| | --- |
| | license: apache-2.0 |
| | base_model: |
| | - Tongyi-MAI/Z-Image-Turbo |
| | pipeline_tag: text-to-image |
| | library_name: diffusers |
| | --- |
| | |
| | # Z-Image-De-Turbo |
| |
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| |  |
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| | 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. :) |
| |
|
