
This model is a diffusion model for unconditional image generation of mammograms of size 64x64 pixels.
The model was trained with 1000 images using the [DDPM](https://arxiv.org/abs/2006.11239) architecture.
The model was trained for 50 epochs with a batch size of 64, using around 11 GB of GPU memory. 

## Usage

```python
from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained({hub_model_id})
image = pipeline().images[0]
image
```

{"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]}
diffusers pytorch unconditional-image-generation diffusion-models-class arxiv:2006.11239 license:mit diffusers:DDPMPipeline region:us
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #arxiv-2006.11239 #license-mit #diffusers-DDPMPipeline #region-us 


This model is a diffusion model for unconditional image generation of mammograms of size 64x64 pixels.
The model was trained with 1000 images using the DDPM architecture.
The model was trained for 50 epochs with a batch size of 64, using around 11 GB of GPU memory. 

## Usage



## Usage
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #arxiv-2006.11239 #license-mit #diffusers-DDPMPipeline #region-us 
 ## Usage
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #arxiv-2006.11239 #license-mit #diffusers-DDPMPipeline #region-us 
## Usage