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---
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](https://github.com/ostris/ai-toolkit)
<Gallery />
## 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](/life/newyearlamp2/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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