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:
- 55fa7e73a0e3fcd4f669db95170654fe1670224778a1470bbc5ebd6ae1365875
- Size of remote file:
- 167 MB
- SHA256:
- c80302593a993e401e5d8382ab643dabb8ba542693db6b1886686f5918a67757
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