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
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:
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:
import torch
from diffusers import FluxPipeline
# Load the model
pipe = FluxPipeline.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.
API Service
If you prefer to integrate Mystic AI into your own applications, you can access it via our API:
- ModelsLabAPI Service: Visit https://modelslab.com/models/mystic to get started with the Mystic API, allowing you to generate images programmatically.
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.
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. All generated images are non-commercial.