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:
- e0a7b6205503272cf4c7c16c71e8a3c6375a159296a898fc42827c9913e7666c
- Size of remote file:
- 1.46 GB
- SHA256:
- 6d454e4dfe636d6a976c3065dbf84416b90891db95f610a9e48e471365d25740
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