Diffusers welcomes FLUX-2

Back to Articles Welcome FLUX.2 - BFL’s new open image generation model 🤗 Published November 25, 2025 Update on GitHub Upvote 178 +172 YiYi Xu YiYiXu Follow Daniel Gu dg845 Follow Sayak Paul sayakpaul Follow Alvaro Somoza OzzyGT Follow Dhruv Nair dn6 Follow Aritra Roy Gosthipaty ariG23498 Follow Linoy Tsaban linoyts Follow Apolinário from multimodal AI art multimodalart Follow FLUX.2 is the recent series of image generation models from Black Forest Labs, preceded by the Flux.1 series. It is an entirely new model with a new architecture and pre-training done from scratch! In this post, we discuss the key changes introduced in FLUX.2, performing inference with it under various setups, and LoRA fine-tuning. 🚨 FLUX.2 is not meant to be a drop-in replacement of FLUX.1, but a new image generation and editing model. Table of contents FLUX.2 introduction Inference with Diffusers Advanced Prompting LoRA fine-tuning FLUX.2: A Brief Introduction FLUX.2 can be used for both image-guided and text-guided image generation. Furthermore, it can take multiple images as reference inputs, while producing the final output image. Below, we briefly discuss the key changes introduced in FLUX.2. Text encoder First, instead of two text encoders as in Flux.1, it uses a single text encoder — Mistral Small 3.1. Using a single text encoder greatly simplifies the process of computing prompt embeddings. The pipeline allows for a max_sequence_length of 512. Instead of using a single-layer output for the p...