CLEAR
C
CLEAR
Developed by Huage001
CLEAR is an image-to-image generation model based on diffusion transformers, accelerating the pretraining process through convolutional linearization techniques.
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Release Time : 12/19/2024
Model Overview
This model focuses on image-to-image generation tasks, leveraging the diffusion transformer architecture to achieve high-quality image transformation and generation.
Model Features
Convolutional Linearization Technique
Accelerates the pretraining process through an innovative convolutional linearization method, improving model efficiency.
Diffusion Transformer Architecture
Combines the strengths of diffusion models and transformer architectures to achieve high-quality image generation.
Model Capabilities
Image Generation
Image Translation
Image Enhancement
Use Cases
Image Processing
Style Transfer
Transforms input images into specific artistic styles
Image Inpainting
Repairs damaged or missing parts of an image
Creative Design
Artistic Creation
Generates original images with artistic styles
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