Black Forest Labs Releases Open FLUX.2 Image Decoder
This new component is part of a novel transformer-based architecture for text-to-image generation, released under a permissive Apache 2.0 license.
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This new component is part of a novel transformer-based architecture for text-to-image generation, released under a permissive Apache 2.0 license.
The new open-weight model offers a more compact, distilled version of the advanced FLUX architecture for text-to-image and editing tasks.
The open-weight text-to-image model brings a 9-billion-parameter base release to the FLUX.2 Klein family.
The new text-to-image model emphasizes speed and efficiency with a novel architecture and FP8 quantization.
The new 4-billion-parameter model is a distilled version of the powerful FLUX.2 architecture, released under a commercially-friendly Apache 2.0 license.
The new 4-billion-parameter model from Black Forest Labs offers an efficient, transformer-based alternative to latent diffusion for image generation.
The new 9-billion-parameter model uses a Diffusion Transformer architecture, promising higher performance than existing open-source alternatives.
The new 9-billion-parameter text-to-image model uses a novel architecture that operates directly on pixels for faster, more efficient generation.
The developer preview of the next-generation text-to-image architecture promises significant architectural improvements over its predecessor.
The new 12-billion-parameter model, tuned by creative AI platform Krea, focuses on high-quality aesthetic output and prompt fidelity.
Black Forest Labs' 12B rectified-flow model has quietly emerged as the default foundation for open image generation.