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:
- 8e504f58ee763449d5f5926d4d7aa763198f95eb1ee8b6c6316239b7ee331a4c
- Size of remote file:
- 3.44 GB
- SHA256:
- ace6054261216af5142161c1c674c3d4f603c578f99aec02e77e6884c3076082
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