Cats

🚀 Cursedte Kitty Cats Model Card

This is a latent noise-to-image diffusion model named DDPMCats, which can generate images of cats. For more details about how Stable Diffusion works, check out 🤗's Stable Diffusion blog. You can use this model with the 🧨Diffusers library from Hugging Face.

🚀 Quick Start

You can use the following code to generate cat images with the model:

from diffusers import DiffusionPipeline

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

image = pipe().images[0]  

image.save("cat.png")

✨ Features

• Capable of generating images of cats.
• Can be used with the 🧨Diffusers library from Hugging Face.

📦 Installation

The README doesn't provide specific installation steps, so this section is skipped.

💻 Usage Examples

Basic Usage

from diffusers import DiffusionPipeline

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

image = pipe().images[0]  

image.save("cat.png")

📚 Documentation

Model Details

Bias

⚠️ Important Note

This model may exhibit biases due to its training data. It will not display images of abused or sick cats, as it prioritizes the well-being of animals.

Limitations

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

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 model is released under the MIT license.