add compatibility reexport for codeformers

This commit is contained in:
Vladimir Mandic
2023-10-18 13:01:26 -04:00
parent 231ca1ac7e
commit 079f5c9f2a
5 changed files with 8 additions and 5 deletions
+2
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@@ -9,6 +9,8 @@ Service release addressing all zero-day issues reported so far...
- fix freeu for backend original and add it to xyz grid
- fix loading diffuser models in huggingface format from non-standard location
- fix default styles looking in wrong location
- fix missing upscaler folder on initial startup
- enhance extension compatibility for exensions directly importing codeformers
- update `typing-extensions`
**Themes**
+2 -1
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@@ -182,7 +182,8 @@ class Api:
if shared.opts.motd:
res = requests.get('https://vladmandic.github.io/automatic/motd', timeout=10)
if res.status_code == 200:
shared.log.info(f'MOTD: {res.text}')
msg = (res.text or '').strip()
shared.log.info(f'MOTD: {msg if len(msg) > 0 else "N/A"}')
motd += res.text
return motd
+1 -4
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@@ -1,9 +1,6 @@
import os
import sys
import cv2
import torch
import modules.face_restoration
from modules import shared, devices, modelloader, errors
from modules.paths import models_path
@@ -88,7 +85,7 @@ def setup_model(dirname):
cropped_face_t = cropped_face_t.unsqueeze(0).to(devices.device_codeformer)
try:
with devices.inference_context():
output = self.net(cropped_face_t, w=w if w is not None else shared.opts.code_former_weight, adain=True)[0]
output = self.net(cropped_face_t, w=w if w is not None else shared.opts.code_former_weight, adain=True)[0] # pylint: disable=not-callable
restored_face = tensor2img(output, rgb2bgr=True, min_max=(-1, 1))
del output
devices.torch_gc()
+2
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@@ -64,6 +64,8 @@ class Upscaler:
scalers.append(scaler)
loaded.append(model_path)
# modules.shared.log.debug(f'Upscaler type={self.name} folder="{self.user_path}" model="{model[0]}" path="{model_path}"')
if not os.path.exists(self.user_path):
return scalers
for fn in os.listdir(self.user_path): # from folder
if not fn.endswith('.pth') and not fn.endswith('.pt'):
continue
+1
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@@ -100,6 +100,7 @@ def initialize():
import modules.postprocess.codeformer_model as codeformer
codeformer.setup_model(opts.codeformer_models_path)
sys.modules["modules.codeformer_model"] = codeformer
import modules.postprocess.gfpgan_model as gfpgan
gfpgan.setup_model(opts.gfpgan_models_path)
timer.startup.record("face-restore")