readme: ---
  tags:
  - ddpm_diffusion
  ---
  
  # Denoising Diffusion Probabilistic Models (DDPM)
  
  **Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
  
  **Abstract**:
  
  *We present high quality image synthesis results using diffusion probabilistic models, a class of latent variable models inspired by considerations from nonequilibrium thermodynamics. Our best results are obtained by training on a weighted variational bound designed according to a novel connection between diffusion probabilistic models and denoising score matching with Langevin dynamics, and our models naturally admit a progressive lossy decompression scheme that can be interpreted as a generalization of autoregressive decoding. On the unconditional CIFAR10 dataset, we obtain an Inception score of 9.46 and a state-of-the-art FID score of 3.17. On 256x256 LSUN, we obtain sample quality similar to ProgressiveGAN.*
  
  ## Usage
  
  ```python
  # !pip install diffusers
  from diffusers import DiffusionPipeline
  import PIL.Image
  import numpy as np
  
  model_id = "fusing/ddpm-celeba-hq"
  
  # load model and scheduler
  ddpm = DiffusionPipeline.from_pretrained(model_id)
  
  # run pipeline in inference (sample random noise and denoise)
  image = ddpm()
  
  # process image to PIL
  image_processed = image.cpu().permute(0, 2, 3, 1)
  image_processed = (image_processed + 1.0) * 127.5
  image_processed = image_processed.numpy().astype(np.uint8)
  image_pil = PIL.Image.fromarray(image_processed[0])
  
  # save image
  image_pil.save("test.png")
  ```
  
  ## Samples
  
  1. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-celeba-hq/image_0.png)
  2. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-celeba-hq/image_1.png)
  3. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-celeba-hq/image_2.png)
  4. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-celeba-hq/image_3.png)
  