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Mnist Demo3
A diffusion model based on PyTorch and Diffusers library for unconditional generation of black and white handwritten digit images.
Downloads 32
Release Time : 10/15/2024
Model Overview
This model is a diffusion model specifically designed for generating black and white handwritten digit images. Trained for 10 epochs with a learning rate of 4e-4, it achieves good generation results.
Model Features
Unconditional image generation
Capable of generating handwritten digit images without input conditions
High-quality generation
Optimized training ensures good quality of generated images
Simple and easy to use
Provides simple API interfaces through the Diffusers library
Model Capabilities
Handwritten digit image generation
Black and white image generation
Use Cases
Education
Handwritten digit generation demo
Used for teaching to demonstrate the image generation capability of diffusion models
Generates realistic handwritten digit images
Research
Diffusion model research
Serves as a benchmark model for diffusion model research
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ยฉ 2025AIbase