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 Settings
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| tags: | |
| - pytorch | |
| - diffusers | |
| - stable-diffusion | |
| - text-to-image | |
| - sam-the-cat | |
| widget: | |
| - text: a photo of samruane cat | |
| # sam | |
|  | |
| ## Usage | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| pipeline = StableDiffusionPipeline.from_pretrained('dogeplusplus/stable-sam') | |
| image = pipeline().images[0] | |
| image | |
| ``` | |