Instructions to use open1986/019 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use open1986/019 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("open1986/019", 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:
- 4a80591b38715901487b75e0d59f342715c8f003a35f46e9cc0bb9f0280833ae
- Size of remote file:
- 335 MB
- SHA256:
- 56c478c52df5a64011cf2db6f8eb4f00641fac134f1a7210e0c9964026b4df0c
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