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Color Canny Controlnet Model
C
Color Canny Controlnet Model
Developed by ghoskno
A ControlNet checkpoint trained based on runwayml/stable-diffusion-v1-5, using fused color and edge detection as conditional input for image generation control.
Downloads 85
Release Time : 4/28/2023
Model Overview
This model enhances Stable Diffusion's control capabilities during image generation by combining color and edge detection as conditional inputs, particularly suitable for generating artistic style images.
Model Features
Color Control
Can control the color style of generated images through input color conditions.
Edge Detection
Enhances image structure control by combining edge detection technology.
Brightness Adjustment
Can control the brightness and darkness effects of generated images through different brightness condition images.
Model Capabilities
Artistic style image generation
Image color control
Image edge control
Image brightness adjustment
Use Cases
Digital Art Creation
Makoto Shinkai Style Image Generation
Generate scene images with the animation style of Makoto Shinkai.
As shown in the examples, it can generate high-quality concept art with a unified style.
Scene Color Control
Control the overall tone of generated images through color conditions.
Can maintain scene structure while changing the overall color style.
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