Instructions to use stablediffusionapi/ether-real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ether-real with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/ether-real", 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:
- 351ffd464d29de66edeac93634390b436ce3a4e673dc40fb82f6ca1e09d19471
- Size of remote file:
- 3.44 GB
- SHA256:
- b63e7e1fa2cbeb5d61bb94863cb2f03a9e46dc8b6033bfa1203ad84158975939
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