Stable-Cats-Generator

Model Card: Stable-Cats-Generator

Model Information

• Model Name: Stable-Cats-Generator
• Model Version: v1
• Model Type: Image Generation
• Based on: Stable Diffusion v2

Model Description

Stable-Cats-Generator is an image generation model fine-tuned for generating white cat images based on text prompts. It is built upon Stable Diffusion v2 and utilizes a pretrained text encoder (OpenCLIP-ViT/H) for text-to-image generation. Stable Diffusion v2 is the latest version of the Stable Diffusion text-to-image diffusion model. It was released in 2023 and is based on the same core principles as the original Stable Diffusion model, but it has a number of improvements

Intended Use

• Safe content generation
• Artistic and creative processes
• Bias and limitation exploration
• Educational and creative tools

Potential Use Cases

• Generating cat images for artistic purposes
• Investigating biases and limitations of generative models
• Creating safe and customizable content
• Enhancing educational or creative tools

Model Capabilities

• High-quality white cat image generation
• Quick image generation, even on single GPUs
• Customizable for specific needs and datasets

Limitations

• May not always produce realistic images
• Limited to generating white cat images based on text prompts
• Ethical considerations when using generated content

Ethical Considerations

• Ensure generated content is safe and non-harmful
• Monitor and mitigate potential biases in generated content
• Respect copyright and licensing when using generated images

Responsible AI

• Ongoing monitoring and evaluation of model outputs
• Regular updates to address limitations and improve safety
• Compliance with ethical guidelines and legal regulations

Disclaimer

This model card serves as a documentation tool and does not constitute legal or ethical guidance. Users of the model are responsible for adhering to ethical and legal standards in their use of the model.

Usage

pip install diffusers==0.11.1
pip install transformers scipy ftfy accelerate

import torch
from diffusers import StableDiffusionPipeline

pipe = StableDiffusionPipeline.from_pretrained("ayoubkirouane/Stable-Cats-Generator", torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "A photo of a picture-perfect white cat."
image = pipe(prompt).images[0]  # image here is in [PIL format](https://pillow.readthedocs.io/en/stable/)

# Now to display an image you can either save it such as:
image.save(f"cat.png")

# or if you're in a google colab you can directly display it with 
image