metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: NewYearLamp2
    output:
      url: samples/1727182861777__000001000_0.jpg
  - text: >-
      A single gold-toned hexagonal lantern with a vintage-style design, sitting
      on a wooden table. The lantern features intricate filigree metalwork and
      is decorated with a festive holiday scene of Santa Claus and snowflakes. A
      warm light glows from within, casting a soft glow. The lantern is the size
      of a hand, and behind it, there are other decorative objects, completing
      the festive display. NewYearLamp2
    output:
      url: samples/1727182878199__000001000_1.jpg
  - text: Kids with NewYearLamp2. New Year Christmas tree
    output:
      url: samples/1727182894618__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: NewYearLamp2
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

newyearlamp2

Model trained with AI Toolkit by Ostris

Prompt
A single gold-toned hexagonal lantern with a vintage-style design, sitting on a wooden table. The lantern features intricate filigree metalwork and is decorated with a festive holiday scene of Santa Claus and snowflakes. A warm light glows from within, casting a soft glow. The lantern is the size of a hand, and behind it, there are other decorative objects, completing the festive display. NewYearLamp2

Prompt
Kids with NewYearLamp2. New Year Christmas tree

Trigger words

You should use NewYearLamp2 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('life/newyearlamp2', weight_name='newyearlamp2.safetensors')
image = pipeline('NewYearLamp2').images[0]
image.save("my_image.png")

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