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Control V11f1e Sd15 Tile

Developed by ControlNet-1-1-preview
ControlNet v1.1 is a neural network architecture based on diffusion models, designed to control pre-trained large diffusion models by adding additional conditions.
Downloads 79
Release Time : 5/4/2023

Model Overview

This model is a ControlNet based on tiled images, similar to super-resolution models, capable of generating details matching the input image dimensions.

Model Features

Tile Image Processing
Capable of processing tiled images to generate details matching the input image dimensions.
Conditional Control
Controls pre-trained diffusion models by adding additional conditions.
Efficient Training
Maintains robust learning performance even on small datasets (<50k).

Model Capabilities

Image Super-Resolution
Image Detail Generation
Conditional Image Generation

Use Cases

Image Enhancement
Image Detail Enhancement
Enhances image details and quality through tile processing.
Generates high-quality, detail-rich images.
Artistic Creation
Art Style Transfer
Generates images with artistic styles based on input images.
Produces images with specific artistic styles.
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