FLUX.1 - Black Forest Labs - Frontier AI Lab

Amazing AI models from the Black Forest.

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FLUX.1 - Black Forest Labs - Frontier AI Lab

Introduction

What is FLUX.1?

FLUX.1 is a new era of creation, offering state-of-the-art performance in image generation with top-notch prompt following, visual quality, image detail, and output diversity.

Features of FLUX.1

FLUX.1 comes in three distinct variants:

FLUX.1 [pro]

  • Offers state-of-the-art performance in image generation
  • Top of the line prompt following, visual quality, image detail, and output diversity
  • Available via API, Partners Replicate and fal.ai, and customized enterprise solutions

FLUX.1 [dev]

  • An open-weight, guidance-distilled model for non-commercial applications
  • Similar quality and prompt adherence capabilities as FLUX.1 [pro]
  • More efficient than a standard model of the same size
  • Available on HuggingFace, Replicate, and fal.ai

FLUX.1 [schnell]

  • The fastest model, tailored for local development and personal use
  • Openly available under an Apache2.0 license
  • Weights available on Hugging Face, inference code on GitHub, and available via Replicate and fal.ai

How to use FLUX.1

You can use FLUX.1 in various ways, including:

  • Trying it out on our API
  • Accessing it via Partners Replicate and fal.ai
  • Using the open-weight, guidance-distilled model for non-commercial applications
  • Downloading the weights and inference code from HuggingFace and GitHub

Helpful Tips

  • Follow us for the latest updates on FLUX.1
  • Check out our GitHub repository for more information
  • Reach out to us via [email protected] for customized enterprise solutions

Frequently Asked Questions

  • What is FLUX.1? FLUX.1 is a new era of creation, offering state-of-the-art performance in image generation.
  • What are the different variants of FLUX.1? FLUX.1 comes in three variants: FLUX.1 [pro], FLUX.1 [dev], and FLUX.1 [schnell].
  • How can I use FLUX.1? You can use FLUX.1 via our API, Partners Replicate and fal.ai, or by downloading the open-weight, guidance-distilled model.