🚀 Diffusion Aurora 256
This project uses generative models to generate 256x256 pixel aurora pictures, allowing you to enjoy the beauty of aurora without going to the far north.
🚀 Quick Start
This model can generate 256x256 pixel aurora pictures. You can choose different ways to use it according to your needs.
✨ Features
- Generate high - quality 256 * 256 pixel aurora pictures.
- Provide two usage options: slow and fast.
📦 Installation
This README does not provide specific installation steps, so this section is skipped.
💻 Usage Examples
Basic Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('li-yan/diffusion-aurora-256')
image = pipeline().images[0]
image
Advanced Usage
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]
📚 Documentation
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: 
| Property |
Details |
| Model Type |
Model for generating 256x256 pixel aurora pictures |
| Training Data |
huggan/few-shot-aurora |
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