# Text-to-image diffusion model

Lumina-Next-SFT is a 2-billion-parameter Next-DiT model that uses Gemma-2B as the text encoder and is enhanced through high-quality supervised fine-tuning (SFT) for text-to-image generation.

Playground v2 is a diffusion-based text-to-image generation model mainly used for research purposes, capable of generating images with a resolution of 256x256.

Text-to-image technology based on latent diffusion model, capable of generating realistic images from text input

A text-to-image system based on latent diffusion model that can generate realistic images from text input

A latent text-to-image diffusion model fine-tuned on high-quality anime images, specializing in generating 2D-style artwork

Text-to-image technology based on latent diffusion model, capable of generating realistic images from text input

Stable Diffusion is a latent diffusion model capable of generating realistic images from text inputs. Version 1.3 includes aesthetic optimization training based on v1.2.