🔢 FP8 Quantized Version ComfyUI Compatible This is the fp8 e4m3fn scaled / fp8 e4m3fn and fp8 e5m2 scaled / fp8 e5m2 quantized versions of the Z Image model, optimized for ComfyUI workflows. These quantized formats significantly reduce VRAM requirements while maintaining high image quality, making the model more accessible for consumer grade GPUs. Quantization Formats: fp8 e4m3fn scaled fp8 e4m3fn fp8 e5m2 scaled fp8 e5m2 Comfyui Workflow 📸 Example Outputs BF16 / fp8 e4m3fn seed: Steps:30 CFG:4 Euler BF16 / fp8 e4m3fn scaled seed: Steps:30 CFG:4 Euler Benefits: Reduced memory footprint (~50% VRAM savings) Faster inference times Full ComfyUI compatibility Minimal quality degradation ⚡️ Image An Efficient Image Generation Foundation Model with Single Stream Diffusion Transformer & 160; & 160; & 160; & 160; & 160; 🎨 Z Image Z Image is the foundation model of the ⚡️ Image family, engineered for good quality, robust generative diversity, broad stylistic coverage, and precise prompt adherence. While Z Image Turbo is built for speed, Z Image is a full capacity, undistilled transformer designed to be the backbone for creators, researchers, and developers who require the highest level of…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy