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
Upload folder using huggingface_hub
Browse files
flux2_klein/checkpoint-002000/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e6ba381fda92981c4860d2ea67becb0544755beadb01693637a9ac88abf401f
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size 3942824
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flux2_klein/checkpoint-002000/training_manifest.json
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{
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"model_key": "flux2_klein_base",
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"model_id": ".hf_models/flux2-klein-base-4b",
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"trainer": "flux2_paired_edit_lora",
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"step": 2000,
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"requires_source_image": true,
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"conditioning": "source_latents_concatenated_to_noisy_target_latents",
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"lora_rank": 8,
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"lora_alpha": 8,
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"dataset_train_dir": "dataset/train",
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"hf_endpoint": "https://hf-mirror.com"
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}
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flux2_klein/train.log
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