---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: A person in a korean rich hotel Z.TAO,  pink-purple hair color, white suit
        best quality, real photo, 26K, Jungkook earrings
    output:
        url: samples/1732790138571__000001551_0.jpg
-   text: A person in a thai cafe Z.TAO with rainbow hair color, yellow suit best
        quality, real photo, 26K, Jungkook hairstyle
    output:
        url: samples/1732790168442__000001551_1.jpg
-   text: A person in a russian forest Z.TAO with dark grey hair color, red-orange
        suit, best quality, real photo, 26K, high details, happy face
    output:
        url: samples/1732790198346__000001551_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Z.TAO
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---

# z-tao

<Gallery />

## Trigger words

You should use `Z.TAO` to trigger the image generation.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/openfree/z-tao/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/z-tao', weight_name='z-tao.safetensors')
image = pipeline('A person in a korean rich hotel Z.TAO,  pink-purple hair color, white suit best quality, real photo, 26K, Jungkook earrings').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)