Instructions to use stablediffusionapi/ether-real-mix-31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ether-real-mix-31 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-mix-31", 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:
- 22055dc8b42575960ef111b647f3f6f59b01655781c406306af556ec2fe42072
- Size of remote file:
- 167 MB
- SHA256:
- 9aa50edfcf30ba7d8521634adcbaafcc0df75a51df8c5546cb1cfe9027af8918
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.