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Sd Class Butterflies 32
Developed by dapiqiu
A diffusion model library based on the PyTorch framework, focusing on unconditional image generation tasks.
Downloads 22
Release Time : 2/1/2024
Model Overview
This model library provides a PyTorch-based implementation of diffusion models, primarily for unconditional image generation tasks, suitable for diffusion model course learning and research.
Model Features
PyTorch Framework Support
Implemented based on the PyTorch framework, facilitating integration and extension.
Unconditional Image Generation
Focuses on unconditional image generation tasks, suitable for research and teaching.
Diffusion Model Implementation
Provides a complete implementation of diffusion models for learning and experimentation.
Model Capabilities
Image Generation
Unconditional Image Synthesis
Use Cases
Education
Diffusion Model Course Teaching
Used for teaching and experiments in diffusion model-related courses.
Helps students understand and practice the working principles of diffusion models.
Research
Unconditional Image Generation Research
Used for research and experiments related to unconditional image generation.
Advances the development of diffusion models in the field of image generation.
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