Instructions to use melt200x/kotos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use melt200x/kotos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("melt200x/kotos", 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:
- 141449c6e368c70caf3d74d7d5a25541048255ba6f12e9b97908deea551deda2
- Size of remote file:
- 99.1 MB
- SHA256:
- dbe9f126f91cf9fc7667321a3d98eed06cc030d475546bcc04dd6cc18546883f
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