metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: 'A green dragonfly-themed tiffany_lamp lamp '
    output:
      url: samples/1732806394500__000001000_0.jpg
  - text: Three different tiffany_lamp Tiffany lamps next to each other on a table.
    output:
      url: samples/1732806405243__000001000_1.jpg
  - text: A giant tiffany_lamp towering over a village
    output:
      url: samples/1732806416028__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: tiffany_lamp
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

tiffanylamp

Model trained with AI Toolkit by Ostris

Prompt
Three different tiffany_lamp Tiffany lamps next to each other on a table.

Prompt
A giant tiffany_lamp towering over a village

Trigger words

You should use tiffany_lamp 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('sohvren/tiffanylamp', weight_name='tiffanylamp.safetensors')
image = pipeline('A green dragonfly-themed tiffany_lamp lamp ').images[0]
image.save("my_image.png")

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