Instructions to use Horosheff/maya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Horosheff/maya with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Horosheff/maya", 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:
- 00da0603d52944c798ce4690373cff08a01e828f26ff5caa047531e1927eaa9e
- Size of remote file:
- 492 MB
- SHA256:
- 5356d97789073df587cc92ad80d82a11b011da72d1a4c054c60826426a35c53a
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