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---
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)
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