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- developing
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - diffusers
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+ - image-generation
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+ - flux
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+ - safetensors
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+ license: other
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+ license_name: flux-1-dev-non-commercial-license
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+ license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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+ language:
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+ - en
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+ base_model: black-forest-labs/FLUX.1-dev
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+ library_name: diffusers
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+ ---
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+ # Mystic AI
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+
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+ <div align="center">
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+ <img src="https://enhanceai.s3.amazonaws.com/976a976a-38e2-47d0-89fe-ace1f0e10483_1.png" width="600"/>
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+ </div>
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+
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+ **Mystic AI** is a cutting-edge image generation model that focuses on creating high-quality, aesthetically pleasing images with minimal effort. Designed to perform efficiently, Mystic AI can generate stunning visuals in as few as 8 to 16 inference steps, making it a powerful tool for creative professionals and enthusiasts alike.
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+
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+ ## Features
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+
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+ - **High Quality Output:** Mystic AI produces images with exceptional detail and realism, comparable to leading models like MidJourney.
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+ - **Efficient Inference:** Capable of generating high-quality images with fewer steps, reducing computational load while maintaining excellent results.
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+ - **Versatile Applications:** Ideal for a range of creative projects, including fashion photography, portrait art, and more.
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+
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+ ## Installation
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+
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+ To use Mystic AI, you'll need to install the `diffusers` library and load the model. Here's how you can get started:
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+
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+ ```bash
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+ pip install diffusers
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+ pip install torch --extra-index-url https://download.pytorch.org/whl/cu118
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+ ```
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+
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+ ## Usage
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+
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+ Below is a sample Python script to generate an image using Mystic AI:
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+
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+ ```python
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+ import torch
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+ from diffusers import MysticPipeline
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+
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+ # Load the model
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+ pipe = MysticPipeline.from_pretrained("enhanceateam/mystic", torch_dtype=torch.float16)
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+ pipe.to("cuda")
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+
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+ # Define your prompt
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+ prompt = (
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+ "close up portrait, Amidst the interplay of light and shadows in a photography studio, "
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+ "a soft spotlight traces the contours of a face, highlighting a figure clad in a sleek "
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+ "black turtleneck. The garment, hugging the skin with subtle luxury, complements the "
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+ "Caucasian model's understated makeup, embodying minimalist elegance. Behind, a pale gray "
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+ "backdrop extends, its fine texture shimmering subtly in the dim light, artfully balancing "
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+ "the composition and focusing attention on the subject. In a palette of black, gray, and skin "
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+ "tones, simplicity intertwines with profundity, as every detail whispers untold stories."
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+ )
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+
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+ # Generate the image
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+ image = pipe(prompt,
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+ num_inference_steps=16,
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+ guidance_scale=7.5,
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+ width=768, height=1024,
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+ ).images[0]
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+
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+ # Save the image
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+ image.save("mystic_example.png")
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+ ```
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+
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+ ## Comparison with FLUX
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+
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+ Mystic AI is often compared to FLUX.1-dev for its high-quality outputs. Below are examples that demonstrate the differences in image generation under similar settings.
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+
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+ <div align="center">
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+ <img src="https://i.imgur.com/GlGXtDJ.jpeg" width="800"/>
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+ <img src="https://i.imgur.com/8OblxyN.jpeg" width="800"/>
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+ <img src="https://i.imgur.com/S8nkwEs.jpeg" width="800"/>
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+ <img src="https://i.imgur.com/0KAGeeB.jpeg" width="800"/>
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+ </div>
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+
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+ ## Conclusion
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+
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+ Mystic AI is an efficient and versatile image generation model, perfect for creators looking for high-quality results with minimal computational resources. Whether you're a professional or an enthusiast, Mystic AI can help you achieve your creative vision with ease.
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+
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+ ## License
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+
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+ This project is licensed under the [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). All generated images are non-commercial.
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+
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+ ## Acknowledgements
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+
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+ This model was developed by the team at [Enhance AI](https://www.enhanceai.art/) and is released under appropriate permissions. Special thanks to all contributors who made this project possible.