Instructions to use openskyml/deliberate-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/deliberate-openvino with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openskyml/deliberate-openvino", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae_decoder/openvino_model.bin from openskyml/deliberate-openvino: direct link, hf CLI and curl.
- Browser
- Download file 99 MB
-
https://huggingface.co/openskyml/deliberate-openvino/resolve/main/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://openskyml/deliberate-openvino/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/openskyml/deliberate-openvino/resolve/main/vae_decoder/openvino_model.bin
99 MB
- Xet hash:
- c9c9ce3be16850d75c1d852ccd71e4caf5f45b03f10856ce71a8b77f26a79761
- Size of remote file:
- 99 MB
- SHA256:
- 441e94c634f7f8d7ccfe8c23e4b23523c1c5da17c8853660cd3a33c0424b0c4c
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