Instructions to use GraydientPlatformAPI/ether-pdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ether-pdxl 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-pdxl", 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:
- d0da60c461d30c7a6abcf001e8decc2a7fc800f7f8d7c67a159d26f711e953b4
- Size of remote file:
- 1.39 GB
- SHA256:
- 2acd4052707ac9ca025970048cb52f287cf32e481a251368fb2f348d3594a59d
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