Instructions to use Efficient-Large-Model/pi3x-intrinsics-estimator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Efficient-Large-Model/pi3x-intrinsics-estimator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Efficient-Large-Model/pi3x-intrinsics-estimator", 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
Pi3X intrinsics estimator
A remote modular block that estimates
camera intrinsics [fx, fy, cx, cy] for a single image using Pi3X, for use with
SanaWMPipeline.
import torch
from diffusers import ModularPipeline
from diffusers.utils import load_image
estimator = ModularPipeline.from_pretrained(
"Efficient-Large-Model/pi3x-intrinsics-estimator", trust_remote_code=True
)
estimator.load_components(dtype=torch.bfloat16)
intrinsics = estimator(image=load_image("input.png"), output="intrinsics")
Requires pip install pi3-vision torchvision.
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