drbaph/Z-Image-Turbo-FP8
This is a quantization of Comfy-Org/z_image_turbo to FP8E5M2 and FP8E4M3FN </h1>
<h1 align="center">⚡️- Image<br><sub><sup>An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer</sup></sub></h1>
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                <a href="http://github.com/Tongyi-MAI/Z-Image/blob/main/ZImageReport.pdf" target="_blank"><img src="https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv" height="21px"></a>
Welcome to the official repository for the Z-Image（造相）project!
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✨ Z-Image
Z-Image is a powerful and highly efficient image generation model with 6B parameters. It is currently has 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 for image editing tasks. It supports creative image-to-image generation with impressive instruction-following capabilities, allowing for precise edits based on natural language prompts.