[!NOTE] This is a GGUF quantized version of Z Image Turbo. unsloth/Z Image Turbo GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. Important layers are upcasted to higher precision. Samples ⚡️ Image An Efficient Image Generation Foundation Model with Single Stream Diffusion Transformer & 160; & 160; & 160; & 160; & 160; & 160; & 160; & 160; & 160; Welcome to the official repository for the Z Image（造相）project! ✨ Z Image Z Image is a powerful and highly efficient image generation model with 6B parameters. Currently there are three variants: 🚀 Z Image Turbo – A distilled version of Z Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations). It offers ⚡️sub second inference latency⚡️ on enterprise grade H800 GPUs and fits comfortably within 16G VRAM consumer devices . It excels in photorealistic image generation, bilingual text rendering (English & Chinese), and robust instruction adherence. 🧱 Z Image Base – The non distilled foundation model. By releasing this checkpoint, we aim to unlock the full potential for community driven fine tuning and custom development. ✍️ Z Image Edit – A variant fine tuned on Z Image specifically f…
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