
# Diffusion Models 101

This model is a diffusion model for unconditional image generation of MNIST digits fine-tuned on Google's ddpm-cifar10-32 model

## Usage

```python
from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('dvgodoy/ddpm-cifar10-32-mnist')
image = pipeline().images[0]
image
```

{"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]}
diffusers pytorch unconditional-image-generation diffusion-models-class license:mit diffusers:DDPMPipeline region:us
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us 


# Diffusion Models 101

This model is a diffusion model for unconditional image generation of MNIST digits fine-tuned on Google's ddpm-cifar10-32 model

## Usage



# Diffusion Models 101

This model is a diffusion model for unconditional image generation of MNIST digits fine-tuned on Google's ddpm-cifar10-32 model ## Usage
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us 
 # Diffusion Models 101

This model is a diffusion model for unconditional image generation of MNIST digits fine-tuned on Google's ddpm-cifar10-32 model ## Usage