Model reference · open weights
Z-Image-De is an open-weight image model from ostris. 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
| Maker | ostris |
|---|---|
| Type | Image models |
| Task | Text→image |
| Parameters (lead) | 6.2B |
| Runs with | diffusers |
| Based on | Tongyi-MAI/Z-Image-Turbo |
| Released | 2025-12-04 |
| Popularity | 3k downloads / month |
| Licence | Open weights |
About
This is a de-distilled version of Tongyi-MAI/Z-Image-Turbo. It was fine tuned on images generated by Tongyi-MAI/Z-Image-Turbo in order to break down the turbo distillation. It can be used to train LoRAs on top of that should remain compatability with the base model, or it can be continued to finetune well beyond what you could do with the turbo model with the ostris/zimage_turbo_training_adapter.
There is a ComfyUI version as well as a diffusers based version in the repo.
This can be trained on directly without an adapter. It can also be used for inference directly. For inference, use a low CFG (2.0 - 3.0) and 20-30 steps. It seems to work well with CFG normalization as well.
It wasnt released yet, as of the time of this writing, and I am impatient. :)
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys z-image-de for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (z-image-de 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":"z-image-de","prompt":"a red bicycle","size":"1024x1024"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.