# Unconditional image synthesis

This is an unconditional image generation model based on Diffusion Model, specifically fine-tuned for butterfly images.

DDPM is a high-quality image generation model based on diffusion probabilistic models, inspired by non-equilibrium thermodynamics, which generates images through a progressive denoising process.

High-quality image generation model based on diffusion probabilistic models, excelling in unconditional image generation tasks

High-quality image generation model based on diffusion probabilistic models, excelling in unconditional image generation tasks

A generative model based on stochastic differential equations, capable of producing high-quality images by gradually removing noise from a prior distribution

A generative model based on stochastic differential equations that can produce high-quality images from a prior distribution by gradually removing noise

The Latent Diffusion Model (LDM) is an efficient image generation method that applies diffusion models in latent space, significantly reducing computational requirements while maintaining high-quality generation results.