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Control V11p Sd15 Softedge

Developed by lllyasviel
ControlNet v1.1 is the successor model to ControlNet v1.0, enabling additional conditions to control diffusion models and supporting soft edge-based image generation.
Downloads 13.04k
Release Time : 4/14/2023

Model Overview

ControlNet is a neural network structure designed to control large pre-trained diffusion models with additional input conditions. This checkpoint corresponds to the ControlNet based on soft edge conditions and can be used in conjunction with Stable Diffusion.

Model Features

Soft Edge Condition Control
Supports soft edge-based image generation, allowing finer control over edge details in generated images.
End-to-End Learning
Learns task-specific conditions in an end-to-end manner, maintaining robustness even with smaller training datasets.
Fast Training
Training ControlNet is as fast as fine-tuning diffusion models and can be performed on personal devices.

Model Capabilities

Soft Edge-Based Image Generation
Image-to-Image Transformation
Conditional Control of Diffusion Models

Use Cases

Artistic Creation
Interior Design
Generate interior design images with specific styles based on soft edge conditions.
Produces refined images that adhere to input edge conditions.
Image Editing
Image Enhancement
Enhance or modify details of existing images using soft edge conditions.
Generates images with higher detail quality.
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