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z-tao

Model trained with AI Toolkit by Ostris

Prompt
A person in a korean rich hotel Z.TAO, pink-purple hair color, white suit best quality, real photo, 26K, Jungkook earrings
Prompt
A person in a thai cafe Z.TAO with rainbow hair color, yellow suit best quality, real photo, 26K, Jungkook hairstyle
Prompt
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

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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

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