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
Move evaluation assets under eval input and output folders
Browse files- .gitattributes +8 -0
- {eval_data β eval/input}/eval01.jpg +0 -0
- {eval_data β eval/input}/eval02.jpg +0 -0
- {eval_data β eval/input}/eval03.jpg +0 -0
- {eval_data β eval/input}/eval04.webp +0 -0
- {output_sync β eval/output}/stylized.png +0 -0
- {output_sync β eval/output}/stylized02.png +0 -0
- {output_sync β eval/output}/stylized03.png +0 -0
- {output_sync β eval/output}/stylized04.png +0 -0
.gitattributes
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