Instructions to use GraydientPlatformAPI/ether-moonlight-beta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ether-moonlight-beta2 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/ether-moonlight-beta2", 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:
- 4a09973b6ae00ddfc8e8e24bb55bf52e8f4981e49c9c2174eeee2d370b6430d9
- Size of remote file:
- 246 MB
- SHA256:
- 76edc1542e64688adee394ef2e44d9d720ce15c8708a86191e2d4e1f44e1e1b3
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