Instructions to use 1038lab/SDMatte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1038lab/SDMatte 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("1038lab/SDMatte", dtype=torch.bfloat16, device_map="cuda") 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] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature22523cb
-
Update README.md
Verified signature865308b
-
Update README.md
Verified signatured13f989 -
Create README.md
Verified signatured4bf135
-
Upload 2 files
Verified signature09dc7ca -
Upload 8 files
Verified signature6f84b4b -
initial commit
Verified signature3a09913