---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---

# Model Card for Simple Difussion model using Hugging Face diffusers library

This model is a diffusion model for unconditional image generation of cartoon faces using the
[cartoon10k dataset](https://www.kaggle.com/datasets/imreallyjohn/cartoonset10k/data). The code
for this model can be found on [github.](https://github.com/Mau124/Diffusers)

The pipeline for this model was created following [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)

## Usage

```python
from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('Mau124/diffusion-model-cartoon10k-96')
image = pipeline().images[0]
image
```

Results of generating randomly 16 96x96 images:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/66b7c88f1aae3b67e723a480/0rGBKmdxjYcJJl8DMrT_y.png)