Instructions to use Vijish/alphamask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vijish/alphamask with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Vijish/alphamask") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e4041f4f324053815dc7d237bb5d44abb539b3be7a66f15649a727a1a087c1d1
- Size of remote file:
- 1.46 GB
- SHA256:
- a9e94f58dfdfbf0dc4dff76c7eb7b836d9056a8580a2bed57ffd5811f213ae6d
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