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:
- eb89bdcd0c245f2c329a67919ef2e6f4d83b61dc2f3893b9696c24b89cd4fe49
- Size of remote file:
- 246 MB
- SHA256:
- 6f2eff501b3ef5398098c5de59d1bea8474f623b2bbd2c1826292702ecafa08a
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