aboutsummaryrefslogtreecommitdiffstats
path: root/extensions-builtin/SwinIR/scripts/swinir_model.py
diff options
context:
space:
mode:
authormissionfloyd <missionfloyd@users.noreply.github.com>2023-05-26 00:53:33 +0000
committerGitHub <noreply@github.com>2023-05-26 00:53:33 +0000
commit6645f23c4c715b1bc704c88a499b2f4224d7f1e6 (patch)
tree6aeb51e366254fe8993856a3db341690bb39dca5 /extensions-builtin/SwinIR/scripts/swinir_model.py
parent43bdaa2f0eda79c685792b06a2bd84c65806a48f (diff)
parenta6e653be26cc05f4438145fa0082816e9fbbf5fc (diff)
downloadstable-diffusion-webui-gfx803-6645f23c4c715b1bc704c88a499b2f4224d7f1e6.tar.gz
stable-diffusion-webui-gfx803-6645f23c4c715b1bc704c88a499b2f4224d7f1e6.tar.bz2
stable-diffusion-webui-gfx803-6645f23c4c715b1bc704c88a499b2f4224d7f1e6.zip
Merge branch 'dev' into reorder-hotkeys
Diffstat (limited to 'extensions-builtin/SwinIR/scripts/swinir_model.py')
-rw-r--r--extensions-builtin/SwinIR/scripts/swinir_model.py9
1 files changed, 4 insertions, 5 deletions
diff --git a/extensions-builtin/SwinIR/scripts/swinir_model.py b/extensions-builtin/SwinIR/scripts/swinir_model.py
index e8783bca..1c7bf325 100644
--- a/extensions-builtin/SwinIR/scripts/swinir_model.py
+++ b/extensions-builtin/SwinIR/scripts/swinir_model.py
@@ -1,4 +1,3 @@
-import contextlib
import os
import numpy as np
@@ -8,7 +7,7 @@ from basicsr.utils.download_util import load_file_from_url
from tqdm import tqdm
from modules import modelloader, devices, script_callbacks, shared
-from modules.shared import cmd_opts, opts, state
+from modules.shared import opts, state
from swinir_model_arch import SwinIR as net
from swinir_model_arch_v2 import Swin2SR as net2
from modules.upscaler import Upscaler, UpscalerData
@@ -45,14 +44,14 @@ class UpscalerSwinIR(Upscaler):
img = upscale(img, model)
try:
torch.cuda.empty_cache()
- except:
+ except Exception:
pass
return img
def load_model(self, path, scale=4):
if "http" in path:
dl_name = "%s%s" % (self.model_name.replace(" ", "_"), ".pth")
- filename = load_file_from_url(url=path, model_dir=self.model_path, file_name=dl_name, progress=True)
+ filename = load_file_from_url(url=path, model_dir=self.model_download_path, file_name=dl_name, progress=True)
else:
filename = path
if filename is None or not os.path.exists(filename):
@@ -151,7 +150,7 @@ def inference(img, model, tile, tile_overlap, window_size, scale):
for w_idx in w_idx_list:
if state.interrupted or state.skipped:
break
-
+
in_patch = img[..., h_idx: h_idx + tile, w_idx: w_idx + tile]
out_patch = model(in_patch)
out_patch_mask = torch.ones_like(out_patch)