Open Source Diffusion Explorer: Interactive Visualizations for Generative Models
alec_helbling · x · 2026-08-10
The developer has open-sourced the Diffusion Explorer project (1.2k Stars on GitHub), an interactive educational tool designed to communicate the geometric intuitions behind diffusion and flow-based generative models.
Key features include:
- Implements various training objectives like Flow Matching and Denoising Score Matching.
- Shows the dynamics of generated samples over time for pretrained models.
- Allows users to observe how generated samples evolve through training.
- Enables training on custom hand-drawn distributions.
Additionally, the project includes an interactive explainer for Rectified Flow, a technique for straightening the trajectories learned by flow matching models.
Related event: Exploring Diffusion Models: Diffusion Explorer Goes Open Source(2 posts)→
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