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---
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
language:
- en
tags:
- flux
- diffusers
- lora
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
instance_prompt: Birdcage
widget:
- text: >-
neon Maserati Birdcage driving at sunset
output:
url: https://generated-images.weights.gg/cm4xapxa410s8gh17dqkv86xk/lora_image_1.webp
---
# Maserati Birdcage Flux LoRA
Trained on Weights.gg.
Used 15 pictures of the Maserati Birdcage 75th Concept.
## Trigger words
You should use `Birdcage` to trigger the image generation.
## 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.float16).to('cuda')
pipeline.load_lora_weights('fazemasta/birdcage', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
```
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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