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.ben 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.ben
- Command line
-
hf download hf://open1986/019/sapi_videogen/unet/diffusion_pytorch_model.ben
-
curl -L -o diffusion_pytorch_model.ben https://huggingface.co/open1986/019/resolve/main/sapi_videogen/unet/diffusion_pytorch_model.ben
3.44 GB
- Xet hash:
- 9e114ac4ab786ea814eba7aedda8a087ebc396be5cb20564e5f53772e9035562
- Size of remote file:
- 3.44 GB
- SHA256:
- 8b4d531d1ee2827377fa56c36cc95ff96c886a904846cfa7a0d4dc5308562f35
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