Instructions to use csbowei/ART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use csbowei/ART 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.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("csbowei/ART") 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 1024 ckpts
Browse files
art_demakeup_lora_1024.safetensors
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oid sha256:cb01b147a091a1c6901185d820dfb50d1092992975349934a3c054bd89bd255e
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art_transfer_lora_1024.safetensors
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oid sha256:3e69e1f039e8ded30db12274b53efcbdfc0fe3dd3e6d27f1e0f525dc90397e6c
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size 179400832
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