Divisor: Interactive diffusion framework
How Stable Diffusion works
Understand in a simple way how Stable Diffusion transforms a few words into a spectacular image.
DiffusionGemma as Jev: Open-Source vLLM Patch (2026) | explainx.ai Blog
A vLLM contributor built an open-source Jev clone using DiffusionGemma — roughly matching TypeSafe's proprietary model on accuracy.
Complete guide to samplers in Stable Diffusion
Dive into the world of Stable Diffusion samplers and unlock the potential of image generation.
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image synthesis, video generation, and molecule...
Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond
The physics behind diffusion models
What are Diffusion Models? | IBM
Diffusion models are generative models that “diffuse” training data with random noise, then learn to reverse the diffusion process to output new images.
Observing Information Diffusion Structure in Japanese Bluesky: A 48-Hour Path-Tracking Experiment - Nightflight
mlx-examples/stable_diffusion at main · ml-explore/mlx-examples
Examples in the MLX framework. Contribute to ml-explore/mlx-examples development by creating an account on GitHub.
Continuous diffusion language models
Fully discrete methods dominated for a few years, but language models based on continuous diffusion are making a comeback.
Continuous diffusion language models
Fully discrete methods dominated for a few years, but language models based on continuous diffusion are making a comeback.
flo-bit/stylized-dioramas
Six interactive Three.js dioramas — one collection of small worlds