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:
- 473c25f2ef20e90b7027fd162d3fda6557c205e0dcc5900f503e72c026ef93ed
- Size of remote file:
- 1.46 GB
- SHA256:
- 77bad6f9730b8b9b4d16cf83d1dee36aa7e2f36772d0eaf30f891e3ce7a088b2
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