Instructions to use kebab111/midna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kebab111/midna with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kebab111/midna", 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:
- c68379f0d33d3cad64c8f572c0da13fcfef4924a3a52dad353edefa6dbc014db
- Size of remote file:
- 492 MB
- SHA256:
- aea4eb1a070cabaf5320eb319f790f5bdb811ef60d42e4cceb74417de278ecf4
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