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Ttplanet SDXL Controlnet Tile Realistic

Developed by TTPlanet
A ControlNet Tile model based on the SDXL framework for enhancing or altering original image details, compatible with WebUI and ComfyUI
Downloads 18.39k
Release Time : 3/2/2024

Model Overview

This is a ControlNet Tile model specifically designed for Stable Diffusion SDXL, primarily used for image detail enhancement and high-resolution restoration. The latest V2 version improves the dataset and training steps, enabling automatic recognition of a wider range of objects and addressing color shift issues.

Model Features

Automatic Object Recognition
V2 version can recognize a broader range of objects without explicit prompts
Color Shift Improvement
Significantly improves color shift issues, further optimizable via prompts or color correction nodes
Robust Control Strength
More stable control strength, can replace canny+openpose combinations in certain scenarios
Realistic Optimization
Trained on realistic datasets, especially suitable for photorealistic image processing

Model Capabilities

Image Detail Enhancement
High-Resolution Restoration
Style Transfer
Image Super-Resolution

Use Cases

Image Restoration and Enhancement
Ultimate Upscale Workflow
Combined with Ultimate Upscale script for high-detail, high-resolution image restoration
Example images demonstrate the transformation from low-resolution to high-detail
Portrait Restoration
Optimizes portrait details with IPA plugin and ControlNet early stopping mechanism
Maintains facial consistency while improving image quality
Creative Applications
Style Transfer
Generates different style works based on a single image by setting preprocessor to None
Examples show the effect of changing clothing styles while maintaining poses
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