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README.md CHANGED
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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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+
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+ ## Model Information
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+
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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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+
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+ ## Model Description
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+
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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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+
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6338c06c107c4835a05699f9/Lxu-YADfOSpXUFTFsOxuA.png)
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+
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+ ## Intended Use
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+
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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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+
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+ ## Potential Use Cases
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+
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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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+
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+ ## Model Capabilities
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+
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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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+
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+ ## Limitations
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+
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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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+
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+ ## Ethical Considerations
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+
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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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+
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+ ## Responsible AI
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+
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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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+
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+ ## Disclaimer
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+
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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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+
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+ ## Usage
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+
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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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+
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+ ```python
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+
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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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+
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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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+
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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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+ ```
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