Instructions to use camenduru/test_gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/test_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("camenduru/test_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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6059a78e3f6bd9d1d653d6dbd6b84664d0ed50aa647230ed341a9deb07fe9483
- Size of remote file:
- 3.44 GB
- SHA256:
- f04c184fd6118df0350749589188b17829b912fee74e48f1fb40702cc1a46105
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