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:
- be2700d60348f8f9a1ad1f74e93a69b9d9e87525c1fde4d6439aeaa232f4c858
- Size of remote file:
- 1.46 GB
- SHA256:
- 5b4252506f73b47e67c08b3712410dfad0fd3f87e8c66e3dc3c0b005239cf6c1
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