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:
- 5789c29731352704d2d830a4338db00337734e6d00c9618c1978102ad9be91b0
- Size of remote file:
- 9.63 GB
- SHA256:
- bdd0ae31d46de9d3f25f7f1d7ff8158505161c32cb6495090230a4d3f6de606c
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