Instructions to use ezhoureal/aura_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ezhoureal/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,black-forest-labs/FLUX.2-klein-4B,stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ezhoureal/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:
- 2fc1fa111bae38f576f984704f725ce278c7afe1d158f19be1e32fdb0a4f1381
- Size of remote file:
- 176 kB
- SHA256:
- e34e2e0a4dcca795b50f0c1b1a31e89f9039b38bb3e5f50f31b3d3e923794688
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