Nebulae

🚀 Nebulae Model Card

DDPMNebula is a latent noise - to - image diffusion model that can generate nebula images. It provides a new way to create stunning nebula visuals.

🚀 Quick Start

You can use this model with the 🧨Diffusers library from Hugging Face. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion blog.

💻 Usage Examples

Basic Usage

from diffusers import DiffusionPipeline

pipeline = DiffusionPipeline.from_pretrained("nroggendorff/nebulae")
pipe = pipeline.to("cuda")

image = pipe().images[0]  

image.save("nebula.png")

📚 Documentation

Model Details

Limitations

⚠️ Important Note

• The model does not achieve perfect photorealism.
• The model cannot render legible text.
• The model was trained on a medium - to - large - scale dataset: Nebulae.

Developed by

• Noa Linden Roggendorff

This model card was written by Noa Roggendorff and is based on the Stable Diffusion v1 - 5 Model Card.

📄 License

This project is licensed under the MIT license.