Instructions to use Xiara/xiara-flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xiara/xiara-flux-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Xiara/xiara-flux-lora") prompt = "Screenshot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
xiara-flux-lora

- Prompt
- Screenshot

- Prompt
- -

- Prompt
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Model description
Personal FLUX LoRA trained on Xiara Moon. Trigger word: xiaramoon-lora
Trigger words
You should use xiaramoon-lora to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Xiara/xiara-flux-lora
Base model
black-forest-labs/FLUX.1-dev