Model Card for Unit 1 of the 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
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Hawk91/sd-Pokemon')
image = pipeline().images[0]
image
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This model is not currently available via any of the supported third-party Inference Providers, and
the HF Inference API does not support diffusers models with pipeline type unconditional-image-generation