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:
- cdb47066277318911cb31520621dc83e56c6b0ebb5daff548e25a16f0d82275e
- Size of remote file:
- 5.14 GB
- SHA256:
- a9365ce1c5861b395f437c40a00c517f5732f88f84898e5b55a028288e176118
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