Instructions to use Sagar18/Diff_modes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sagar18/Diff_modes 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_modes", torch_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:
- 38d4dc6cc7732efffdb661544d2fcd06c14e1ea27c85b43bc999cdc7f51451ab
- Size of remote file:
- 455 MB
- SHA256:
- 719637e539a0893c5a4b51c6a7dd2bee936db1c30d7142458377e48ee495e296
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