---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
---

# Model Card: Stable-Cats-Generator

## Model Information

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

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6338c06c107c4835a05699f9/0b8P7pCT91aaflI_8s5UK.png)

## 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
```
```python
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

```