Diffusion Maps: A manifold learning technique that uses the diffusion process on a graph to capture the geometric structure of data, allowing for dimensionality reduction and data visualization.

This is a React-based curve editor GUI for prompt interpolation animations made with Stable Diffusion! Since that sentence is a bit of a mouthful, how about I just show you how it works? Users ...

We put together a series of five prompts designed to showcase what Flux and Stable Diffusion can do, along with a few hurdles to trip them up and uncover their weaknesses. The prompts include a ...

Aditya Prakash, Chao Zhang. Autoregressive diffusion models for graph generation corrupt the original data by absorbing node by node, and then generate the graph by sampling the nodes in reverse order ...

Graph Convolutional Network ... Diffusion Controlled,Diffusion Model,Ego Network,Embedding Dimension,End Nodes,Energy Distribution,Energy Flux, Zhongyuan Ruan received the BSc degree in physics from ...

When you buy through links on our articles, Future and its syndication partners may earn a commission. Credit: Craig Hale Stable Diffusion is a big name in the AI image generation game, so if you ...