Instructions to use miittnnss/xoakkeyy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use miittnnss/xoakkeyy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("miittnnss/xoakkeyy", torch_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
- Xet hash:
- 305ec6b1a1c6ef5b43a96225d40923966bff67d9c8dacb50768991a7ae3956d0
- Size of remote file:
- 53.1 MB
- SHA256:
- cf87b5a5bd66e5bb38bfd3a42105de1ee57ec381b17b4a6989cecebe6b50a10e
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