# High-fidelity image generation

XVerse is an innovative method for multi-subject image synthesis that enables precise and independent control of individual subjects without disrupting the underlying features of the overall image.

AnyStory is a unified method for personalized subject generation, capable of achieving high-fidelity personalization for single and multiple subjects.

Switti is a scale-aware text-to-image generation transformer focused on high-quality image synthesis.

Lumiere Alpha is a text-to-image model focused on enhancing realism while maintaining prompt coherence and the original composition of the FLUX.1-Dev model.

BigASPv2Lustify is a text-to-image model based on Stable Diffusion XL, specializing in generating highly realistic and photorealistic images.

Prefix Realistic Mix is a stable diffusion model focused on generating highly realistic images.

Photon is a text-to-image generation model based on stable diffusion technology, focusing on high-quality image generation.

RealisticVision_V2 is a text-to-image generation model based on stable diffusion technology, capable of generating high-quality, realistic images from text prompts.

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

This model utilizes Stochastic Differential Equations (SDE) to achieve high-quality image generation by gradually injecting and removing noise, supporting unconditional image generation and various image processing tasks.