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:
- e7050ece9e6f71beca2cd4d9f61256fb4aae3905dd9441a534407a2520c832d0
- Size of remote file:
- 2.91 GB
- SHA256:
- 3a3d4b12c66e2383bdf7ad13077082d5a100944375f2e23fcb04c5b7103a0e79
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