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
- Draw Things
- DiffusionBee
- Xet hash:
- 0c3e58d47db47c49cb5f18b1f2818fac04488a489881d4bfbd43284f4dfe3d05
- Size of remote file:
- 167 MB
- SHA256:
- 741ac65472aa77aab4390127dd730f09f2d7396f5329ed3015cced9aca700261
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