| license: mit | |
| tags: | |
| - pytorch | |
| pipeline_tag: unconditional-image-generation | |
| datasets: | |
| - huggan/pokemon | |
| library_name: diffusers | |
| Ref. [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239) | |
| Model for generating new *mutated* pokemons! (lame though 🥲) | |
| ## Usage | |
| ```python | |
| from diffusers import DDPMPipeline | |
| pipeline = DDPMPipeline.from_pretrained('adarksky/pokemon-DDPM') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |
| Use `diffusers==0.30.2` |