Instructions to use sagetae/single_GPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sagetae/single_GPU with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sagetae/single_GPU", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4105608126fdcc4b5e4c06be2ee6706e5433c177605dac19ef32221217a4bde2
- Size of remote file:
- 6.88 GB
- SHA256:
- 6255d9b83f652a9fa59a91c7f9ae6b1c008f187b69387aedf6be7a1cc34b88cc
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