Instructions to use ezhoureal/flux_aura_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ezhoureal/flux_aura_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ezhoureal/flux_aura_style") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- c42356abffa678e3363caea759d1f5aaf4f37d169d36e4c9558512208ba505f6
- Size of remote file:
- 137 kB
- SHA256:
- 1f479ac19dd1dfa6a5a9c9fd9598236a62f31b2de6399c1480b13ae4339995ab
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