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

ayoubkirouane
/

Stable-Cats-Generator