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:
- 8a2465dbdd00f6dedfa6387063f75952b314caf3e75eb7242025d1efe2aa7c8e
- Size of remote file:
- 563 Bytes
- SHA256:
- 3ba0c0ea099534ec5e9244ae9d55325d6911320c74e98590fa171b6a66db1111
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