Instructions to use GraydientPlatformAPI/wasabi10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/wasabi10 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/wasabi10", 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:
- bc1d56adb5c9b23bb60e6e0f4acf51c0f49894a2728725f86a7bde6b067dae31
- Size of remote file:
- 246 MB
- SHA256:
- 9f5ea1d86f65c102d474c13aab4a271db92f40bfa1018f50d3b299de8de7d7d6
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