Flux 2

Flux 2

Open-weight rectified flow Transformer for image generation and editing.

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Flux 2 screenshot

Overview

Flux 2 is an open-weight rectified flow Transformer designed for high-quality image generation and editing. It represents a significant technical leap in the field, using a rectified flow architecture to produce more coherent, detailed, and photorealistic images from text prompts, as well as supporting advanced editing tasks. This model is aimed at researchers, developers, and AI enthusiasts who want a powerful, accessible foundation for building custom image generation applications or for integrating state-of-the-art visual AI into their own projects.

How to Use

Access Flux 2 through its API or a compatible interface, and input a text prompt or an initial image for editing. Set parameters like resolution, guidance scale, or steps to control output quality. Run the model to generate or edit the image, then iterate on the prompt or settings to refine results. Use multimodal inputs, such as text and image, for combined workflows.

Core Features

Rectified flow Transformer Text-to-image generation Image editing capabilities Multimodal input support Adjustable generation parameters Open-weight availability

Use Cases

  1. 1 Product marketing: Creating brand-consistent ad creatives, hero banners, and multi-language posters.
  2. 2 Creative pipelines: Generating concept art, storyboards, character sheets, and animation keyframes with multi-reference consistency.
  3. 3 Interactive experiences: Developing edge-hosted filters, avatars, and social thumbnails via Workers AI or custom RTX endpoints.
  4. 4 Ad creatives, hero banners, 3D concept art, product renders, interactive filters, avatars, rapid prototyping.

Frequently Asked Questions

What is FLUX 2 Dev?
FLUX 2 Dev is an open-weight rectified flow Transformer model for image generation and editing. It is the developer-focused release of the FLUX 2 model family.
How is FLUX 2 different from FLUX.1?
FLUX 2 introduces a rectified flow Transformer architecture with stronger generation and editing capabilities. It offers better performance, wider resolution support, and new features like multi-reference inputs.
How many steps should I use?
You can use as few as 4-8 steps for faster results, and more steps for higher quality. The recommended step counts are listed in the model documentation and examples.
Does FLUX 2 Dev support multi-reference?
Yes, FLUX 2 Dev supports multi-reference inputs. This allows you to use multiple reference images to guide generation.
Can I run FLUX 2 Dev on a single GPU?
Yes, FLUX 2 Dev is designed to run on a single GPU. Hardware requirements depend on resolution and batch size, so check the repository for specifics.
How to deploy FLUX 2 Dev at the edge?
You can deploy FLUX 2 Dev at the edge using optimized runtimes such as ONNX or TensorRT, with providers like Cloudflare Workers AI. Refer to the deployment guides in the repository.
What resolutions does FLUX 2 Dev support?
FLUX 2 Dev supports a range of resolutions, including higher resolutions with multiple aspect ratios. See the documentation for the full supported resolution list.
How good is FLUX 2 Dev at text rendering?
FLUX 2 Dev has significantly improved text rendering compared to earlier versions. It handles longer and more complex text prompts accurately.
What are best practices for prompting FLUX 2 Dev?
Use clear, descriptive prompts and specify the style, composition, and text you want. Refer to the prompt guides and examples in the model card for the best results.
Where can I find FLUX 2 Dev resources?
Resources are available in the official FLUX GitHub repository and model card. Community guides and Hugging Face pages are also good places to start.