Instructions to use GraydientPlatformAPI/etherreal31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/etherreal31 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/etherreal31", 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
- Draw Things
- DiffusionBee
- Xet hash:
- f26bc4311e0a2edf3630596d71319c10c27b6b6b0db72492650640459aa9cee9
- Size of remote file:
- 167 MB
- SHA256:
- f10a24dd137706821c94e1846fc77b36bf5c7461cb7079cee1afc6913f5ef2e8
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