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This model is a diffusion model for unconditional image generation of less wiered jellyfish at resolution 64.
Model source
Source description
This model is a diffusion model for unconditional image generation of less wiered jellyfish at resolution 64.
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('dzhov/sd-class-jellyfish-64')
image = pipeline().images[0]
image
Sources
1 sourceVerified Sep 26
Model artifacts
2 artifactsSource excerpts
2 excerpts--- 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 less wiered jellyfish at resolution 64. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('dzhov/sd-class-jellyfish-64') image = pipeline().images[0] image ```
Source context: 9 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo dzhov/sd-class-jellyfish-64