Instructions to use yangsui/save_multi_gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yangsui/save_multi_gpu with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("yangsui/save_multi_gpu") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f12f7f10427a3e9104ecf32e11a735b7873c0d7aa3f11ea204618669da03b3f8
- Size of remote file:
- 1.46 GB
- SHA256:
- 092df3689a1c347f89e9949a2b233931542f6647f536d2c72a8fc24449dc2743
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