Description
Have you ever seen aurora with your own eyes? Check the above picture I got in Alaska in Winter. Beautiful right?
However, aurora is so rare that we can hardly see it even in the very north places like Alaska.
Don't worry. Now we have generative models!!! Here are the pictures generated by this model:
Model Details
This model generate 256 * 256 pixel pictures of aurora.
It is trained from dataset huggan/few-shot-aurora.
The training method is modified from this example.
You can check my training source code here:
Usage
Option 1 (Slow)
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('li-yan/diffusion-aurora-256')
image = pipeline().images[0]
image
Option 2 (Fast)
from diffusers import DiffusionPipeline, DDIMScheduler
scheduler = DDIMScheduler.from_pretrained('li-yan/diffusion-aurora-256')
scheduler.set_timesteps(num_inference_steps=40)
pipeline = DiffusionPipeline.from_pretrained(
'li-yan/diffusion-aurora-256', scheduler=scheduler)
images = pipeline(num_inference_steps=40).images
images[0]
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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.