Instructions to use Sgiuowa/mistoon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sgiuowa/mistoon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sgiuowa/mistoon", 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:
- 1524c5ba5d2df3c9fdf6bcfaa4842cd8c73c583632ea495d9a4f3510341db4ee
- Size of remote file:
- 492 MB
- SHA256:
- 9f213619ce404d6b0291dbe9a5ce761cdc6d205338a8950408ee044c8e29e620
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