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:
- 4d6b29a3f8240a946eef108676b5678828098467c9d38e5906f15f4c5f181f70
- Size of remote file:
- 68.4 MB
- SHA256:
- 97b966855ec6f36e8b766dc6efac3542f8d6d1878ebeb573eaa3e4d09820a2ba
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