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
File size: 362 Bytes
e9aa9c2 5e4ede3 e9aa9c2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ---
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
```
|