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 Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from GraydientPlatformAPI/ether: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/GraydientPlatformAPI/ether/resolve/22ac7bba8ebf3298c0b921101dc9f35aca6deeaa/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/ether@22ac7bba8ebf3298c0b921101dc9f35aca6deeaa/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/ether/resolve/22ac7bba8ebf3298c0b921101dc9f35aca6deeaa/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 389c74858d116ec4ed658ba7b040f2ef5897c75bd09dbd8af921d3b3690d5d8f
- Size of remote file:
- 492 MB
- SHA256:
- 4099fcd009749cf1fae028bd101058f97c7b65634bcea46cc92133cf100f5e7a
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