Update README.md

README.md

@@ -3,6 +3,95 @@ 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
+
+```