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:
- 2a5ffe912e10ec2ae1d57f5e7cbd2a1c0d351fb37eab8ff3089b75c8e1f65386
- Size of remote file:
- 5.14 GB
- SHA256:
- 3443b2966f7635689c4ff4ebfaea9b617de684340ce02e17593415f313e93f8f
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