Turn Off MidJourney! Stable Diffusion's Open Source Model King FLUX.1 One-Click Local Operation Package

Turn Off MidJourney! Stable Diffusion’s Open Source Model King FLUX.1 One-Click Local Operation Package for Windows and Mac

Hello everyone! Today I have some groundbreaking news for you! The founding team of Stable Diffusion has done it again, introducing a brand-new open-source AI image generation model—FLUX.1! This is not only a technological breakthrough but also brings limitless possibilities for creative workers. Without further ado, let’s dive in!

What is FLUX.1?

FLUX.1 is a massive model with 12 billion parameters, making it one of the largest open-source text-to-image models to date. It comes in three variants: Professional [pro], Development [dev], and Quick [schnell], catering to different user needs.

Quick Start Guide

Open source address: https://github.com/black-forest-labs/flux

This AI tool has been packaged into a local one-click startup bundle, allowing you to use it on your personal computer without worrying about privacy leaks or configuration issues.

Computer Requirements

  • Windows 10/11 64-bit OS
  • NVIDIA graphics card with 24GB or more VRAM

Download and Usage Tutorial

  1. Download the Zip File:

    Download link: https://www.patreon.com/posts/turn-off-stable-109561520

  2. Extract the Files:
    After extracting, make sure there are no Chinese characters in the path. Double-click the “run.exe” file to run.

  3. Browser Access:
    The software will automatically open a browser, displaying the following interface.

Features

  • Large-Scale Parameters: With 12 billion parameters, it provides a strong foundation for image generation.
  • Multimodal Architecture: Combines text and image processing capabilities, enhancing data correlation.
  • High-Performance Variants: Three different performance models cover scenarios from professional to personal use.
  • Image Quality: Surpasses existing models in multiple dimensions, providing higher quality image outputs.
  • Open Source and Accessibility: Some variants are open source, making them easy to study and use for non-commercial purposes.
  • Technical Innovations: Includes advanced technologies like flow-matching training methods, rotary position embedding, and parallel attention layers.

Technical Principles

FLUX.1 uses a multimodal architecture and parallel diffusion Transformer blocks. These technical principles work together to enhance the model’s performance and hardware efficiency. The flow-matching training method simplifies the training process and improves generation quality.

Application Scenarios

FLUX.1 has a wide range of applications, including media and entertainment, art creation and design, advertising and marketing, education and research, and content creation.

So, what are you waiting for? Download and try it out now!