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--- |
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language: en |
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license: apache-2.0 |
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library_name: diffusers |
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tags: [] |
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datasets: Norod78/EmojiFFHQAlignedFaces |
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metrics: [] |
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--- |
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# ddpm-EmojiAlignedFaces-64 |
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## Model description |
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This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library |
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on the [Norod78/EmojiFFHQAlignedFaces](https://huggingface.co/datasets/Norod78/EmojiFFHQAlignedFaces) dataset. |
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#### How to use |
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```python |
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from diffusers import DDPMPipeline, DDIMPipeline, PNDMPipeline |
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def main(): |
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model_id = "Norod78/ddpm-EmojiAlignedFaces-64" |
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# load model and scheduler |
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ddpm = DDPMPipeline.from_pretrained(model_id) # you can replace DDPMPipeline with DDIMPipeline or PNDMPipeline for faster inference |
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# run pipeline in inference (sample random noise and denoise) |
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image = ddpm()["sample"] |
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# save image |
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image[0].save("ddpm_generated_image.jpg") |
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image[0].show() |
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if __name__ == '__main__': |
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main() |
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``` |
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### Training data |
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[Norod78/EmojiFFHQAlignedFaces](https://huggingface.co/datasets/Norod78/EmojiFFHQAlignedFaces) |
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### Training results |
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📈 [TensorBoard logs](https://huggingface.co/Norod78/ddpm-EmojiAlignedFaces-64/tensorboard?#scalars) |
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