This is a GGUF quantized version of FLUX.2 dev. unsloth/FLUX.2 dev GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. Important layers are upcasted to higher precision. Samples FLUX.2 [dev] is a 32 billion parameter rectified flow transformer capable of generating, editing and combining images based on text instructions. For more information, please read our blog post. Key Features 1. State of the art in open text to image generation, single reference editing and multi reference editing. 2. No need for finetuning: character, object and style reference without additional training in one model. 4. Trained using guidance distillation, making FLUX.2 [dev] more efficient. 5. Open weights to drive new scientific research, and empower artists to develop innovative workflows. 6. Generated outputs can be used for personal, scientific, and commercial purposes, as described in the [FLUX \[dev\] Non Commercial License](https://github.com/black forest labs/flux/blob/main/model licenses/LICENSE FLUX1 dev). Usage We provide a reference implementation of FLUX.2 [dev] , as well as sampling code, in a dedicated github repository. Developers and creatives looking to build on top of FLUX.…
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