# Multi-condition Control

This is the FP8 quantized version of the Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0 model, quantized from the original BFloat16 format using PyTorch's native FP8 support to optimize inference performance.

A unified ControlNet based on the FLUX.1-dev model, supporting multiple control modes with improved control effects and aesthetic performance

An image editing fine-tuned control LoRA based on THUDM/CogView4-6B model, supporting style transfer and content editing through text instructions

ZenCtrl is an intelligent agent that automates personalized visual content creation workflows, capable of performing various design tasks and training custom models.

All-in-one ControlNet model supporting 12 control conditions and 5 advanced editing features for integrated image generation and editing