Flux [dev] DreamBooth - legwyn/4

Model description

These are legwyn/4 DreamBooth weights for hf-internal-testing/tiny-flux-pipe.

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

Was the text encoder fine-tuned? False.

Trigger words

You should use dog to trigger the image generation.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('legwyn/4', torch_dtype=torch.bfloat16).to('cuda')
image = pipeline('dog').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]