This model is a diffusion model for unconditional image generation of pokemon.
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This model is a diffusion model for unconditional image generation of pokemon.
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Saraansh1999/pokemon-32')
image = pipeline().images[0]
image
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1 sourceVérifié 26 sept.
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1 artefactExtraits de sources
2 extraits--- 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) This model is a diffusion model for unconditional image generation of pokemon. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('Saraansh1999/pokemon-32') image = pipeline().images[0] image ```
Source context: 2 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo Saraansh1999/pokemon-32