Yoso Normal V1 7
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Yoso Normal V1 7
Developed by Stable-X
Achieves stable and sharp normal effects by reducing diffusion variance
Downloads 103
Release Time : 1/10/2025
Model Overview
StableNormal is an image processing tool based on diffusion models, focusing on generating high-quality normal maps. It enhances stability and sharpness by reducing diffusion variance, suitable for normal map generation in various scenarios.
Model Features
Stable and Sharp Normal Effects
Achieves more stable and sharp normal map generation by reducing diffusion variance
Multi-scene Support
Supports processing different data types (object/outdoor/indoor), adaptable to various application scenarios
Background Processing Capability
Automatically handles alpha channels or uses Mask2Former for specific scene masking
Model Capabilities
Normal map generation
Image conversion
Background masking
Use Cases
3D Modeling
Game Asset Creation
Generates high-quality normal maps for 3D models in games
Enhances surface detail representation of models
Computer Vision
Scene Understanding
Generates normal information from 2D images to assist in scene geometry understanding
Enhances depth perception capabilities of computer vision systems
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