Instructions to use open1986/040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use open1986/040 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("open1986/040", 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:
- d0d2f62a8bd63dbb704dc5e08db00ec9c701631e3ad957f0151095b7992759d7
- Size of remote file:
- 3.21 GB
- SHA256:
- 30645c1e896742339c119b2ae8be8e88a8f903de78fb2e286d0c34a3302e6822
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