Instructions to use stablediffusionapi/ether-blu-mix-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ether-blu-mix-6 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-blu-mix-6", 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:
- 0f65ccb936156b4df8bd5a8f26417d10bcc95705e247587a8874cc3829a51000
- Size of remote file:
- 246 MB
- SHA256:
- 95eaa46492901bad432c6f46ef32503d1249be39ef357a4db3f2465cdcdaee66
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