Instructions to use Efficient-Large-Model/SANA-WM_bidirectional-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Efficient-Large-Model/SANA-WM_bidirectional-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Efficient-Large-Model/SANA-WM_bidirectional-diffusers", 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 vae/diffusion_pytorch_model.safetensors from Efficient-Large-Model/SANA-WM_bidirectional-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/Efficient-Large-Model/SANA-WM_bidirectional-diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Efficient-Large-Model/SANA-WM_bidirectional-diffusers/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Efficient-Large-Model/SANA-WM_bidirectional-diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
2.44 GB
- Xet hash:
- 81ae5646cf3ecdb1e4b0ce027f408abde35812a214cceeb7c659a3b33bd1b3a1
- Size of remote file:
- 2.44 GB
- SHA256:
- 107cc359e3c4bce18c53d98686f4b3fe10c4207b6665d89b38b0741270514bfb
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