Introduction to the Diffusion Demo
The Diffusion Demo is an interactive platform designed to facilitate the exploration of Stable Diffusion models. This tool allows users to engage with a series of experiments that illustrate how the algorithm operates, making it an invaluable resource for educators, students, and AI enthusiasts.
Key Features:
- Interactive Experiments: Users can manipulate parameters and observe the effects in real-time, enhancing understanding of diffusion processes.
- Educational Resource: Ideal for teaching concepts related to AI and machine learning, particularly in K-12 education settings.
- Companion Video: A supplementary video titled "Cats in Latent Space" provides additional context and visual representation of the concepts discussed.
Use Cases:
- Classroom Learning: Teachers can integrate this demo into their curriculum to provide hands-on experience with AI concepts.
- Self-Paced Learning: Students can explore at their own pace, making it suitable for various learning styles.
- Research and Development: Researchers can utilize the demo to visualize and test hypotheses related to diffusion models.

