Instructions to use fusing/ncsnpp-ffhq-ve-dummy-update with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/ncsnpp-ffhq-ve-dummy-update with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/ncsnpp-ffhq-ve-dummy-update", 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 fusing/ncsnpp-ffhq-ve-dummy-update: direct link, hf CLI and curl.
- Browser
- Download file 7.23 MB
-
https://huggingface.co/fusing/ncsnpp-ffhq-ve-dummy-update/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://fusing/ncsnpp-ffhq-ve-dummy-update/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/fusing/ncsnpp-ffhq-ve-dummy-update/resolve/main/diffusion_pytorch_model.bin
7.23 MB
- Xet hash:
- 18517ec1c2911a4e2c70e9b813a99a47604133d2fb819629e93431d0f7b7c8a7
- Size of remote file:
- 7.23 MB
- SHA256:
- f054a293a829664110093e46f072a74e3b874980c545379015d40fd826ad79d3
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