Instructions to use GraydientPlatformAPI/thick-coating-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/thick-coating-xl 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/thick-coating-xl", 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:
- 648301d929cce8fa607dc36e7e6de2dc9298a4f1de860e5c29200c106f428323
- Size of remote file:
- 1.39 GB
- SHA256:
- 3d32ad887674324315f01fd7d3330b243fcf1f4f8de436edbcb0e24aed72d222
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