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This model is a diffusion model for unconditional image generation of wierd jellyfish at resolution 32.
Fuente del modelo
Descripción de la fuente
This model is a diffusion model for unconditional image generation of wierd jellyfish at resolution 32.
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('dzhov/sd-class-jellyfish-32')
image = pipeline().images[0]
image
Fuentes
1 fuenteVerificado 26 sept
Artefactos del modelo
2 artefactosExtractos de fuentes
2 extractos--- 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 wierd jellyfish at resolution 32. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('dzhov/sd-class-jellyfish-32') image = pipeline().images[0] image ```
Source context: 7 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo dzhov/sd-class-jellyfish-32