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
Download sapi_videogen/unet/diffusion_pytorch_model.bin from open1986/019: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/open1986/019/resolve/main/sapi_videogen/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://open1986/019/sapi_videogen/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/open1986/019/resolve/main/sapi_videogen/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- da3dfac55ddb4a839ff4bc1993657a630bae356177b27d97c9d3e1578a43e424
- Size of remote file:
- 3.44 GB
- SHA256:
- 440434726b101d466797d3ca911ee2c1e897c9db2c6329540df4574bb28d90bc
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