|
|
--- |
|
|
license: mit |
|
|
tags: |
|
|
- pytorch |
|
|
- diffusers |
|
|
- unconditional-image-generation |
|
|
- diffusion-models-class |
|
|
--- |
|
|
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) |
|
|
|
|
|
If you are wondering what would happen when a model trained on a bunch of images pokemons and then denoising them using Diffusion, then check out this model. |
|
|
|
|
|
## Usage |
|
|
|
|
|
```python |
|
|
from diffusers import DDPMPipeline |
|
|
pipeline = DDPMPipeline.from_pretrained('Hawk91/sd-Pokemon') |
|
|
image = pipeline().images[0] |
|
|
image |
|
|
``` |
