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:
- ecc5d1862a473db47d87e48c2153c71436de00b5d97c993f175752454ac78b0a
- Size of remote file:
- 563 Bytes
- SHA256:
- 6b3c85c511dfd7df238c4f87dca15ec38a1a1aef9dc395086d5d398356ebe33f
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