Instructions to use diffusers-internal-dev/private-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/private-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/private-model", 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.safetensors from diffusers-internal-dev/private-model: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/diffusers-internal-dev/private-model/resolve/refs%2Fpr%2F5/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusers-internal-dev/private-model@refs/pr/5/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusers-internal-dev/private-model/resolve/refs%2Fpr%2F5/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 5a91be61fa7e2352ea4783ce02c1a54b93310708e34f40497d1bcf8ad0085f28
- Size of remote file:
- 335 MB
- SHA256:
- d972e5c4aa354ca9eeee7517bd8b6a7da1c2df2cdf8d657723f689ca1ad65679
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