Instructions to use jmorthorst/misomiso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jmorthorst/misomiso with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jmorthorst/misomiso", 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:
- a23c55741a46573de7d4a3bf516bbd343b78f02cda2df54a5c068aafbb87029f
- Size of remote file:
- 492 MB
- SHA256:
- d4b662408d4ff773962f506a4b113ae3c90636279d73a522415055fa9403064b
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