Instructions to use GraydientPlatformAPI/cwal9k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cwal9k 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/cwal9k", 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:
- b0d5511ba1c0b336e2b773f4859375d753ea5973d5199a694b0884ea432b6f3d
- Size of remote file:
- 246 MB
- SHA256:
- 2859f56c346e9899484a6f211532ac03954b21a72b750059b10319a9c100197e
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