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Control V11p Sd15 Canny

Developed by frankjoshua
ControlNet v1.1 is a Canny edge control model based on Stable Diffusion, enabling image generation by adding edge conditions.
Downloads 41
Release Time : 7/27/2023

Model Overview

This model is the successor to ControlNet v1.0, specifically trained for Canny edge detection conditions. It can be used in conjunction with Stable Diffusion to achieve edge-controlled image generation.

Model Features

Canny edge control
Uses Canny edge detection maps as conditional input to precisely control the edge structure of generated images
Improved training data
Addresses training data issues in v1.0, reducing grayscale portrait bias and low-quality images
Enhanced robustness
Trained on 8 A100 GPUs for large-scale training, resulting in more robust model performance
Data augmentation
Incorporates techniques like random horizontal flipping during training

Model Capabilities

Edge-conditioned image generation
Image-to-image translation
Art creation assistance
Structure-preserving image synthesis

Use Cases

Art creation
Line art coloring
Convert hand-drawn sketches into colored artworks
Preserves original sketch structure while adding colors and details
Architectural visualization
Generate realistic renderings from architectural sketches
Accurately maintains building structures while adding materials and environments
Design assistance
Product design
Generate multi-angle renders from product outlines
Maintains basic product structure while exploring different design options
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