from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('tuenguyen/flux_thuy_tien', torch_dtype=torch.bfloat16).to('cuda')
image = pipeline('A photo of THUYTIEN in the office').images[0]

License

Please adhere to the licensing terms as described here.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]

meoconxinhxan/flux_thuy_tien

Flux [dev] DreamBooth - tuenguyen/flux_thuy_tien

Model description

Trigger words

Use it with the 🧨 diffusers library

License

Intended uses & limitations

How to use

Limitations and bias

Training details

meoconxinhxan/
flux_thuy_tien