Model Card for Stable Diffusion - Aurora Borealis, 128px

Model developed for the Unit 1 of the Diffusion Models Class ๐Ÿงจ.

This model is a diffusion model for unconditional image generation of aurora borealis ๐ŸŒŒ.
It is trained on a small collection of aurora pictures and trained for 50 epochs, with ๐Ÿค— 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:

Butterflies Example

Downloads last month
56
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The HF Inference API does not support unconditional-image-generation models for diffusers library.