Instructions to use GraydientPlatformAPI/ether with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ether 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", 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:
- 389c74858d116ec4ed658ba7b040f2ef5897c75bd09dbd8af921d3b3690d5d8f
- Size of remote file:
- 492 MB
- SHA256:
- 4099fcd009749cf1fae028bd101058f97c7b65634bcea46cc92133cf100f5e7a
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