metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A golden coated lamp on the wall of a castle,  scandinavian
    output:
      url: samples/1737119898741__000000500_0.jpg
  - text: A wooden-colored wall-lamp in a modern house, scandinavian
    output:
      url: samples/1737119928363__000000500_1.jpg
  - text: A scandinavian lamp in a brutalist living room
    output:
      url: samples/1737119957986__000000500_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: scandinavian
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md

refurnish-lora

Model trained with AI Toolkit by Ostris

Trigger words

You should use scandinavian to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them 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('None', weight_name='refurnish-lora')
image = pipeline('A golden coated lamp on the wall of a castle,  scandinavian').images[0]
image.save("my_image.png")

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