Diffusers
Safetensors
PyTorch
lighting-estimation
hdr
environment-map
diffusion
video
transformer
lora
Instructions to use nvidia/LuxDiT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/LuxDiT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nvidia/LuxDiT") 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
Download luxdit_image/diffusion_pytorch_model.safetensors from nvidia/LuxDiT: direct link, hf CLI and curl.
- Browser
- Download file 11.1 GB
-
https://huggingface.co/nvidia/LuxDiT/resolve/main/luxdit_image/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://nvidia/LuxDiT/luxdit_image/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/nvidia/LuxDiT/resolve/main/luxdit_image/diffusion_pytorch_model.safetensors
11.1 GB
- Xet hash:
- 06e9435dfa2a5c7dd78ac3601662e22d93bfc6a7e4b5c46f9be35ea36079300f
- Size of remote file:
- 11.1 GB
- SHA256:
- 14373cebcb5b05880eba20b5015cd938adb65d9871131bfedcca237a724cceea
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