---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: Norod78/EmojiFFHQAlignedFaces
metrics: []
---

# ddpm-EmojiAlignedFaces-64

## Model description

This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library 
on the [Norod78/EmojiFFHQAlignedFaces](https://huggingface.co/datasets/Norod78/EmojiFFHQAlignedFaces) dataset.

#### How to use

```python
from diffusers import DDPMPipeline, DDIMPipeline, PNDMPipeline


def main():
    model_id = "Norod78/ddpm-EmojiAlignedFaces-64"

    # load model and scheduler
    ddpm = DDPMPipeline.from_pretrained(model_id)  # you can replace DDPMPipeline with DDIMPipeline or PNDMPipeline for faster inference

    # run pipeline in inference (sample random noise and denoise)
    image = ddpm()["sample"]

    # save image
    image[0].save("ddpm_generated_image.jpg")
    image[0].show()

if __name__ == '__main__':
    main()
```


### Training data

[Norod78/EmojiFFHQAlignedFaces](https://huggingface.co/datasets/Norod78/EmojiFFHQAlignedFaces)

### Training results

📈 [TensorBoard logs](https://huggingface.co/Norod78/ddpm-EmojiAlignedFaces-64/tensorboard?#scalars)