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", torch_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:
- 6f4f28f6e21c031225b1a76b0bbd06039de0c22e8c816766c50ddd1c306bb6ef
- Size of remote file:
- 246 MB
- SHA256:
- d00a68b25c5a245f3ca59897aaf1b4d23174589a7c7ebd8fe95809cd5ff851e9
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