README.md

metadata

license: other
library_name: diffusers
tags:
  - text-to-image
  - diffusers-training
  - diffusers
  - lora
  - flux
  - flux-diffusers
  - template:sd-lora
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: lego set in style of TOK

Flux DreamBooth LoRA - merve/flux-lego-lora-dreambooth

Model description

These are merve/flux-lego-lora-dreambooth 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 lego set in style of TOK 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('merve/flux-lego-lora-dreambooth', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('lego set in style of TOK, a horse eating a ramen').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.