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 weights
Browse files
art_demakeup_lora_512.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:64558e70284a333802d5e63163bad8727702d7de6053989df004ea9d2724bd92
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art_transfer_lora_512.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02edfe6bc9a443970eef4490c05d06a6b8462eb7ecc34ced9d0cc5800190732c
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size 179400832
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