Flux [dev] DreamBooth - yangmjie/trained-flux

Model description

These are yangmjie/trained-flux DreamBooth weights for black-forest-labs/FLUX.1-dev.

The weights were trained using DreamBooth with the Flux diffusers trainer.

Was the text encoder fine-tuned? False.

Trigger words

You should use a photo of sks dog to trigger the image generation.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('yangmjie/trained-flux', torch_dtype=torch.bfloat16).to('cuda')
image = pipeline('A photo of sks dog in a bucket').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]

yangmjie
/

trained-flux