Instructions to use GraydientPlatformAPI/yam-heaven15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/yam-heaven15 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/yam-heaven15", 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:
- ca6a6dd0ed362210389c4c8e50a2d6f0956c1a3c07ee9d5b3650a95d128eaf84
- Size of remote file:
- 167 MB
- SHA256:
- 161b6d1cf8e08f7ba238a2ed24ff9acb015d76700b82e44958aa4711cbde8fba
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