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Dampulan/
my-simple-diffuser

Name: my-simple-diffuser
Availability: InStock

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markdown

---
language: en
tags:
- diffusion
- pytorch
- generative-ai
- image-generation
license: mit
---

# My Simple Diffuser

A lightweight diffusion model for educational purposes and research experiments.

## 🚀 Usage

```python
from diffusers import DiffusionPipeline
import torch

# Load model (after uploading to Hugging Face)
pipeline = DiffusionPipeline.from_pretrained("Dampulan/my-simple-diffuser")
image = pipeline("your prompt here").images[0]
image.save("generated_image.png")

Or with command line:

python generate.py --checkpoint path/to/checkpoint.pth --samples 10

📊 Model Overview

This model learns to generate coherent images through the diffusion process:

· Forward Process: Gradually add noise to data · Reverse Process: Learn to denoise and generate new samples

🎯 Use Cases

· Educational purposes for understanding diffusion models · Research experiments with different architectures · Starting point for more complex generative AI projects

🛠️ Training

· Framework: PyTorch · Architecture: Diffusion Model · Training Environment: Google Colab

📁 Files

· model_epoch_10.pth to model_epoch_50.pth - Checkpoint files · config.json - Model configuration · generate.py - Inference script

🤝 Contributing

Feel free to fork this project and submit pull requests for any improvements!

📝 License

MIT License

Built with ❤️ using PyTorch and Google Colab