Instructions to use GraydientPlatformAPI/yamer9-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/yamer9-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/yamer9-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:
- 4c828d7f069d0b048f6c65cbfe242c0f53323fbb3505ca447343db6493440a6e
- Size of remote file:
- 246 MB
- SHA256:
- 9587b38f471cca74034e7093c508faaf05190c70b26046866866c19ee15d2180
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