Instructions to use nvidia/difix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/difix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/difix", 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 nvidia/difix: direct link, hf CLI and curl.
- Browser
- Download file 339 MB
-
https://huggingface.co/nvidia/difix/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://nvidia/difix/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/nvidia/difix/resolve/main/vae/diffusion_pytorch_model.safetensors
339 MB
- Xet hash:
- a060798cc385a0cac0c85e6eb53f0619e2f4400f9ffadebb979899db70ae1e46
- Size of remote file:
- 339 MB
- SHA256:
- 20a5e872469d801876e448ec1d499b1e99cc666497a6aa133ed22c9e0a7a1a25
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