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:
- f8bcfe4ff499dbae32ce9644755d47f1da00f7cff57db9b038d32fbed5c56b0c
- Size of remote file:
- 1.46 GB
- SHA256:
- c1fbcd5bd3bbf020277609d10e33f8b75f172fb7bc5b46a15003ff3bbddedfe9
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