How did I miss this?! Bonsai isn’t just an LLM family. Back in May, PrismML released Bonsai Image 4B, a crazy low-bit version of FLUX.2 Klein 4B designed to run locally on 🍎 iPhones. Look at this 🎨 FLUX.2 Klein 4B transformer 💾 FP16: 7.75GB 🌳 Ternary Bonsai: 1.21GB And the entire Apple deployment payload, including its compressed text encoder + VAE, is only: 🔥 3.88GB 📱 iPhone 17 Pro Max 🧠 A19 Pro / 12GB unified memory 🖼️ 512×512 ⚡ 9.4 sec/image 📲 MLX Swift ☁️ No cloud 💾 Bomsai Studio (App Store) M4 Pro: ~5.8 sec/image. No cloud. The ~4B diffusion transformer is paired with a 4-bit Qwen3-4B text encoder, which gets unloaded after the prompt is encoded to save memory. And there’s also 🍎 Mac / iPhone / iPad support 🟢 low-bit Gemlite builds for Nvidia GPUs 🔓 Apache 2.0 This is completely separate from the Bonsai 2 27B LLM I’ve been posting about. PrismML took a 7.75GB FLUX transformer and crunched it down to 1.21G and put image generation on an iPhone. 👀 And somehow I missed this for 4 months.