utils.py

import sys
import os
import base64

import torch
from PIL import Image

import dnnlib
import legacy


def load_stylegan2(model_path, device):
    """
    Loads the stylegan2 generator.

    Arguments:
        model_path (str): Path to model
        device (str): Device to load model on

    Returns:
        G (nn.Module): Stylegan generator
        w_avg (Tensor): The average style vector in W space
    """

    with dnnlib.util.open_url(model_path) as f:
        G = legacy.load_network_pkl(f)["G_ema"]
    w_avg = G.mapping.w_avg.repeat(14, 1)
    w_avg = w_avg.to(device)
    G = G.to(device)

    return G, w_avg


def tensor2im(var):
    """
    Converts a tensor image to PIL Image. Taken from the stylegan2-ada-pytorch repo
    Arguments:
        var (Tensor): Tensor representing the input image

    Returns:
        image (PIL.Image): Image displayed

    """
    var = (var.permute(1, 2, 0) * 127.5 + 127.5).clamp(0, 255).to(torch.uint8)
    return Image.fromarray(var.cpu().numpy(), "RGB")