Flux DreamBooth LoRA - timlenardo/timl_varied_10_FLUX.1-dev_dreambooth_lora_prodigy_and_validation_1000_steps_ohwx

Model description

These are timlenardo/timl_varied_10_FLUX.1-dev_dreambooth_lora_prodigy_and_validation_1000_steps_ohwx DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.

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

Was LoRA for the text encoder enabled? False.

Trigger words

You should use photo of ohwx man to trigger the image generation.

Download model

Download the *.safetensors LoRA 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('timlenardo/timl_varied_10_FLUX.1-dev_dreambooth_lora_prodigy_and_validation_1000_steps_ohwx', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('photo of ohwx man wearing a hat').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

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]

timlenardo
/

timl_varied_10_FLUX.1-dev_dreambooth_lora_prodigy_and_validation_1000_steps_ohwx