Model reference · open weights

Z-Image

Available as managed deployment Image drbaph · community Text→image 1 variants 9k dl/mo

Z-Image is an open-weight image model from drbaph. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released bydrbaph
TypeImage models
TaskText→image
Runs withdiffusers
Released2025-11-27
Popularity9k downloads / month
LicenceOpen weights

About

What Z-Image is

This is a quantization of Comfy-Org/z_image_turbo to FP8_E5M2 and FP8_E4M3FN

Read the full model card
PrecisionImage 1Image 2
bf16
fp8_e4m3fn

               

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. 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.

📥 Model Zoo

ModelHugging FaceModelScope
Z-Image-Turbo
Z-Image-BaseTo be releasedTo be released
Z-Image-EditTo be releasedTo be released

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys drbaph-z-image for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (drbaph-z-image below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"drbaph-z-image","prompt":"a red bicycle","size":"1024x1024"}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms