Instructions to use open1986/014 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use open1986/014 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("open1986/014", 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:
- a2b16e48e66105214541d6134498a5ece57186176b2dd3cce586cabd53a3a7e1
- Size of remote file:
- 5.11 GB
- SHA256:
- 11fe06e22364b823dfeedc275912336b932b32a293a0b2f35ffac071990cc4de
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