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:
- 956fcade84156b91dfcd1675126a8f49c189f572f2a2315b8674b23585553705
- Size of remote file:
- 2.91 GB
- SHA256:
- de75399a348aedf7593d4bfa9c111955654c1892c6c37a1f70428a6dda4123fd
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