Instructions to use phi-lab-rice/GRADE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phi-lab-rice/GRADE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("phi-lab-rice/GRADE", 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
File size: 1,512 Bytes
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license: cc-by-nc-4.0
---
# Smoke-Eval evaluation data
The [public evaluation dataset](https://huggingface.co/datasets/mypersonalsharingspot11/evaluation_dataset)
contains 20 held-out Smoke-Eval sequences and `Smoke-Eval-RadarCam-Depth.zip`.
It is the evaluation input for the GRADE artifact. The Rice/Ti-Zed-Dji and
IQ1M training datasets mentioned in an earlier release-plan README are not
part of this repository and are not needed for the artifact's E1 or E2
evaluation workflows.
Download into the artifact code directory with the Hugging Face CLI:
```bash
hf auth login # recommended for the many small files; use a secure local prompt
hf download mypersonalsharingspot11/evaluation_dataset \
--repo-type dataset --local-dir evaluation_dataset
python -m zipfile -e evaluation_dataset/Smoke-Eval-RadarCam-Depth.zip evaluation_dataset
```
The artifact scripts expect `evaluation_dataset/Smoke-Eval/<sequence>/` and
`evaluation_dataset/Smoke-Eval-RadarCam-Depth/`. Ensure the ZIP does not leave
an extra nested `Smoke-Eval-RadarCam-Depth/` directory. Anonymous downloads
may encounter rate limits because the repository contains many small files.
This README describes what is publicly hosted; it does not itself certify
consent, anonymization, or redistribution clearance. Those records must be
checked by the authors before any long-term archival deposit or expansion of
the dataset release. A versioned per-file manifest and permanent archive DOI
have not yet been included with this dataset.
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