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Mystic

Text-to-Image
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FluxPipeline
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image-generation
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Mystic
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---
tags:
- text-to-image
- stable-diffusion
- diffusers
- image-generation
- flux
- safetensors
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
base_model: black-forest-labs/FLUX.1-dev
library_name: diffusers
---
# Mystic AI

<div align="center">
  <img src="https://enhanceai.s3.amazonaws.com/976a976a-38e2-47d0-89fe-ace1f0e10483_1.png" width="600"/>
</div>

**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.

## Features

- **High Quality Output:** Mystic AI produces images with exceptional detail and realism, comparable to leading models like MidJourney.
- **Efficient Inference:** Capable of generating high-quality images with fewer steps, reducing computational load while maintaining excellent results.
- **Versatile Applications:** Ideal for a range of creative projects, including fashion photography, portrait art, and more.

## Installation

To use Mystic AI, you'll need to install the `diffusers` library and load the model. Here's how you can get started:

```bash
pip install diffusers
pip install torch --extra-index-url https://download.pytorch.org/whl/cu118
```

## Usage

Below is a sample Python script to generate an image using Mystic AI:

```python
import torch
from diffusers import MysticPipeline

# Load the model
pipe = MysticPipeline.from_pretrained("enhanceateam/mystic", torch_dtype=torch.float16)
pipe.to("cuda")

# Define your prompt
prompt = (
    "close up portrait, Amidst the interplay of light and shadows in a photography studio, "
    "a soft spotlight traces the contours of a face, highlighting a figure clad in a sleek "
    "black turtleneck. The garment, hugging the skin with subtle luxury, complements the "
    "Caucasian model's understated makeup, embodying minimalist elegance. Behind, a pale gray "
    "backdrop extends, its fine texture shimmering subtly in the dim light, artfully balancing "
    "the composition and focusing attention on the subject. In a palette of black, gray, and skin "
    "tones, simplicity intertwines with profundity, as every detail whispers untold stories."
)

# Generate the image
image = pipe(prompt, 
             num_inference_steps=16, 
             guidance_scale=7.5,
             width=768, height=1024,
            ).images[0]

# Save the image
image.save("mystic_example.png")
```

## Online Service

Mystic AI is available for use via an online service:

- **Enhance Playground:** Explore and generate images directly in your browser with the Mystic Run playground at [enhanceai.art/playground/v2](https://enhanceai.art/playground/v2).
  

## Comparison with FLUX

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.

<div align="center">
  <img src="https://i.imgur.com/GlGXtDJ.jpeg" width="800"/>
  <img src="https://i.imgur.com/8OblxyN.jpeg" width="800"/>
  <img src="https://i.imgur.com/S8nkwEs.jpeg" width="800"/>
  <img src="https://i.imgur.com/0KAGeeB.jpeg" width="800"/>
</div>

## Conclusion

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.

## License

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.

## Acknowledgements

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.