Instructions to use GraydientPlatformAPI/waishuffle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/waishuffle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/waishuffle", 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:
- 0a09a39a40669a7317dfab1e66933f8cfcfa400728a09b67e5680cd5352a4bd9
- Size of remote file:
- 5.14 GB
- SHA256:
- 55ba49847f6865219f0efc4f5b7ad37ff9e91c32453396be3d8d22bc1cecf2a3
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