xinsir/controlnet-union-sdxl-1.0 - AI Image Models Tool

Overview

A ControlNet++ model built on Stable Diffusion XL for text-to-image generation and advanced image editing. It targets high-resolution, multi-condition image generation and editing. Supports more than ten control conditions and features including tile deblurring, tile variation, super resolution, inpainting, and outpainting for refined, condition-driven outputs.

Key Features

• Built on Stable Diffusion XL for high-fidelity generation
• ControlNet++ architecture supporting over 10 control conditions
• Tile deblurring for improved tile-based image quality
• Tile variation to create diverse tile outputs
• Super resolution upscaling for higher-resolution results
• Inpainting to edit or replace image regions
• Outpainting to expand images beyond original borders
• Designed for multi-condition image generation and editing

Ideal Use Cases

• High-resolution text-to-image generation with multiple conditioning signals
• Advanced image editing workflows using inpainting and outpainting
• Tile-based image processing and batch variation generation
• Upscaling images where detail recovery is required
• Combining multiple control conditions for precise visual outputs

Getting Started

• Open the model page on Hugging Face to review description and resources
• Download or clone the model files from the model page
• Use an SDXL-compatible inference pipeline that supports ControlNet inputs
• Provide text prompts and one or more control condition inputs
• Run inference and tune control strengths and generation parameters

Pricing

No pricing information is provided on the model page; check the Hugging Face model page for usage terms and licensing.

Key Information

• Category: Image Models
• Type: AI Image Models Tool