Refactor esrgan_upscale to more generic upscale_with_model

This commit is contained in:
Aarni Koskela
2023-12-27 11:04:33 +02:00
parent 12c6f37f8e
commit e472383acb
2 changed files with 74 additions and 39 deletions

View File

@@ -1,13 +1,12 @@
import sys
import numpy as np
import torch
from PIL import Image
import modules.esrgan_model_arch as arch
from modules import modelloader, images, devices
from modules import modelloader, devices
from modules.shared import opts
from modules.upscaler import Upscaler, UpscalerData
from modules.upscaler_utils import upscale_with_model
def mod2normal(state_dict):
@@ -190,40 +189,10 @@ class UpscalerESRGAN(Upscaler):
return model
def upscale_without_tiling(model, img):
img = np.array(img)
img = img[:, :, ::-1]
img = np.ascontiguousarray(np.transpose(img, (2, 0, 1))) / 255
img = torch.from_numpy(img).float()
img = img.unsqueeze(0).to(devices.device_esrgan)
with torch.no_grad():
output = model(img)
output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
output = 255. * np.moveaxis(output, 0, 2)
output = output.astype(np.uint8)
output = output[:, :, ::-1]
return Image.fromarray(output, 'RGB')
def esrgan_upscale(model, img):
if opts.ESRGAN_tile == 0:
return upscale_without_tiling(model, img)
grid = images.split_grid(img, opts.ESRGAN_tile, opts.ESRGAN_tile, opts.ESRGAN_tile_overlap)
newtiles = []
scale_factor = 1
for y, h, row in grid.tiles:
newrow = []
for tiledata in row:
x, w, tile = tiledata
output = upscale_without_tiling(model, tile)
scale_factor = output.width // tile.width
newrow.append([x * scale_factor, w * scale_factor, output])
newtiles.append([y * scale_factor, h * scale_factor, newrow])
newgrid = images.Grid(newtiles, grid.tile_w * scale_factor, grid.tile_h * scale_factor, grid.image_w * scale_factor, grid.image_h * scale_factor, grid.overlap * scale_factor)
output = images.combine_grid(newgrid)
return output
return upscale_with_model(
model,
img,
tile_size=opts.ESRGAN_tile,
tile_overlap=opts.ESRGAN_tile_overlap,
)