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:
- 94e544ac74228b9e19222231385f7e38bb6d14970650fba81b4f8b5601a0d55c
- Size of remote file:
- 2.13 GB
- SHA256:
- 84d76a0328ee5a1a2a1d466ba7478ab59183e3fea385441528aa4c5d567fd43e
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