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
- Draw Things
- DiffusionBee
- Xet hash:
- dc2b647e03122664fe05b249755879f1461480a83d3054d1bb09a82556fcb276
- Size of remote file:
- 1.46 GB
- SHA256:
- dd54da5159d2f2032238f6ea54750863c0ac5dd3e94b198fb2172d4f05a7f2f1
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