknowledge sources
- Be mindful of potential biases
- Support open source development

Getting Started


Do

- Credit AI tools used
- READ TERMS AND CONDITIONS
- READ ABOUT A TOOL’S ETHICS
- Be transparent about AI generation
- Respect content warnings
- Use for personal/allowed commercial use
- Create original concepts

Don't

- Don't copy specific artists' styles without permission
- Don't generate harmful or inappropriate content
- Don't misrepresent AI art as human-made
- Don't infringe on copyrighted characters
- Don't generate real people without consent



Community & Learning Resources

- r/StableDiffusion subreddit
- Stable Diffusion Discord
- AI art communities focusing on ethical practices

Sharing Your Work

- Always label as AI-generated
- Share your prompts if comfortable
- Engage with community feedback
- Learn from others' techniques

Remember:

- Focus on originality
- Be patient while learning
- Stay ethical in your approach
- Credit appropriately
- Keep improving your skills
- Support open source development
- Respect artist rights




COMPUTER SCIENCE 101 

MYTH: You need a CS degree to get started with ai, ml, and software engineering.

REALITY: You need the fucking internet. If you’re chronically online you kinda got ZERO excuses babes. 

7 FREE COURSES



1. MIT - Distributed Systems
- Purpose: Learn distributed systems
- Level: Intermediate/Advanced
- Link: MIT DISTRITUBUTED SYSTEMS


2. UC San Diego - Data Structures and Algorithms
- Purpose: Learn data structures & algorithms fundamentals
- Level: Foundational
- Link: FREE DATA STRUCTURES ALGOS


3. Stanford - Computer Science 101
- Purpose: Learn computer science basics
- Level: Beginner
- Link: STANFORD CS 101



4. Systematic Debugging
- Purpose: Learn how to debug code systematically
- Level: Intermediate
- Link: DEBUG



5. Princeton University - Computer Architecture
- Purpose: Learn computer science fundamentals
- Level: Intermediate

- Link: PRINCETON COMPUTER ARCHITECTURE

6. Introduction to the Theory of Computation
- Purpose: Learn computer science 101
- Level: Beginner/Intermediate
- Link: MIT THEORY OF COMPUTATION


7. Stanford - Introduction to Databases
- Purpose: Learn database fundamentals
- Level: Beginner/Intermediate
- Link: STANFORD INTRO TO DATABASES


Study Order Recommendation
1. Stanford CS101 (get basics first)
2. Data Structures and Algorithms (fundamental knowledge)
3. Systematic Debugging (essential skill)
4. Databases (most applications need this)
5. Computer Architecture (understand 

how computers work)
6. Theory of Computation (deeper understanding)
7. Distributed Systems (advanced concepts)



RECCS AND TIPS:

- Take courses in THIS EXACT order
- Practice coding while learning
- Join programming communities
- MAKE FRIENDS W/ COOL CS PPL 
   W SHARED VALUES 


- Build projects using learned concepts
- Don't rush - focus on understanding



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