Instructions to use google/ncsnpp-ffhq-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use google/ncsnpp-ffhq-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/ncsnpp-ffhq-256", 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 diffusion_pytorch_model.bin from google/ncsnpp-ffhq-256: direct link, hf CLI and curl.
- Browser
- Download file 263 MB
-
https://huggingface.co/google/ncsnpp-ffhq-256/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://google/ncsnpp-ffhq-256/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/google/ncsnpp-ffhq-256/resolve/main/diffusion_pytorch_model.bin
263 MB
- Xet hash:
- 95e06002bcc4d6eb881fbe5ac84209dbf34cda561fd5c0c1c007cdb9a9fd2942
- Size of remote file:
- 263 MB
- SHA256:
- 086d81c850a2470b8049ba38f922b23b43b0c9c78810fdef5a9644abf524f535
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