---
license: apache-2.0
base_model:
- Tongyi-MAI/Z-Image-Turbo
pipeline_tag: text-to-image
library_name: diffusers
---

# Z-Image-De-Turbo


![z-image_00122_](https://cdn-uploads.huggingface.co/production/uploads/643cb43e6eeb746f5ad81c26/zII8upz0bi7_l3u-JKgb2.png)

This is a de-distilled version of [Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo). It was fine tuned on images generated by
[Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/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](https://huggingface.co/ostris/zimage_turbo_training_adapter).

There is a ComfyUI version as well as a diffusers based version in the repo. 

### Usage
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. 

### Why Not Just Use the Base Model?
It wasnt released yet, as of the time of this writing, and I am impatient. :)