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LatestBlack Forest Labs2-dev
Black Forest LabsText → Image

Black Forest Labs Releases Open-Source FLUX.2 Image Model

The developer preview of the next-generation text-to-image architecture promises significant architectural improvements over its predecessor.

Nov 22, 2025
Major releaseOther
FLUX.2 [dev]

Black Forest Labs has released FLUX.2-dev, a powerful new open-weight model for text-to-image generation and image editing. This initial release is presented as a developer preview, inviting the open-source community to experiment with and provide feedback on the next-generation architecture.

FLUX.2 is positioned as the successor to the company's FLUX.1 architecture, incorporating what the lab describes as novel components and improved training strategies. The model aims to push the boundaries of image quality and prompt adherence in open-source AI, offering a new foundation for a rapidly evolving field.

A New Foundation for Imaging

As a developer release, FLUX.2 is not a polished final product but a foundational tool for researchers and creators. The model is available for download on Hugging Face, where developers can explore its capabilities for both generating new images from text prompts and editing existing ones. The official repository contains the weights and basic usage instructions.

The release of a major new image architecture provides a fresh alternative to established models. It has the potential to spark new innovations in tooling, fine-tuning techniques, and creative applications across the open-source ecosystem.

Sources

  • black-forest-labs/FLUX.2-dev

    Hugging Face

    Visit
OlderTencent Releases HunyuanVideo 1.5 Generation ModelTencent · Text → Video · 11 months agoNewerAlibaba Releases Z-Image-Turbo, A Fast Open Image ModelQwen · Alibaba · Text → Image · 11 months ago

Get the model

Hugging Face

Specs

Size64.4 GB
PrecisionBF16
ArchitectureFlux2Pipeline
LicenseOTHER
Downloads332.4K
Likes2.5K

Can you run it?

Needs a workstation GPU (48 GB) at FP8.

  • BF16 (as published)

    80 GB GPU (A100 / H100) · 128 GB Mac Studio

    65.4 GB
  • FP8

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    33.2 GB
Your machine
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Image EditingText → Image

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