Instructions to use yangsui/save_multi_gpu_fp32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yangsui/save_multi_gpu_fp32 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("yangsui/save_multi_gpu_fp32") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 574e70edeaa7b71153bf4b44d7dd38458cc0ec1cd6f14e16d753efe125d1ba95
- Size of remote file:
- 2.91 GB
- SHA256:
- 91eb6ddf3b325a43da1f8242b2f61a7e257b7aaf28001329e50fc3ab69704da9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.