Update README.md
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ayoubkirouane
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README.md
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tags:
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- text-to-image
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- stable-diffusion
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---
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tags:
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- text-to-image
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- stable-diffusion
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language:
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- en
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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# Model Card: Stable-Cats-Generator
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## Model Information
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- **Model Name:** Stable-Cats-Generator
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- **Model Version:** v1
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- **Model Type:** Image Generation
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- **Based on:** Stable Diffusion v2
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## Model Description
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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.
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## Intended Use
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- Safe content generation
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- Artistic and creative processes
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- Bias and limitation exploration
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- Educational and creative tools
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## Potential Use Cases
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- Generating cat images for artistic purposes
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- Investigating biases and limitations of generative models
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- Creating safe and customizable content
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- Enhancing educational or creative tools
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## Model Capabilities
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- High-quality white cat image generation
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- Quick image generation, even on single GPUs
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- Customizable for specific needs and datasets
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## Limitations
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- May not always produce realistic images
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- Limited to generating white cat images based on text prompts
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- Ethical considerations when using generated content
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## Ethical Considerations
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- Ensure generated content is safe and non-harmful
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- Monitor and mitigate potential biases in generated content
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- Respect copyright and licensing when using generated images
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## Responsible AI
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- Ongoing monitoring and evaluation of model outputs
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- Regular updates to address limitations and improve safety
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- Compliance with ethical guidelines and legal regulations
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## Disclaimer
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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.
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## Usage
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```
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pip install diffusers==0.11.1
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pip install transformers scipy ftfy accelerate
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```
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```python
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import torch
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from diffusers import StableDiffusionPipeline
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pipe = StableDiffusionPipeline.from_pretrained("ayoubkirouane/Stable-Cats-Generator", torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "A photo of a picture-perfect white cat."
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image = pipe(prompt).images[0] # image here is in [PIL format](https://pillow.readthedocs.io/en/stable/)
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# Now to display an image you can either save it such as:
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image.save(f"cat.png")
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# or if you're in a google colab you can directly display it with
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image
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```
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