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
Upload folder using huggingface_hub
Browse files
.DS_Store
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hdr_merge_mlp/config.json
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{
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"_class_name": "HDR_MLP",
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"_diffusers_version": "0.32.1",
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"hidden_dim": 64,
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"in_dim": 6,
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"num_layers": 5,
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"out_activation": "softplus",
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"out_dim": 3
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}
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hdr_merge_mlp/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:91cc157594216c13aa734e718c23c0c293c916f82e7f94a33fe11dab048bf213
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size 53284
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