Model Card for StableNormal
This repository contains the weights of StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
Usage
See the Github repository: https://github.com/Stable-X/StableNormal regarding installation instructions.
The model can then be used as follows:
import torch
from PIL import Image
# Load an image
input_image = Image.open("path/to/your/image.jpg")
# Create predictor instance
predictor = torch.hub.load("Stable-X/StableNormal", "StableNormal_turbo", trust_repo=True, yoso_version='yoso-normal-v0-3')
# Apply the model to the image
normal_image = predictor(input_image)
# Save or display the result
normal_image.save("output/normal_map.png")
- Downloads last month
- 1,493
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.