Instructions to use dogeplusplus/stable-sam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dogeplusplus/stable-sam with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dogeplusplus/stable-sam", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of samruane cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 530fec74ec518fabc7ecce26ba0922c15266a424575e757c181e5ca77a5011e0
- Size of remote file:
- 4.33 MB
- SHA256:
- 62a2fbbf2a2a77edcaa35cf0a3eb964063aff48b078b4c76815c6a6b2984b953
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