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Sd Controlnet Sam Seg
S
Sd Controlnet Sam Seg
Developed by SAMControlNet
A ControlNet model trained on Stable Diffusion v1.5, utilizing a novel conditional control method for image-to-image conversion
Downloads 98
Release Time : 4/30/2023
Model Overview
This model is based on the runwayml/stable-diffusion-v1-5 trained ControlNet weights, specifically designed for image-to-image conversion tasks, enhancing generation effects through a novel conditional control method.
Model Features
Novel Conditional Control
Adopts an innovative conditional control method to improve the quality and accuracy of image generation
Based on Stable Diffusion
Built upon the mature Stable Diffusion v1.5 model, inheriting its excellent image generation capabilities
ControlNet Integration
Integrates ControlNet technology to achieve precise control over the generation process
Model Capabilities
Image-to-image conversion
Conditional image generation
Image editing
Creative image synthesis
Use Cases
Creative Design
Animal Scene Generation
Generate vivid animal scene images based on text descriptions
As shown in the examples, it can generate scenes such as dolphins leaping out of water or antelopes standing in fields
Artistic Creation
Concept Art Creation
Assist artists in quickly visualizing creative concepts
Can generate high-quality artistic images based on simple prompts
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