metadata
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 library on the Norod78/EmojiFFHQAlignedFaces dataset.
How to use
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()