Model Card for Stable Diffusion - Aurora Borealis, 128px
Model developed for the Unit 1 of the Diffusion Models Class 🧨.
This model is a diffusion model for unconditional image generation of aurora borealis 🌌.
It is trained on a small collection of aurora pictures and trained for 50 epochs, with 🤗 Accelerate.
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('alkiskoudounas/sd-aurora-128px')
image = pipeline().images[0]
image
Example
Here you can find an example of the output of the model, in a batch of 8 images:
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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