flux-2-f4c3b42c·2 events·first seen Aliases: FLUX-2, FLUX.2
Researchers propose a training framework for detecting pixel-level image tampering in content generated by modern vision-language models such as ChatGPT, Gemini, and Qwen-Image. The approach combines balanced minibatch sampling and a late-injection strategy to improve out-of-distribution robustness without overfitting to limited new-domain data. The framework outperforms the prior state-of-the-art PIXAR method by 26.1% and 26.8% relative improvement in gIoU and cIoU respectively, evaluated on OOD VLMs including GPT-Images-2.0, Gemini-3.1, FLUX.2, and Seedream 4.5. The work is directly motivated by the growing difficulty of detecting AI-generated image manipulations as generation quality improves.
Hugging Face's Diffusers library has added support for FLUX-2, the successor to Black Forest Labs' FLUX image generation model. The blog post announces integration of the new model into the Diffusers ecosystem, enabling developers to use FLUX-2 through the standard Diffusers API. This represents a tooling and ecosystem update for one of the leading open-weights image generation model families.