Images generated from Ternary Bonsai Image 4B Today we’re releasing Bonsai Image 4B , a family of compact image-generation models designed to run high-quality diffusion inference on local hardware: from laptops to phones. Bonsai Image 4B comes in two variants: 1-bit Bonsai Image 4B uses binary {−1, +1} transformer weights with an FP16 group-wise scaling factor, giving 1.125 effective bits per weight. It targets maximum compression and is the right fit when memory pressure, bandwidth, and the deployment footprint are the primary constraints. Ternary Bonsai Image 4B uses {−1, 0, +1} transformer weights with an FP16 group-wise scaling factor, giving 1.71 effective bits per weight. The additional zero state gives the model more representational flexibility, improving visual quality and prompt fidelity while remaining extremely compact.…