Instructions to use Sagar18/diff_modes10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sagar18/diff_modes10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sagar18/diff_modes10", 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:
- 1ee90f030fc573694fb1d812dd3417277b1d401162cb8f71dbf6b582262fb332
- Size of remote file:
- 455 MB
- SHA256:
- eb6147da69e9695c5758b6f63bbe43107b391ea3ba34d889ac5e278612a3a2f6
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