Flux2 DreamBooth LoRA - Jammies-io/flux2_ibte_university_FULL

Model description

These are Jammies-io/flux2_ibte_university_FULL DreamBooth LoRA weights for black-forest-labs/FLUX.2-dev.

The weights were trained using DreamBooth with the Flux2 diffusers trainer.

Quant training? FP8 TorchAO

Trigger words

You should use A photo of IBTE university campus 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.2", torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Jammies-io/flux2_ibte_university_FULL', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('A photo of IBTE university campus, sunny day, 8k resolution').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]