Instructions to use philz1337x/cybervision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use philz1337x/cybervision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("philz1337x/cybervision", 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/diffusion_pytorch_model.bin from philz1337x/cybervision: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/philz1337x/cybervision/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://philz1337x/cybervision/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/philz1337x/cybervision/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 602c8c8d798aaa75df0f42b381d2de5cd1bc7f4433baf95384f6c5a7f04ad5c7
- Size of remote file:
- 335 MB
- SHA256:
- 42edb1f7c20225f75c4290f0377d6a5268e012232689b17790517aa40cc582c7
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