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Add new models, fix shared opts issues

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Add General x4x3, GeneralWDN x4x3, and AnimeVideo models from newer ESRGAN releases.

Fix issues caused by renaming ESRGAN_tille values to GAN_tile without using an IDE...
This commit is contained in:
d8ahazard 2022-09-20 20:11:53 -05:00 committed by AUTOMATIC1111
parent cc287d53a5
commit dd5566814a
2 changed files with 29 additions and 8 deletions
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4
modules/esrgan_model.py
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@ -92,10 +92,10 @@ def upscale_without_tiling(model, img):
def esrgan_upscale(model, img):
if opts.ESRGAN_tile == 0:
if opts.GAN_tile == 0:
return upscale_without_tiling(model, img)
grid = modules.images.split_grid(img, opts.ESRGAN_tile, opts.ESRGAN_tile, opts.ESRGAN_tile_overlap)
grid = modules.images.split_grid(img, opts.GAN_tile, opts.GAN_tile, opts.GAN_tile_overlap)
newtiles = []
scale_factor = 1

33
modules/realesrgan_model.py
View file

@ -2,7 +2,11 @@ import sys
import traceback
from collections import namedtuple
import numpy as np
import torch
from PIL import Image
from basicsr.archs.rrdbnet_arch import RRDBNet
from realesrgan import RealESRGANer
from realesrgan.archs.srvgg_arch import SRVGGNetCompact
import modules.images
from modules.shared import cmd_opts, opts
@ -35,9 +39,27 @@ def setup_realesrgan():
from realesrgan.archs.srvgg_arch import SRVGGNetCompact
realesrgan_models = [
RealesrganModelInfo(
name="Real-ESRGAN General x4x3",
location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth",
netscale=4,
model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')
),
RealesrganModelInfo(
name="Real-ESRGAN General WDN x4x3",
location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth",
netscale=4,
model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')
),
RealesrganModelInfo(
name="Real-ESRGAN AnimeVideo",
location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth",
netscale=4,
model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu')
),
RealesrganModelInfo(
name="Real-ESRGAN 4x plus",
location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
location="https://github.com/xinntao/Real-ESRGA N/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
netscale=4, model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4)
),
RealesrganModelInfo(
@ -64,21 +86,20 @@ def setup_realesrgan():
realesrgan_models = [RealesrganModelInfo('None', '', 0, None)]
have_realesrgan = False
def upscale_with_realesrgan(image, RealESRGAN_upscaling, RealESRGAN_model_index):
if not have_realesrgan or RealESRGANer_constructor is None:
if not have_realesrgan:
return image
info = realesrgan_models[RealESRGAN_model_index]
model = info.model()
upsampler = RealESRGANer_constructor(
upsampler = RealESRGANer(
scale=info.netscale,
model_path=info.location,
model=model,
half=not cmd_opts.no_half,
tile=opts.ESRGAN_tile,
tile_pad=opts.ESRGAN_tile_overlap,
tile=opts.GAN_tile,
tile_pad=opts.GAN_tile_overlap,
)
upsampled = upsampler.enhance(np.array(image), outscale=RealESRGAN_upscaling)[0]