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: 462 Bytes
f348660 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | from pathlib import Path
import sys
SRC = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(SRC))
from inference_runtime import launch
HERE = Path(__file__).resolve().parent
ROOT = HERE.parents[2]
launch(
SRC / "Baselines/da3/inference.py",
("--data_root", str(ROOT / "evaluation_dataset/Smoke-Eval"), "--checkpoint", str(ROOT / "checkpoints/baselines/da3/da3metric-large.safetensors"), "--output_dir", str(ROOT / "inference_results/da3")),
)
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