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
Commit History
-
Update README.md
Verified signature05e1b4c
-
Update README.md
Verified signaturec22abec
-
Update README.md
Verified signature936cd71
-
Update README.md
Verified signature231d809 -
Update README.md
Verified signature97447ce -
Upload 1024 ckpts
Verified signature93c0963
-
Update README.md
Verified signature2339fc7 -
Upload weights
Verified signatured56c712
-
initial commit
Verified signature31a3dd2